There are two systems for measuring angles: the degree system and the radian system. The degree system divides a full circle into 360 equal angles of 1 degree each. The radian system defines an angle as the arc length cut out by the angle on a unit circle of radius 1, where a full circle corresponds to 2π radians. While the degree system is commonly used, the radian system is preferred in mathematics due to its relationship to circle geometry formulas involving arc lengths and wedge areas.
The document discusses exponential and logarithmic functions. Exponential functions of the form f(x) = b^x are called exponential functions in base b. Logarithmic functions log_b(y) represent the exponent x needed to raise the base b to a power to get the output y. The exponential form b^x = y and logarithmic form x = log_b(y) describe the same relationship between the base b, exponent x, and output y. Questions can be translated between these forms by rewriting the exponential expression as a logarithm or vice versa. Examples demonstrate rewriting expressions and graphing logarithmic functions.
- The derivative of a function f(x) represents the instantaneous rate of change of the output y with respect to the input x. It is equivalent to the slope of the tangent line and the amount of change in y for a 1 unit change in x.
- For a linear price-demand function of y = f(x) chickens sold given price x, the derivative of the revenue function R(x) = x*f(x) represents how revenue changes with a 1 unit change in price.
- The price that maximizes revenue occurs when the derivative of the revenue function R'(x) is 0, as this is where revenue is no longer increasing or decreasing with small changes in price.
The document discusses the concept of slope and the difference quotient formula for calculating slope. It defines a function f(x) and points P(x,f(x)) and Q(x+h, f(x+h)) on the graph of f(x). The slope of the cord connecting points P and Q is given by the difference quotient (f(x+h) - f(x))/h. An example problem calculates this slope for the specific points P(2,2) and Q(2.2,2.44) on the parabola y=x^2 - 2x + 2.
This document discusses rules for computing derivatives of functions. It begins by listing existing derivative rules and defining notation. It then derives and presents rules for the derivatives of trigonometric functions like sine, cosine, tangent, cotangent, secant and cosecant. An example problem demonstrates finding the derivative of the tangent function using previous rules.
The document discusses evaluating the formula log[(2x+1)/(sin1/3(x)+1)] at x=0 and x=10 degrees using a scientific calculator. It explains that the answer is 0 at x=0 and approximately 1.13 at x=10 degrees. It then describes the keyboard of a typical scientific calculator, noting the number, operation, yx, sin, log and formula keys. The rest of the document provides examples and definitions of algebraic, trigonometric and exponential-log formulas.
The document discusses limits of fractional expressions as the variable approaches certain values. It provides four basic facts about the limits of fractions of elementary functions: (1) if the numerator and denominator have defined limits, the fractional limit is the fraction of the limits; (2) if the numerator is bounded and the denominator diverges, the fractional limit is 0; (3) if the numerator diverges and the denominator is bounded, the fractional limit is infinity; (4) if both the numerator and denominator have limits of 0 or infinity, the fractional limit is inconclusive. It emphasizes that an undefined fractional limit does not necessarily mean the limit is inconclusive - it may simply not exist. Rationalizing expressions can sometimes resolve inconclusive fractional limits
3.2 implicit equations and implicit differentiationmath265
The document discusses implicit equations and implicit differentiation. It begins by explaining the difference between explicit and implicit forms of equations, using the example of y=1/x which can be written explicitly as y=1/x or implicitly as xy=1. It then introduces the concept of implicit differentiation, which involves taking the derivative of an implicit equation with respect to x and solving for the derivative of y with respect to x (y’). This allows one to find the slope of the curve at a point, even if the explicit form of the relation between x and y is difficult to determine from the implicit equation.
This document discusses algebraic expressions and polynomial expressions. It provides examples of algebraic expressions and defines them as formulas constructed with variables and numbers using basic arithmetic operations. Polynomials are defined as expressions of the form anxn + an-1xn-1 + ... + a1x + a0, where the ai's are numbers. The document gives examples of factoring polynomials and evaluating polynomial expressions at given values. It also discusses using factoring to find the roots of polynomial equations.
The document discusses exponential and logarithmic functions. Exponential functions of the form f(x) = b^x are called exponential functions in base b. Logarithmic functions log_b(y) represent the exponent x needed to raise the base b to a power to get the output y. The exponential form b^x = y and logarithmic form x = log_b(y) describe the same relationship between the base b, exponent x, and output y. Questions can be translated between these forms by rewriting the exponential expression as a logarithm or vice versa. Examples demonstrate rewriting expressions and graphing logarithmic functions.
- The derivative of a function f(x) represents the instantaneous rate of change of the output y with respect to the input x. It is equivalent to the slope of the tangent line and the amount of change in y for a 1 unit change in x.
- For a linear price-demand function of y = f(x) chickens sold given price x, the derivative of the revenue function R(x) = x*f(x) represents how revenue changes with a 1 unit change in price.
- The price that maximizes revenue occurs when the derivative of the revenue function R'(x) is 0, as this is where revenue is no longer increasing or decreasing with small changes in price.
The document discusses the concept of slope and the difference quotient formula for calculating slope. It defines a function f(x) and points P(x,f(x)) and Q(x+h, f(x+h)) on the graph of f(x). The slope of the cord connecting points P and Q is given by the difference quotient (f(x+h) - f(x))/h. An example problem calculates this slope for the specific points P(2,2) and Q(2.2,2.44) on the parabola y=x^2 - 2x + 2.
This document discusses rules for computing derivatives of functions. It begins by listing existing derivative rules and defining notation. It then derives and presents rules for the derivatives of trigonometric functions like sine, cosine, tangent, cotangent, secant and cosecant. An example problem demonstrates finding the derivative of the tangent function using previous rules.
The document discusses evaluating the formula log[(2x+1)/(sin1/3(x)+1)] at x=0 and x=10 degrees using a scientific calculator. It explains that the answer is 0 at x=0 and approximately 1.13 at x=10 degrees. It then describes the keyboard of a typical scientific calculator, noting the number, operation, yx, sin, log and formula keys. The rest of the document provides examples and definitions of algebraic, trigonometric and exponential-log formulas.
The document discusses limits of fractional expressions as the variable approaches certain values. It provides four basic facts about the limits of fractions of elementary functions: (1) if the numerator and denominator have defined limits, the fractional limit is the fraction of the limits; (2) if the numerator is bounded and the denominator diverges, the fractional limit is 0; (3) if the numerator diverges and the denominator is bounded, the fractional limit is infinity; (4) if both the numerator and denominator have limits of 0 or infinity, the fractional limit is inconclusive. It emphasizes that an undefined fractional limit does not necessarily mean the limit is inconclusive - it may simply not exist. Rationalizing expressions can sometimes resolve inconclusive fractional limits
3.2 implicit equations and implicit differentiationmath265
The document discusses implicit equations and implicit differentiation. It begins by explaining the difference between explicit and implicit forms of equations, using the example of y=1/x which can be written explicitly as y=1/x or implicitly as xy=1. It then introduces the concept of implicit differentiation, which involves taking the derivative of an implicit equation with respect to x and solving for the derivative of y with respect to x (y’). This allows one to find the slope of the curve at a point, even if the explicit form of the relation between x and y is difficult to determine from the implicit equation.
This document discusses algebraic expressions and polynomial expressions. It provides examples of algebraic expressions and defines them as formulas constructed with variables and numbers using basic arithmetic operations. Polynomials are defined as expressions of the form anxn + an-1xn-1 + ... + a1x + a0, where the ai's are numbers. The document gives examples of factoring polynomials and evaluating polynomial expressions at given values. It also discusses using factoring to find the roots of polynomial equations.
1.2 review on algebra 2-sign charts and inequalitiesmath265
The document discusses sign charts and inequalities. It explains that sign charts can be used to determine if expressions are positive or negative by factoring them and evaluating at given values of x. Examples are provided to demonstrate how to construct a sign chart by: 1) solving for where the expression equals 0, 2) marking these values on a number line, and 3) evaluating the expression at sample points in each segment to determine the signs in between values where the expression equals 0. The sign chart then indicates the ranges where the expression is positive, negative or zero.
1) The document discusses derivatives as rates of change, using the example of a stone thrown straight up.
2) It is found that the stone will stay in the air for 6 seconds, reaching its maximum height of 144 feet after 3 seconds.
3) The derivative of the height function D(t) represents the instantaneous rate of change of height, or speed, at each time t. This rate varies throughout the stone's trajectory.
The document discusses related rates problems. It begins by using resizing a rectangle on a computer screen as an example to demonstrate how the rates of change of the length (L) and width (W) relate to the rate of change of the area (A). The key steps are: (1) the area A is given by A=LW, (2) take the derivative of both sides, (3) use the product rule and chain rule to obtain A'=L'W+LW', (4) plug in the given rates of L' and W' to solve for A'.
The document then provides examples to demonstrate how to set up and solve related rates problems by translating the given rates into derivatives, applying
4.5 continuous functions and differentiable functionsmath265
The document discusses continuous and differentiable functions. It defines elementary functions as those constructed using basic operations like addition and multiplication. Continuous functions over a closed interval are bounded and have absolute maximum and minimum values. The Intermediate Value Theorem states that a continuous function takes on all values between its minimum and maximum. Differentiable functions are continuous. Rolle's Theorem says that if a differentiable function is equal at the endpoints of an interval, its derivative is zero somewhere in between.
The document discusses properties of derivatives and how they relate to limits. It states that the sum, difference, and constant multiple rules for limits directly apply to differentiation. However, the product and quotient rules for limits do not directly apply to differentiation, which has more complicated product and quotient rules. Elementary functions are defined in terms of a few basic formulas and operations. The document then examines the sum and constant multiple rules for derivatives in more detail, proving them using limits. It also provides a geometric illustration of how the derivative of a sum is equal to the sum of the derivatives.
3.3 graphs of factorable polynomials and rational functionsmath265
The document discusses graphs of factorable polynomials. It begins by showing examples of graphs of even and odd degree polynomials like y=x2, y=x4, y=x3, and y=-x5. It then explains that the graphs of polynomials are smooth, unbroken curves. For large values of x, the leading term of a polynomial dominates and determines the graph's behavior. Based on the leading term and whether the degree is even or odd, the graph exhibits one of four behaviors as x approaches infinity. The document demonstrates how to construct the sign chart of a polynomial from its roots and use it to sketch the central portion of the graph. It provides an example of sketching the graph of y=x
The document discusses using sign charts to solve polynomial and rational inequalities. It provides examples of solving inequalities by setting one side equal to zero, factoring the expression, drawing the sign chart, and determining the solutions from the regions with the appropriate signs. Specifically, it works through examples of solving x^2 - 3x > 4, 2x^2 - x^3/(x^2 - 2x + 1) < 0, and (x - 2)/(2/(x - 1)) < 3.
The document defines the derivative of a function f(x) as the limit of the difference quotient (f(x+h) - f(x))/h as h approaches 0. This represents the slope of the tangent line to the function f(x) at the point x. An example is worked out where the derivative of the function f(x) = x^2 - 2x + 2 is calculated to be 2x - 2. The derivative is denoted by f'(x) and represents the instantaneous rate of change of the function at the point x.
The document discusses slopes and derivatives. It defines slope as the ratio of the "rise" over the "run" between two points on a line. For a curve, the slope at a point is defined as the slope of the tangent line at that point. The derivative at a point is also called the slope of the tangent line and represents the instantaneous rate of change of the function at that point. The document provides an example of using slopes to calculate rates like velocity and fuel efficiency from distance and time measurements.
The document discusses calculating the slope of a curve between two points (x, f(x)) and (x+h, f(x+h)) using the difference quotient formula. It defines the difference quotient as (f(x+h) - f(x))/h, where h is the difference between x and x+h. An example calculates the slope between the points (2, f(2)) and (2.2, f(2.2)) for the function f(x) = x^2 - 2x + 2, finding the slope to be 0.44.
The document summarizes different types of derivatives. It discusses simple derivatives where there is one input and output, and defines them. It then discusses implicit derivatives where a relationship between two variables is given and the derivative of one with respect to the other is sought using implicit differentiation. An example finds the derivative of u with respect to v and v with respect to u for the equation 2u^2 - v^3 = 2 - uv. Reciprocal relationships between the derivatives are noted.
The document discusses limits and derivatives. It explains that in calculating the derivative of f(x)=x^2 - 2x + 2, the slope formula was simplified. As h approaches 0, the chords slide towards the tangent line, so the slope at (x,f(x)) is 2x-2. It then provides definitions and explanations for what it means for a variable to approach 0 from the right, left, or in general, to clarify the procedure of obtaining slopes using limits.
This document discusses optimization problems in real-world applications and the role of derivatives. It provides examples of functions that may or may not have extrema over an interval. The extrema theorem for continuous functions states that a continuous function over a closed interval will have both an absolute maximum and minimum. Extrema can occur where the derivative is zero, where the derivative is undefined, or at the endpoints. Examples are provided to illustrate the different types of extrema.
6.2 special cases system of linear equationsmath260
The document discusses special cases of systems of linear equations, including inconsistent/contradictory systems that have no solution, dependent systems that have infinitely many solutions, and the process of putting a system's augmented matrix into row-reduced echelon form (rref-form) to identify which type it is. It provides examples of an inconsistent system with equations x+y=2 and x+y=3, and a dependent system with equations x+y=2 and 2x+2y=4.
This document discusses first degree functions and linear equations. It explains that most real-world mathematical functions can be composed of algebraic, trigonometric, or exponential/log formulas. Linear equations of the form Ax + By = C represent straight lines that can be graphed by finding the x- and y-intercepts. If an equation contains only one variable, it represents a vertical or horizontal line. The slope-intercept form y = mx + b is introduced, where m is the slope and b is the y-intercept. Slope is defined as the ratio of the rise over the run between two points on a line.
The document discusses factorable polynomials and graphing them. It defines a factorable polynomial P(x) as one that can be written as the product of linear factors P(x) = an(x - r1)(x - r2)...(x - rk), where r1, r2, etc. are the roots of P(x). It explains that for large values of |x|, the leading term of P(x) dominates so the graph resembles that of the leading term, while near the roots other terms contribute to the shape of the graph. Examples of graphs of polynomials like x^n are provided to illustrate the approach.
The document discusses quadratic functions and parabolas. It defines quadratic functions as functions of the form y = ax2 + bx + c, where a ≠ 0. It states that the graphs of quadratic equations are called parabolas. Parabolas are symmetric around a central line, with the vertex (highest/lowest point) located on this line. The vertex formula is given as x = -b/2a. Steps for graphing a parabola are outlined, including finding the vertex, another point, and reflections across the central line. An example graphs the parabola y = x2 - 4x - 12, finding the vertex as (2, -16) and x-intercepts as -
The document discusses mathematical expressions and polynomials. It provides examples of algebraic expressions involving variables and operations. Polynomial expressions are algebraic expressions that can be written in the form anxn + an-1xn-1 + ... + a1x + a0, where the ai coefficients are numbers. The document gives examples of factoring polynomials using formulas like a3b3 = (ab)(a2ab + b2). Factoring polynomials makes it easier to calculate outputs and simplify expressions for operations like addition and subtraction.
The document discusses polynomial division algorithms. It introduces long division and synthetic division as methods for dividing polynomials. Long division is analogous to dividing numbers, where the dividend is divided by the divisor to obtain a quotient and remainder. Synthetic division is simpler but can only be used to divide a polynomial by a monomial. The key points are then demonstrated through worked examples of long division.
The document discusses the substitution method of integration. It explains that while the derivative of an elementary function is another elementary function, the antiderivative may not be. There are two main integration methods: substitution and integration by parts. Substitution reverses the chain rule by letting u be a function of x with derivative u', then substituting u for x and replacing dx with du/u' in the integral.
This document discusses properties and laws of logarithms. It contains the following key points:
1. Logarithms represent exponents - the logarithm of a number is the exponent that the base must be raised to to produce that number.
2. Basic properties of logarithms include: logarithms are only defined for positive values; log 1 = 0 and log b = 1 for any base b; and the property that b^log(x) = x.
3. The product and quotient laws state that for logarithms with the same base, log(ab) = log(a) + log(b) and log(a/b) = log(a) - log(b).
This document describes various instruments used to measure angles, including protractors, vernier bevel protractors, optical bevel protractors, sine bars, sine centers, angle gauges, and clinometers. It provides details on how each instrument works, its components, and advantages and disadvantages. For example, it explains that a vernier bevel protractor uses a main scale divided into degrees and a vernier scale divided into minutes to measure angles with precision down to minutes of an arc. A sine bar is used with slip gauges to measure angles but becomes less accurate above 15 degrees.
1.2 review on algebra 2-sign charts and inequalitiesmath265
The document discusses sign charts and inequalities. It explains that sign charts can be used to determine if expressions are positive or negative by factoring them and evaluating at given values of x. Examples are provided to demonstrate how to construct a sign chart by: 1) solving for where the expression equals 0, 2) marking these values on a number line, and 3) evaluating the expression at sample points in each segment to determine the signs in between values where the expression equals 0. The sign chart then indicates the ranges where the expression is positive, negative or zero.
1) The document discusses derivatives as rates of change, using the example of a stone thrown straight up.
2) It is found that the stone will stay in the air for 6 seconds, reaching its maximum height of 144 feet after 3 seconds.
3) The derivative of the height function D(t) represents the instantaneous rate of change of height, or speed, at each time t. This rate varies throughout the stone's trajectory.
The document discusses related rates problems. It begins by using resizing a rectangle on a computer screen as an example to demonstrate how the rates of change of the length (L) and width (W) relate to the rate of change of the area (A). The key steps are: (1) the area A is given by A=LW, (2) take the derivative of both sides, (3) use the product rule and chain rule to obtain A'=L'W+LW', (4) plug in the given rates of L' and W' to solve for A'.
The document then provides examples to demonstrate how to set up and solve related rates problems by translating the given rates into derivatives, applying
4.5 continuous functions and differentiable functionsmath265
The document discusses continuous and differentiable functions. It defines elementary functions as those constructed using basic operations like addition and multiplication. Continuous functions over a closed interval are bounded and have absolute maximum and minimum values. The Intermediate Value Theorem states that a continuous function takes on all values between its minimum and maximum. Differentiable functions are continuous. Rolle's Theorem says that if a differentiable function is equal at the endpoints of an interval, its derivative is zero somewhere in between.
The document discusses properties of derivatives and how they relate to limits. It states that the sum, difference, and constant multiple rules for limits directly apply to differentiation. However, the product and quotient rules for limits do not directly apply to differentiation, which has more complicated product and quotient rules. Elementary functions are defined in terms of a few basic formulas and operations. The document then examines the sum and constant multiple rules for derivatives in more detail, proving them using limits. It also provides a geometric illustration of how the derivative of a sum is equal to the sum of the derivatives.
3.3 graphs of factorable polynomials and rational functionsmath265
The document discusses graphs of factorable polynomials. It begins by showing examples of graphs of even and odd degree polynomials like y=x2, y=x4, y=x3, and y=-x5. It then explains that the graphs of polynomials are smooth, unbroken curves. For large values of x, the leading term of a polynomial dominates and determines the graph's behavior. Based on the leading term and whether the degree is even or odd, the graph exhibits one of four behaviors as x approaches infinity. The document demonstrates how to construct the sign chart of a polynomial from its roots and use it to sketch the central portion of the graph. It provides an example of sketching the graph of y=x
The document discusses using sign charts to solve polynomial and rational inequalities. It provides examples of solving inequalities by setting one side equal to zero, factoring the expression, drawing the sign chart, and determining the solutions from the regions with the appropriate signs. Specifically, it works through examples of solving x^2 - 3x > 4, 2x^2 - x^3/(x^2 - 2x + 1) < 0, and (x - 2)/(2/(x - 1)) < 3.
The document defines the derivative of a function f(x) as the limit of the difference quotient (f(x+h) - f(x))/h as h approaches 0. This represents the slope of the tangent line to the function f(x) at the point x. An example is worked out where the derivative of the function f(x) = x^2 - 2x + 2 is calculated to be 2x - 2. The derivative is denoted by f'(x) and represents the instantaneous rate of change of the function at the point x.
The document discusses slopes and derivatives. It defines slope as the ratio of the "rise" over the "run" between two points on a line. For a curve, the slope at a point is defined as the slope of the tangent line at that point. The derivative at a point is also called the slope of the tangent line and represents the instantaneous rate of change of the function at that point. The document provides an example of using slopes to calculate rates like velocity and fuel efficiency from distance and time measurements.
The document discusses calculating the slope of a curve between two points (x, f(x)) and (x+h, f(x+h)) using the difference quotient formula. It defines the difference quotient as (f(x+h) - f(x))/h, where h is the difference between x and x+h. An example calculates the slope between the points (2, f(2)) and (2.2, f(2.2)) for the function f(x) = x^2 - 2x + 2, finding the slope to be 0.44.
The document summarizes different types of derivatives. It discusses simple derivatives where there is one input and output, and defines them. It then discusses implicit derivatives where a relationship between two variables is given and the derivative of one with respect to the other is sought using implicit differentiation. An example finds the derivative of u with respect to v and v with respect to u for the equation 2u^2 - v^3 = 2 - uv. Reciprocal relationships between the derivatives are noted.
The document discusses limits and derivatives. It explains that in calculating the derivative of f(x)=x^2 - 2x + 2, the slope formula was simplified. As h approaches 0, the chords slide towards the tangent line, so the slope at (x,f(x)) is 2x-2. It then provides definitions and explanations for what it means for a variable to approach 0 from the right, left, or in general, to clarify the procedure of obtaining slopes using limits.
This document discusses optimization problems in real-world applications and the role of derivatives. It provides examples of functions that may or may not have extrema over an interval. The extrema theorem for continuous functions states that a continuous function over a closed interval will have both an absolute maximum and minimum. Extrema can occur where the derivative is zero, where the derivative is undefined, or at the endpoints. Examples are provided to illustrate the different types of extrema.
6.2 special cases system of linear equationsmath260
The document discusses special cases of systems of linear equations, including inconsistent/contradictory systems that have no solution, dependent systems that have infinitely many solutions, and the process of putting a system's augmented matrix into row-reduced echelon form (rref-form) to identify which type it is. It provides examples of an inconsistent system with equations x+y=2 and x+y=3, and a dependent system with equations x+y=2 and 2x+2y=4.
This document discusses first degree functions and linear equations. It explains that most real-world mathematical functions can be composed of algebraic, trigonometric, or exponential/log formulas. Linear equations of the form Ax + By = C represent straight lines that can be graphed by finding the x- and y-intercepts. If an equation contains only one variable, it represents a vertical or horizontal line. The slope-intercept form y = mx + b is introduced, where m is the slope and b is the y-intercept. Slope is defined as the ratio of the rise over the run between two points on a line.
The document discusses factorable polynomials and graphing them. It defines a factorable polynomial P(x) as one that can be written as the product of linear factors P(x) = an(x - r1)(x - r2)...(x - rk), where r1, r2, etc. are the roots of P(x). It explains that for large values of |x|, the leading term of P(x) dominates so the graph resembles that of the leading term, while near the roots other terms contribute to the shape of the graph. Examples of graphs of polynomials like x^n are provided to illustrate the approach.
The document discusses quadratic functions and parabolas. It defines quadratic functions as functions of the form y = ax2 + bx + c, where a ≠ 0. It states that the graphs of quadratic equations are called parabolas. Parabolas are symmetric around a central line, with the vertex (highest/lowest point) located on this line. The vertex formula is given as x = -b/2a. Steps for graphing a parabola are outlined, including finding the vertex, another point, and reflections across the central line. An example graphs the parabola y = x2 - 4x - 12, finding the vertex as (2, -16) and x-intercepts as -
The document discusses mathematical expressions and polynomials. It provides examples of algebraic expressions involving variables and operations. Polynomial expressions are algebraic expressions that can be written in the form anxn + an-1xn-1 + ... + a1x + a0, where the ai coefficients are numbers. The document gives examples of factoring polynomials using formulas like a3b3 = (ab)(a2ab + b2). Factoring polynomials makes it easier to calculate outputs and simplify expressions for operations like addition and subtraction.
The document discusses polynomial division algorithms. It introduces long division and synthetic division as methods for dividing polynomials. Long division is analogous to dividing numbers, where the dividend is divided by the divisor to obtain a quotient and remainder. Synthetic division is simpler but can only be used to divide a polynomial by a monomial. The key points are then demonstrated through worked examples of long division.
The document discusses the substitution method of integration. It explains that while the derivative of an elementary function is another elementary function, the antiderivative may not be. There are two main integration methods: substitution and integration by parts. Substitution reverses the chain rule by letting u be a function of x with derivative u', then substituting u for x and replacing dx with du/u' in the integral.
This document discusses properties and laws of logarithms. It contains the following key points:
1. Logarithms represent exponents - the logarithm of a number is the exponent that the base must be raised to to produce that number.
2. Basic properties of logarithms include: logarithms are only defined for positive values; log 1 = 0 and log b = 1 for any base b; and the property that b^log(x) = x.
3. The product and quotient laws state that for logarithms with the same base, log(ab) = log(a) + log(b) and log(a/b) = log(a) - log(b).
This document describes various instruments used to measure angles, including protractors, vernier bevel protractors, optical bevel protractors, sine bars, sine centers, angle gauges, and clinometers. It provides details on how each instrument works, its components, and advantages and disadvantages. For example, it explains that a vernier bevel protractor uses a main scale divided into degrees and a vernier scale divided into minutes to measure angles with precision down to minutes of an arc. A sine bar is used with slip gauges to measure angles but becomes less accurate above 15 degrees.
The document discusses properties of logarithms. It begins by recalling rules of exponents and their corresponding rules of logarithms. Four basic logarithm rules are presented: 1) logb(1) = 0, 2) logb(xy) = logb(x) + logb(y), 3) logb(x/y) = logb(x) - logb(y), 4) logb(xt) = tlogb(x). It then works through an example problem to demonstrate using these rules to write the logarithm of a expression in terms of logarithms of its variables. It concludes by noting that logarithms and exponentials are inverse functions, so logb(bx) =
This document provides information about compass surveying and different types of traverses. It discusses open and closed traverses, with open traverses having starting and end points that do not coincide and closed traverses having starting and end points that do coincide. It also describes four methods of traversing: chain traversing, loose needle method, fast needle method, and angular measurement method. Finally, it lists common instruments used for angle measurement in surveying, including various types of compasses, a theodolite, and sextant.
The document discusses various topics in metrology and measurement. It begins by defining metrology as the science of measurement and discusses standards used for measurement. It then describes different types of linear and angular measurement tools, including rules, calipers, micrometers, height gauges, protractors, and sine bars. The document also covers measurement terminology, types of errors, calibration, and comparators used for inspection.
The document discusses various types of linear measurement instruments. It describes precision instruments such as vernier calipers, micrometers, height gauges and depth gauges. Vernier calipers use two scales to increase measurement accuracy to 0.1mm. Micrometers can measure to 0.01mm using a screw mechanism and 50-division thimble scale. Precision instruments like depth micrometers and bench micrometers are used to measure internal features and provide repeated measurements.
This document discusses various methods for measuring angular velocity, including tachometers, tachogenerators, and stroboscopic methods. Tachometers can be classified based on data acquisition method, measurement technique, display method, and working principle. Common tachometer types include mechanical tachometers like revolution counters and tachoscopes, and electrical tachometers like drag cup and commutated types. Tachogenerators convert rotational speed to voltage signals, with AC types providing higher output than DC types. Stroboscopic methods measure periodic motion by flashing light to make moving objects appear stationary.
This document discusses metrology and measurement tools. It begins with definitions of metrology and its branches. Key points include that metrology is the science of measurement, and there are three main types of metrology. The document then covers the history of measuring length, mass, and time. It discusses important measurement systems like MKS, CGS, and FPS. The functions of inspection departments and advantages are outlined. Finally, common tools for inspection like calipers, micrometers, and gages are described, as well as linear and angular measuring devices.
Gauges are precision measurement tools used to ensure dimensional accuracy and interchangeability of manufactured components. There are several types of gauges classified by their design, including plug, ring, snap, and thread gauges. Key materials for gauges include high carbon steel and cemented carbides due to their hardness and wear resistance. Proper design of limit gauges involves allocating tolerances for manufacturing variability and wear over the gauge's lifespan.
This document discusses various instruments used to measure angles:
- Protractors, bevel protractors, vernier bevel protractors, and optical bevel protractors are used to measure angles between two faces. Vernier bevel protractors provide more precise readings through a vernier scale.
- Sine bars and sine centers are used with slip gauges to measure angles through trigonometric functions. Sine bars become inaccurate for angles over 45 degrees.
- Angle gauges precisely measure angles through calibrated blocks that can be added or subtracted.
- Spirit levels and clinometers measure angles of incline relative to horizontal, with clinometers providing a scale to measure the exact
The document discusses how to use a micrometer and vernier caliper to accurately measure objects. It explains that a micrometer can measure to the thousandths of a millimeter, while a vernier caliper uses both a main scale and vernier scale to determine measurements to the hundredths of a centimeter. Examples are provided of taking measurements with both tools and calculating the readings based on where the scales align. The document concludes by having the reader take measurements of some everyday objects using the micrometer and vernier caliper.
This presentation by Hooria Shahzad is about measuring instruments in which we study metre rule, measuring tape, vernier callipers and screw gauge ; construction of vernier callipers and screw gauge.
There are two main systems for measuring angles: the degree system and radian system. The degree system divides a full rotation into 360 equal degrees, while the radian system defines an angle as the arc length cut out on a unit circle. There are also two important types of right triangles used in trigonometry: the 45-45-90 triangle where the two legs have length a and the hypotenuse has length a√2, and the 30-60-90 triangle where one leg has length a, the other has length a/2, and the hypotenuse has length 2a.
The document discusses two systems for measuring angles: degrees and radians. The degree system divides a full circle into 360 degrees, similar to time measurement. The radian system measures the arc length cut out on a unit circle, where a full circle is 2π radians. Important conversions between the two systems are provided. The radian measurement of an angle represents the length of the arc it cuts out on a unit circle centered at the origin.
This document discusses trigonometric functions. It begins by defining trigonometric functions as generalizations of trigonometric ratios to any angle measure, in terms of radian measure. It defines the six trigonometric functions - sine, cosine, tangent, cotangent, secant, and cosecant - in terms of the x-coordinate and y-coordinate of a point on a unit circle. Key properties discussed include the periodic nature of the functions and their values for quadrantal and other common angles.
This document provides an overview of fundamentals of trigonometry including:
- There are two main types of trigonometry - plane and spherical trigonometry. Plane trigonometry deals with angles and triangles in a plane, while spherical trigonometry deals with triangles on a sphere.
- An angle is defined as the union of two rays with a common endpoint, and can be measured in degrees or radians. There are four quadrants used to classify angles in the Cartesian plane.
- The trigonometric ratios of sine, cosine, and tangent are defined based on the sides of a right triangle containing the angle of interest. These ratios are fundamental functions in trigonometry.
This document provides an overview of trigonometry including definitions and classifications of angles, triangles, and trigonometric functions. It discusses measuring angles in degrees and radians, converting between the two units, and calculating arc length, angular velocity, and linear velocity using trigonometric relationships. Examples are provided to illustrate key concepts related to angle measure, coterminal angles, circular motion, and the relationships between linear and angular quantities.
This document provides information about measuring angles in degrees and radians. It defines an angle, discusses how angles are measured in degrees using decimal degrees and degrees-minutes-seconds notation, and how to convert between these forms. It also covers adding, subtracting, multiplying and dividing angles. Finally, it introduces radians as another unit of measuring angles, and how to convert between degrees and radians.
The document discusses radian measurement as it relates to angles on a unit circle. It defines the unit circle as having a radius of 1 centered at the origin, and explains that the radian measurement of an angle θ is the length of the arc cut off by θ on the unit circle. It provides conversions between radians and degrees for common angles. It then presents formulas for finding arc length and area of a sector on a circle using radian measurements of the central angle. Examples applying these formulas to find the crust length and area of a pizza slice are also included.
Angles, Triangles of Trigonometry. Pre - Calculusjohnnavarro197
This presentation will help learners to grasp and understand trigonometry concepts such as angles, triangles. It encompasses basic fundamental topics of trigonometry.
9 trigonometric functions via the unit circle natmath260
The document discusses radian measurements of angles using the unit circle. It defines the unit circle as having a radius of 1 centered at the origin. The radian measurement of an angle is defined as the length of the arc cut out by that angle on the unit circle. Important conversions between degrees and radians are provided. Trigonometric functions like sine, cosine, and tangent are then defined using the unit circle for any real number angle measurement.
The document discusses the formulas for calculating the arc length and area of a sector of a circle, stating that the arc length is equal to the radius multiplied by the central angle and the area of a sector is equal to one-half the radius squared multiplied by the central angle. It provides examples of using these formulas to solve problems involving finding the arc length or area of a sector given the radius and central angle.
This module introduces the unit circle and trigonometric functions. It defines a unit circle as a circle with radius of 1 unit and discusses dividing the unit circle into congruent arcs. The module then covers converting between degrees and radians, defining angles intercepting arcs, and visualizing rotations along the unit circle. It concludes by discussing angles in standard position, quadrantal angles, and coterminal angles. Students are expected to learn key concepts like the unit circle, converting measures, and relating angles to arclengths and rotations.
PC_Q2_W1-2_Angles in a Unit Circle Presentation PPTRichieReyes12
This document covers measures of arcs in a unit circle. It discusses angle measure in degrees and radians, how to convert between the two units, and illustrates angles in standard position and coterminal angles. It also explains that in a unit circle, an arc with length 1 intercepts a central angle measuring 1 radian. The length of an arc and area of a sector are directly proportional to the radian measure of the intercepting central angle.
1. Radian measure relates the angle measure to the arc length intercepted by the angle on a circle of radius r. If the arc length is equal to r, the angle measure is 1 radian.
2. To use formulas for arc length and area of a sector, the angle measure must be in radians. The document provides conversions between degrees and radians and examples of using the arc length and area formulas.
3. The key ideas are that radian measure relates the angle to arc length on a circle, and formulas require the angle be in radians rather than degrees. Examples show converting between degrees and radians and using the formulas.
This document discusses angles and trigonometry concepts including:
- Angles in standard position, which have their initial side on the positive x-axis and can have their terminal side in any of the four quadrants.
- Coterminal angles, which share the same terminal side but have different measures, obtained by adding or subtracting multiples of 360°.
- Converting between degrees and radians, where one radian is the central angle subtended by an arc equal in length to the radius, and there are 2π radians in a full circle.
This document discusses trigonometry and angles. It defines angles in degrees and radians, and coterminal angles. Degrees can be divided into minutes and seconds. One radian is defined as the central angle whose arc length equals the radius. Conversions between degrees and radians are provided. Coterminal angles have the same terminal ray but different measures. Examples are given to find coterminal angles of π/4 and 4π/3.
This document provides an overview of important topics in trigonometry, including:
1) How angles are measured in degrees and radians and using the unit circle.
2) Definitions of the six trigonometric ratios (sine, cosine, tangent, cosecant, secant, cotangent) and how they relate the sides of a right triangle to an angle measure.
3) Fundamental trigonometric identities, sum and difference formulas, double and half angle formulas, and the law of sines and cosines.
4) Key features of the graphs of the sine, cosine, and tangent functions.
This document discusses various tools used to measure angles, including protractors, bevel protractors, sine bars, sine centers, angle gauges, and clinometers. Protractors are the simplest tool and can measure angles to the nearest degree using a circular scale. Bevel protractors and vernier protractors can measure angles to the nearest minute using additional vernier scales. Sine bars and centers provide the highest accuracy below 5 minutes. Angle gauges can be combined to measure various preset angles. Clinometers are used to precisely set angular positions.
This document discusses the unit circle and circular functions. It begins by explaining how the unit circle is used to define trigonometric function values and determine the measure of an angle based on its coordinates. It then defines the circular functions in terms of the unit circle and provides examples of evaluating circular function values both numerically and exactly. The document concludes by explaining linear and angular speed for a point rotating along a circle.
This section discusses angles and arcs. It defines angles, their measurement in degrees and radians, and how to convert between the two units. It also defines arc length and how to calculate it given the radius and measure of a central angle in radians. Finally, it discusses the relationships between linear speed, angular speed, radius, and time for objects moving in circular motion.
The document discusses limits and how they are used to calculate the derivative of a function. It defines what it means for a sequence to approach a limit from the right or left side. Graphs and examples are provided to illustrate these concepts. The key rules for calculating limits are outlined, such as using algebra to split limits into their constituent parts. Common types of obvious limits are also stated, such as limits of constants or products involving constants.
The document discusses the concept of limits and clarifies the notation used to describe sequences approaching a number. It explains that saying "x approaches 0 from the right side" means the sequence values only become smaller than 0 after a finite number of terms. Similarly, approaching from the left means only finitely many terms are greater than 0. The direction a sequence approaches a number affects limits like the limit of |x|/x as x approaches 0.
This document discusses two sections, Section 3.1 and Section 3.3, but provides no details about the content or topics covered in either section. The document gives the section numbers and titles but no other informative or descriptive text.
The document describes how to calculate the volume of a solid object using Cavalieri's principle. It involves partitioning the solid into thin cross-sectional slices and approximating the volume of each slice as a cylinder with the slice's cross-sectional area and thickness. The total volume is then approximated as the sum of the cylindrical slice volumes. As the number of slices approaches infinity, this sum approaches the actual volume calculated as the integral of the cross-sectional area function over the solid's distance range.
The document discusses calculating the area of a region R. It introduces using a ruler x to measure the span of R from x=a to x=b. It defines the cross-sectional length L(x) and partitions the interval [a,b] into subintervals. The Riemann sum of the areas of approximating rectangles is shown to approach the actual area of R, defined as the definite integral of L(x) from a to b. As an example, it calculates the area between the curves y=-x^2+2x and y=x^2 by finding the interval spans from 0 to 1 and taking the integral of the difference of the functions.
5.3 areas, riemann sums, and the fundamental theorem of calaculusmath265
The document defines definite integrals and Riemann sums. It states that a definite integral calculates the area under a function between limits a and b by dividing the interval into subintervals and summing the areas of rectangles approximating the function over each subinterval. Riemann sums make this approximation explicit by taking the width of each subinterval times the value of the function at a sample point in the subinterval. In the limit as the subintervals approach zero width, the Riemann sum converges to the true integral value.
The document discusses antiderivatives and integration. It defines an antiderivative as a function whose derivative is the original function. The integral of a function is defined as the set of its antiderivatives. Basic integration rules are provided, such as integrating term-by-term and pulling out constants. Formulas for integrating common functions like exponentials, trigonometric functions, and logarithms are listed. An example problem demonstrates finding the antiderivative of a multi-term function by applying the basic integration rules.
The document summarizes different types of derivatives:
Simple derivatives involve a single input and output. Implicit derivatives are taken for equations with two or more variables, treating one as the independent variable. An example finds derivatives of u with respect to v and v with respect to u for the equation 2u^2 - v^3 = 2 - uv. The derivatives are related by the reciprocal relationship in differential notation.
This document contains 20 math word problems involving rates of change of quantities like distance, area, radius, and volume over time. The problems involve concepts like expanding derivatives, rectangles changing size, cars moving at intersections, distances between moving objects, water filling and draining from tanks, ladders on houses, waves expanding in water, balloons deflating, and water filling triangular troughs. Rates of change are calculated for variables like length, width, area, distance, radius, and volume at specific values over time.
The document contains 10 multi-part exercises involving calculating rates of change, finding maximums and optima, and approximating changes in functions. The exercises involve concepts like linear price-demand functions, surface area and volume relationships for geometric objects, and force functions related to physics concepts like gravity and electric force.
1. The document provides instructions for using calculus concepts like derivatives and integrals to approximate values. It contains 14 problems involving finding derivatives, using derivatives to approximate values, finding volumes with integrals, and using Newton's method to find roots of functions.
2. The final problem asks to use Newton's method in Excel to find the two roots of the function y = ex - 2x - 2 that exist between -3 and 3 to 5 decimal places, and then justify that the approximations are correct.
This document contains 16 multi-part math problems involving optimization of functions, geometry, and physics. The problems cover topics like finding extrema of functions, finding points on lines, maximizing areas of geometric shapes given constraints, minimizing materials needed to construct cylinders and fences, and finding positions of maximum or minimum values of physical quantities like force and illumination.
This document discusses two applications of tangent lines: differentials and linear approximation, and finding the tangent line T(b) at a nearby point b. It explains that the tangent line T(x) at point (a, f(a)) is given by T(x) = f'(a)(x - a) + f(a). The slope f'(a) is identified with the derivative dy/dx. There are two ways to find T(b): directly using T(x), or by finding the differential ΔT = dy and using ΔT + f(a) = T(b).
The document discusses how derivatives can represent rates of change. It states that given a function f(x), the derivative f'(a) is equivalent to the slope of the tangent line at x=a, the instantaneous rate of change of y with respect to x at x=a, and the amount of change in y for a 1 unit change in x at x=a. It then provides an example using a price-demand function for chickens, finding that the maximum revenue of $1152 occurs at a price of $10 per chicken.
1. Graph and analyze the critical points, extrema, inflection points, intervals of increasing/decreasing, and intervals of concave up/down for 10 functions.
2. Review homework on finding derivatives using the definition of the difference quotient and evaluating limits. Find the derivatives of 6 functions.
3. Use implicit differentiation to find the derivative of one function defined implicitly and to find points with tangent lines of slope 1 for another implicit function.
4. Find the second derivatives of two functions.
1) The document provides a tutorial on using formulas in Excel, including how to enter formulas, use relative and absolute cell references, perform calculations on ranges of cells, and sum columns of data.
2) It includes steps to enter sample data, calculate values like x-squared and frequencies multiplied by x and x-squared, and use formulas to automatically calculate those values down a column.
3) The tutorial concludes with instructions to sum the sample data columns, enter the student's name, save the Excel file, and provide a printout.
The document discusses using the second derivative to identify extrema and classify flat points on a graph of y=f(x). It defines terms for the second derivative, explaining that if f''(x)>0, the slope f'(x) is increasing, meaning a downhill point is getting less steep and an uphill point is getting more steep. For a maximum point M, the curve must flatten out with f'(x) approaching 0+ and f'(x) becoming increasingly negative after M, resulting in f''(M)<0.
The document discusses derivatives and graphs. It defines interval notation used to indicate whether points are included or excluded from intervals. It then explains that the derivative of a function f(x) at a point x, f'(x), represents the slope of the tangent line to the graph of f(x) at (x, f(x)). Finally, it notes that points where the derivative is 0 are called critical points, as the tangent line is flat at these points.
The document discusses higher order derivatives. It defines the nth derivative of a function f(x) as f(n)(x). The first example finds the first five derivatives of f(x)=2x^4 - x^3 - 2. The second example finds the first three derivatives of f(x)=-x^2/3. The third example finds the first four derivatives of f(x)=ln(x) and discusses how derivatives of rational functions become more complicated with higher orders. It also provides examples of finding derivatives of other functions like sin(x).
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
20 Comprehensive Checklist of Designing and Developing a WebsitePixlogix Infotech
Dive into the world of Website Designing and Developing with Pixlogix! Looking to create a stunning online presence? Look no further! Our comprehensive checklist covers everything you need to know to craft a website that stands out. From user-friendly design to seamless functionality, we've got you covered. Don't miss out on this invaluable resource! Check out our checklist now at Pixlogix and start your journey towards a captivating online presence today.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
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Introducing Milvus Lite: Easy-to-Install, Easy-to-Use vector database for you...Zilliz
Join us to introduce Milvus Lite, a vector database that can run on notebooks and laptops, share the same API with Milvus, and integrate with every popular GenAI framework. This webinar is perfect for developers seeking easy-to-use, well-integrated vector databases for their GenAI apps.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
4. Angular Measurements
There are two systems used to measure angles.
I. The Degree System
The degree system divides one circular angle into
360 equal angles and each is set to be 1o.
5. Angular Measurements
There are two systems used to measure angles.
I. The Degree System
The degree system divides one circular angle into
360 equal angles and each is set to be 1o.
Extend your arm fully and make a fist as though you
are handing a torch over to some one else, the
vertical visual angle of the fist is about 10o.
6. Angular Measurements
There are two systems used to measure angles.
I. The Degree System
The degree system divides one circular angle into
360 equal angles and each is set to be 1o.
Extend your arm fully and make a fist as though you
are handing a torch over to some one else, the
vertical visual angle of the fist is about 10o.
Rotate your shoulder of the out stretched
arm incrementally to the sky by stacking
the fist on top of the previous one until the
arm is pointing straight up.
It take about nine fists stacked end to end
to make the 90o rotation, so 1fist ≈ 10o.
The clinched fist measured about five
thumb–nail width. Hence 1o is
approximately the visual angle of half of
the thumb–nail width.
Your eye
10o
Your extended fist
7. Angular Measurements
There are two systems used to measure angles.
I. The Degree System
The degree system divides one circular angle into
360 equal angles and each is set to be 1o.
Extend your arm fully and make a fist as though you
are handing a torch over to some one else, the
vertical visual angle of the fist is about 10o.
One degree is divided into 60 minutes, each
minute is denoted as 1'. One minute is divided into
60 seconds, each second is denoted as 1".
8. Angular Measurements
There are two systems used to measure angles.
I. The Degree System
The degree system divides one circular angle into
360 equal angles and each is set to be 1o.
Extend your arm fully and make a fist as though you
are handing a torch over to some one else, the
vertical visual angle of the fist is about 10o.
One degree is divided into 60 minutes, each
minute is denoted as 1'. One minute is divided into
60 seconds, each second is denoted as 1".
The degree system is used mostly in science and
engineering.
9. Angular Measurements
There are two systems used to measure angles.
I. The Degree System
The degree system divides one circular angle into
360 equal angles and each is set to be 1o.
Extend your arm fully and make a fist as though you
are handing a torch over to some one else, the
vertical visual angle of the fist is about 10o.
One degree is divided into 60 minutes, each
minute is denoted as 1'. One minute is divided into
60 seconds, each second is denoted as 1".
The degree system is used mostly in science and
engineering. In mathematics, the radian system is
used because of it's relationship with the geometry
of circles.
11. Radian Measurements
II. The Radian System
dial–length
= r = 1
The unit circle is the circle
centered at (0, 0) with radius 1.
12. Radian Measurements
II. The Radian System
dial–length
= r = 1
The unit circle is the circle
centered at (0, 0) with radius 1.
Angles are formed between a
dial (r =1) and the positive
x-axis as the dial spins.
13. Radian Measurements
II. The Radian System
dial–length
= r = 1
is +
The unit circle is the circle
centered at (0, 0) with radius 1.
Angles are formed between a
dial (r =1) and the positive
x-axis as the dial spins. If the
angle is dialed counter clock–
wisely, it's a positive angle,
14. Radian Measurements
II. The Radian System
dial–length
= r = 1
is +
The unit circle is the circle
centered at (0, 0) with radius 1.
Angles are formed between a
dial (r =1) and the positive
x-axis as the dial spins. If the
angle is dialed counter clock–
wisely, it's a positive angle, if it
is formed clock–wisely, it's
negative.
is –
15. Radian Measurements
II. The Radian System
Arc length as angle
measurement for
dial–length
= r = 1
is +
The unit circle is the circle
centered at (0, 0) with radius 1.
Angles are formed between a
dial (r =1) and the positive
x-axis as the dial spins. If the
angle is dialed counter clock–
wisely, it's a positive angle, if it
is formed clock–wisely, it's
negative.
is –
The radian measurement of an angle is the length
of the arc that the angle cuts out on the unit circle.
16. Radian Measurements
II. The Radian System
Arc length as angle
measurement for
dial–length
= r = 1
is +
The unit circle is the circle
centered at (0, 0) with radius 1.
Angles are formed between a
dial (r =1) and the positive
x-axis as the dial spins. If the
angle is dialed counter clock–
wisely, it's a positive angle, if it
is formed clock–wisely, it's
negative.
is –
The radian measurement of an angle is the length
of the arc that the angle cuts out on the unit circle.
Following formulas convert the measurements
between degree and radian systems
180o = rad 1o = rad = 1 rad 57o
π π 180o 180
π
18. Radian Measurements
Degree system does not work well in mathematics.
Theorem 1. Given a circle of radius r and the angle
in radian measurement as shown,
r
19. Radian Measurements
Degree system does not work well in mathematics.
Theorem 1. Given a circle of radius r and the angle
in radian measurement as shown, then
* (Circular Arc Length) the length of the arc cut out by
the angle is r.
length= r
r
20. Radian Measurements
Degree system does not work well in mathematics.
Theorem 1. Given a circle of radius r and the angle
in radian measurement as shown, then
* (Circular Arc Length) the length of the arc cut out by
the angle is r.
* (Circular Wedge Area) the area of the slice cut out
by the angle is r2/2.
length= r
r
area = r2/2
r
21. Radian Measurements
Degree system does not work well in mathematics.
Theorem 1. Given a circle of radius r and the angle
in radian measurement as shown, then
* (Circular Arc Length) the length of the arc cut out by
the angle is r.
* (Circular Wedge Area) the area of the slice cut out
by the angle is r2/2.
length= r
r
area = r2/2
r
All angular measurements in calculus, including
variables, are assumed to be in radian.
22. Radian Measurements
Example A. Find the crust–length and the area of a
slice of pizza with 12” radius as shown.
12
55o
23. Radian Measurements
Example A. Find the crust–length and the area of a
slice of pizza with 12” radius as shown.
12
55o
Note that if we apply the arc length
formula using 55o directly we get a
ridiculous answer of 660” or 55’ of crust!
24. Radian Measurements
Example A. Find the crust–length and the area of a
slice of pizza with 12” radius as shown.
12
55o
Convert 55o into the radian
measurement.
25. Radian Measurements
Example A. Find the crust–length and the area of a
slice of pizza with 12” radius as shown.
12
55o
Convert 55o into the radian
measurement.
55o = 55 π
rad
180
= 11π
36
26. Radian Measurements
Example A. Find the crust–length and the area of a
slice of pizza with 12” radius as shown.
12
55o
Convert 55o into the radian
measurement.
55o = 55 π
rad
180
= 11π
36
Use the above formulas.
27. Radian Measurements
Example A. Find the crust–length and the area of a
slice of pizza with 12” radius as shown.
12
55o
Convert 55o into the radian
measurement.
55o = 55 π
rad
180
= 11π
36
Use the above formulas.
The crust length is r
28. Radian Measurements
Example A. Find the crust–length and the area of a
slice of pizza with 12” radius as shown.
12
55o
Convert 55o into the radian
measurement.
55o = 55 π
rad
180
= 11π
36
Use the above formulas.
The crust length is r
11π
36
(12)
29. Radian Measurements
Example A. Find the crust–length and the area of a
slice of pizza with 12” radius as shown.
12
55o
Convert 55o into the radian
measurement.
55o = 55 π
rad
180
= 11π
36
Use the above formulas.
The crust length is r
11π
36
(12) =
11π
3
≈ 11.5 inch.
30. Radian Measurements
Example A. Find the crust–length and the area of a
slice of pizza with 12” radius as shown.
12
55o
Convert 55o into the radian
measurement.
55o = 55 π
rad
180
= 11π
36
Use the above formulas.
The crust length is r
11π
36
(12) =
11π
3
≈ 11.5 inch.
The area of the slice is r2/2
31. Radian Measurements
Example A. Find the crust–length and the area of a
slice of pizza with 12” radius as shown.
12
55o
Convert 55o into the radian
measurement.
55o = 55 π
rad
180
= 11π
36
Use the above formulas.
The crust length is r
11π
36
(12) =
11π
3
The area of the slice is r2/2
11π
36
(12)2 (1/2)
≈ 11.5 inch.
32. Radian Measurements
Example A. Find the crust–length and the area of a
slice of pizza with 12” radius as shown.
12
55o
Convert 55o into the radian
measurement.
55o = 55 π
rad
180
= 11π
36
Use the above formulas.
The crust length is r
11π
36
(12) =
11π
3
≈ 11.5
The area of the slice is r2/2
11π
36
(12)2 (1/2)
inch.
= 22π = 69.1 inch2.
33. Definition of Trigonometric Functions
Angles placed in the unit circle
in the above manner are said
to be in the standard position.
34. Definition of Trigonometric Functions
Angles placed in the unit circle
in the above manner are said
to be in the standard position.
There are infinitely many ’s
that dial to the same position
so the tip of the dial has the
same coordinates.
35. Definition of Trigonometric Functions
Angles placed in the unit circle
in the above manner are said
to be in the standard position.
There are infinitely many ’s
that dial to the same position
so the tip of the dial has the
same coordinates.
For example, the angles π/3 and –5π/3 give the
same dial–tip position ( ½, 3 /2).
36. Definition of Trigonometric Functions
Angles placed in the unit circle
in the above manner are said
to be in the standard position.
There are infinitely many ’s
that dial to the same position
so the tip of the dial has the
same coordinates.
( ½, 3 /2)
π/3
For example, the angles π/3 and –5π/3 give the
same dial–tip position ( ½, 3 /2).
37. Definition of Trigonometric Functions
Angles placed in the unit circle
in the above manner are said
to be in the standard position.
There are infinitely many ’s
that dial to the same position
so the tip of the dial has the
same coordinates.
( ½, 3 /2)
π/3
–5π/3
For example, the angles π/3 and –5π/3 give the
same dial–tip position ( ½, 3 /2).
38. Definition of Trigonometric Functions
Angles placed in the unit circle
in the above manner are said
to be in the standard position.
There are infinitely many ’s
that dial to the same position
so the tip of the dial has the
same coordinates.
( ½, 3 /2)
π/3
–5π/3
For example, the angles π/3 and –5π/3 give the
same dial–tip position ( ½, 3 /2).
Specifically, the coordinate (x, y) of the dial–tip on
the unit circle is the same for all angles ±2nπ
where n = 0, 1, 2, ..
39. Definition of Trigonometric Functions
Angles placed in the unit circle
in the above manner are said
to be in the standard position.
There are infinitely many ’s
that dial to the same position
so the tip of the dial has the
same coordinates.
( ½, 3 /2)
π/3
–5π/3
For example, the angles π/3 and –5π/3 give the
same dial–tip position ( ½, 3 /2).
Specifically, the coordinate (x, y) of the dial–tip on
the unit circle is the same for all angles ±2nπ
where n = 0, 1, 2, .. Following are the definitions of
the basic trig–functions and their geometric
significances.
40. Definition of Trigonometric Functions
Given an angle in
the standard position,
(x , y)
let (x , y) be the
coordinate of the tip
(1,0)
of the dial on the unit
(± 2nπ)
circle.
41. Definition of Trigonometric Functions
Given an angle in
the standard position,
let (x , y) be the
coordinate of the tip
of the dial on the unit
circle. We define
cos() = x sin() = y
tan() = cot() =
y
x
(± 2nπ)
(x , y)
x
y
(1,0)
42. Definition of Trigonometric Functions
Given an angle in
the standard position,
let (x , y) be the
coordinate of the tip
of the dial on the unit
circle. We define
cos() = x sin() = y
tan() = cot() =
y
x
(1,0)
(x , y)
(± 2nπ) x=cos()
x
y
43. Definition of Trigonometric Functions
Given an angle in
the standard position,
let (x , y) be the
coordinate of the tip
of the dial on the unit
circle. We define
cos() = x sin() = y
tan() = cot() =
y
x
(1,0)
(x , y)
(± 2nπ) x=cos()
x
y
44. Definition of Trigonometric Functions
Given an angle in
the standard position,
let (x , y) be the
coordinate of the tip
of the dial on the unit
circle. We define
cos() = x sin() = y
tan() = cot() =
y
x
(1,0)
(x , y)
(± 2nπ) x=cos()
* tan() is the slope of the dial.
x
y
45. Definition of Trigonometric Functions
Given an angle in
the standard position,
let (x , y) be the
coordinate of the tip
of the dial on the unit
circle. We define
cos() = x sin() = y
tan() = cot() =
y
x
tan()
(1,0)
(x , y)
(± 2nπ) x=cos()
x
y
* tan() is the slope of the dial. It is called “tangent”
because tan() is the “length” of the tangent line x = 1,
from (1, 0) to the extended dial as shown.
46. Definition of Trigonometric Functions
Given an angle in
the standard position,
let (x , y) be the
coordinate of the tip
of the dial on the unit
circle. We define
cos() = x sin() = y
tan() = cot() =
y
x
tan()
(1,0)
cot()
(x , y)
(± 2nπ) x=cos()
x
y
* tan() is the slope of the dial. It is called “tangent”
because tan() is the “length” of the tangent line x = 1,
from (1, 0) to the extended dial as shown. Cot() is
defined similarly using the horizontal tangent y = 1.
47. Definition of Trigonometric Functions
Given an angle in
the standard position,
let (x , y) be the
coordinate of the tip
of the dial on the unit
circle. We define
cos() = x sin() = y
tan() = cot() =
y
x
tan()
(1,0)
cot()
(x , y)
(± 2nπ) x=cos()
x
y
* tan() is the slope of the dial. It is called “tangent”
because tan() is the “length” of the tangent line x = 1,
from (1, 0) to the extended dial as shown. Cot() is
defined similarly using the horizontal tangent y = 1.
* sin(–) = –sin() cos(–) = cos()
48. Angular Measurements
The important positions on this unit circle, the ones
that we may extract with the 30–60 and 45–45 right
triangle templates are shown below.
1
1/2
√3/2 ≈ 0.85
1
√2/2
√2/2 ≈ 0.70
π /6
π /3
π /4
π /4
49. Analytic Trigonometry
Trig–values are extracted from the unit circle so they
satisfy many algebraic relations inherited from the
equation x2 + y2 = 1 of the unit circle.
50. Analytic Trigonometry
Trig–values are extracted from the unit circle so they
satisfy many algebraic relations inherited from the
equation x2 + y2 = 1 of the unit circle. With a given
angle , replace x = cos(), y = sin(), we have the
trig–identity cos2() + sin2() = 1
51. Analytic Trigonometry
Trig–values are extracted from the unit circle so they
satisfy many algebraic relations inherited from the
equation x2 + y2 = 1 of the unit circle. With a given
angle , replace x = cos(), y = sin(), we have the
trig–identity cos2() + sin2() = 1
Just as the equation x2 + y2 = 1
may be written in multiple forms such as
1 + y2/x2 = 1/x2 or x2/y2 + 1= 1/y2
52. Analytic Trigonometry
Trig–values are extracted from the unit circle so they
satisfy many algebraic relations inherited from the
equation x2 + y2 = 1 of the unit circle. With a given
angle , replace x = cos(), y = sin(), we have the
trig–identity cos2() + sin2() = 1
Just as the equation x2 + y2 = 1
may be written in multiple forms such as
1 + y2/x2 = 1/x2 or x2/y2 + 1= 1/y2
we have correspondingly three forms of square–
sum–identities.
53. Analytic Trigonometry
Trig–values are extracted from the unit circle so they
satisfy many algebraic relations inherited from the
equation x2 + y2 = 1 of the unit circle. With a given
angle , replace x = cos(), y = sin(), we have the
trig–identity cos2() + sin2() = 1
Just as the equation x2 + y2 = 1
may be written in multiple forms such as
1 + y2/x2 = 1/x2 or x2/y2 + 1= 1/y2
we have correspondingly three forms of square–
sum–identities.
These square–sum formulas, the reciprocal and
divisional relations, are summarized by the Trig–
Wheel given below and these identities are called
the basic–trig–identities.
56. Analytic Trigonometry
The Division and
Reciprocal Relations
Start from any function,
go around the rim, then
I = II / III or I * III = II
The Trig-Wheel
57. Analytic Trigonometry
The Division and
Reciprocal Relations
Start from any function,
go around the rim, then
I = II / III or I * III = II
The Trig-Wheel
I
II III
58. Analytic Trigonometry
The Division and
Reciprocal Relations
Start from any function,
go around the rim, then
I = II / III or I * III = II
The Trig-Wheel
I
II III
Following are some important divisional relations.
tan(A) = sin(A)/cos(A)
59. Analytic Trigonometry
The Division and
Reciprocal Relations
Start from any function,
go around the rim, then
I = II / III or I * III = II
The Trig-Wheel
I
II III
Following are some important divisional relations.
tan(A) = sin(A)/cos(A) cot(A) = cos(A)/sin(A)
60. Analytic Trigonometry
The Division and
Reciprocal Relations
Start from any function,
go around the rim, then
I = II / III or I * III = II
The Trig-Wheel
I
II III
or go straight through the
center then I = 1 / III, i.e.
two formulas on opposite
ends are reciprocals.
Following are some important divisional relations.
tan(A) = sin(A)/cos(A) cot(A) = cos(A)/sin(A)
61. Analytic Trigonometry
The Division and
Reciprocal Relations
Start from any function,
go around the rim, then
I = II / III or I * III = II
The Trig-Wheel
I
II III
or go straight through the
center then I = 1 / III, i.e.
two formulas on opposite
ends are reciprocals.
Following are some important divisional relations.
tan(A) = sin(A)/cos(A) cot(A) = cos(A)/sin(A)
csc(A) = 1/sin(A) sec(A) = 1/cos(A)
cot(A) = 1/tan(A)
62. Analytic Trigonometry
The Trig-Wheel Square-Sum Relations
For each of the three inverted
triangles in the wheel, the
sum of the squares of the top
two functions is the square of
the bottom function.
63. Analytic Trigonometry
The Trig-Wheel Square-Sum Relations
For each of the three inverted
triangles in the wheel, the
sum of the squares of the top
two functions is the square of
the bottom function.
sin2(A) + cos2(A)=1
tan2(A) + 1 = sec2(A)
1 + cot2(A) = csc2(A)
64. Analytic Trigonometry
The Trig-Wheel Square-Sum Relations
For each of the three inverted
triangles in the wheel, the
sum of the squares of the top
two functions is the square of
the bottom function.
sin2(A) + cos2(A)=1
tan2(A) + 1 = sec2(A)
1 + cot2(A) = csc2(A)
Sum & Difference of Angle Formulas
Let A and B be angles then
C(A±B) = C(A)C(B) + – S(A)S(B)
S(A±B) = S(A)C(B) ± S(B)C(A)
where S(x) = sin(x) and C(x) = cos(x).
65. Analytic Trigonometry
The following are consequences of the sum and
difference formulas.
Double-Angle Formulas
S(2A) = 2S(A)C(A)
C(2A) = C2(A) – S2(A)
= 2C2(A) – 1
= 1 – 2S2(A)
Half-Angle Formulas
1 + C(B)
2
B
2
C( ) =
±
1 – C(B)
2
B
2
S( ) = ±
From the C(2A) formulas we have the following.
S2(A) =
1 – C(2A)
2
C2(A) = 1 + C(2A)
2
HW. Derive all the formulas on this page from the
Sum and Difference Formula.