PARA LOS ALUMNOS DE CIENCIAS E INGENIERIA LES DEJO UN PEQUEÑO EJERCICIO RELACIONADO AL TEMA DE ANALISIS DIMENCIONAL, EN EL CUAL APLICAMOS CONCEPTOS DE MATEMATICAS Y FISICA ESPERO LES SIRVA.
SALUDOS.
ATTE: ELMER LUIS KAPA CHOQUE
The document discusses key concepts related to calculus including:
- The definition of a derivative as the instantaneous rate of change of a function, obtained by taking the limit of the average rate of change as the change in x approaches 0.
- Techniques for finding derivatives including differentiation rules for basic functions.
- Relationship between a function's derivative and whether it is increasing or decreasing over an interval.
- Concepts of local/global extrema and how to analyze a function's critical points and inflection points.
- Using optimization techniques like taking derivatives to find maximum/minimum values of expressions subject to constraints.
This document discusses regression analysis. It defines regression as estimating the relationship between a dependent variable and one or more independent variables. Regression finds the "line of best fit" or "least squares line" that minimizes the distance between the observed data points and the regression line. The document provides examples of using the regression equation to estimate values of the dependent variable given values of the independent variable, and vice versa. It also discusses key concepts like the scatter diagram, regressand/regressor, and how to calculate the slope and y-intercept of the regression line.
This document defines and explains the properties of a contraction mapping. It states that a contraction mapping T on a complete metric space (X,d) satisfies d(T(x),T(y)) ≤ λd(x,y) for some 0 ≤ λ < 1. This ensures T has a unique fixed point x* where T(x*)=x*. The document proves convergence to the fixed point by showing the distance between successive terms xn+1=T(xn) goes to 0 as n goes to infinity. It also proves uniqueness of the fixed point by showing any other possible fixed point y* must equal x*.
This document defines the properties of the space Rn with vector addition and scalar multiplication. It shows that:
1) Vector addition is associative and commutative.
2) The zero vector (0,0,0) acts as the additive identity.
3) Scalar multiplication is distributive over vector addition and associative.
4) The scalar 1 acts as the multiplicative identity.
Together, these operations satisfy the properties for Rn to be a real vector space. The document provides proofs for each property.
1. The document demonstrates that the set of matrices M(m,n) forms a vector space. It checks various properties including:
2. Closure under addition: The sum of two m x n matrices results in another m x n matrix.
3. Associativity and commutativity of addition hold for matrix addition similarly to real number addition.
4. Closure under scalar multiplication: Scalar multiplication of a matrix results in another matrix of the same size, with the scalar multiplied to each element.
This document provides an introduction to vectors, including:
- Vectors have both magnitude and direction, unlike scalars which only have magnitude.
- Vectors can be added and subtracted graphically by drawing them to scale and combining the tips and tails.
- The parallelogram method can be used to add vectors at any angle by forming a parallelogram.
- Vectors can also be broken into rectangular components and added or subtracted using their x and y components rather than graphically.
Regression is used to predict or estimate the value of a dependent variable based on the value of an independent variable. It involves plotting paired values of the independent and dependent variables on a scatter diagram to determine the relationship between them. The least squares line is an objective method for determining the line of best fit through the data points by minimizing the sum of the squares of the vertical distances of the points from the line. Examples are provided to demonstrate calculating the regression equations and using them to estimate values.
1) Work is defined as the product of the force applied and the distance moved in the direction of the force. Work can cause a change in energy but the total energy in a system remains constant.
2) There are four types of work depending on whether the force and/or distance is constant or variable. Work by a conservative force depends only on the start and end points and not the path taken.
3) Kinetic energy is the energy of motion while potential energy is stored energy due to an object's position or state. Mechanical energy is the sum of an object's kinetic and potential energies.
The document discusses key concepts related to calculus including:
- The definition of a derivative as the instantaneous rate of change of a function, obtained by taking the limit of the average rate of change as the change in x approaches 0.
- Techniques for finding derivatives including differentiation rules for basic functions.
- Relationship between a function's derivative and whether it is increasing or decreasing over an interval.
- Concepts of local/global extrema and how to analyze a function's critical points and inflection points.
- Using optimization techniques like taking derivatives to find maximum/minimum values of expressions subject to constraints.
This document discusses regression analysis. It defines regression as estimating the relationship between a dependent variable and one or more independent variables. Regression finds the "line of best fit" or "least squares line" that minimizes the distance between the observed data points and the regression line. The document provides examples of using the regression equation to estimate values of the dependent variable given values of the independent variable, and vice versa. It also discusses key concepts like the scatter diagram, regressand/regressor, and how to calculate the slope and y-intercept of the regression line.
This document defines and explains the properties of a contraction mapping. It states that a contraction mapping T on a complete metric space (X,d) satisfies d(T(x),T(y)) ≤ λd(x,y) for some 0 ≤ λ < 1. This ensures T has a unique fixed point x* where T(x*)=x*. The document proves convergence to the fixed point by showing the distance between successive terms xn+1=T(xn) goes to 0 as n goes to infinity. It also proves uniqueness of the fixed point by showing any other possible fixed point y* must equal x*.
This document defines the properties of the space Rn with vector addition and scalar multiplication. It shows that:
1) Vector addition is associative and commutative.
2) The zero vector (0,0,0) acts as the additive identity.
3) Scalar multiplication is distributive over vector addition and associative.
4) The scalar 1 acts as the multiplicative identity.
Together, these operations satisfy the properties for Rn to be a real vector space. The document provides proofs for each property.
1. The document demonstrates that the set of matrices M(m,n) forms a vector space. It checks various properties including:
2. Closure under addition: The sum of two m x n matrices results in another m x n matrix.
3. Associativity and commutativity of addition hold for matrix addition similarly to real number addition.
4. Closure under scalar multiplication: Scalar multiplication of a matrix results in another matrix of the same size, with the scalar multiplied to each element.
This document provides an introduction to vectors, including:
- Vectors have both magnitude and direction, unlike scalars which only have magnitude.
- Vectors can be added and subtracted graphically by drawing them to scale and combining the tips and tails.
- The parallelogram method can be used to add vectors at any angle by forming a parallelogram.
- Vectors can also be broken into rectangular components and added or subtracted using their x and y components rather than graphically.
Regression is used to predict or estimate the value of a dependent variable based on the value of an independent variable. It involves plotting paired values of the independent and dependent variables on a scatter diagram to determine the relationship between them. The least squares line is an objective method for determining the line of best fit through the data points by minimizing the sum of the squares of the vertical distances of the points from the line. Examples are provided to demonstrate calculating the regression equations and using them to estimate values.
1) Work is defined as the product of the force applied and the distance moved in the direction of the force. Work can cause a change in energy but the total energy in a system remains constant.
2) There are four types of work depending on whether the force and/or distance is constant or variable. Work by a conservative force depends only on the start and end points and not the path taken.
3) Kinetic energy is the energy of motion while potential energy is stored energy due to an object's position or state. Mechanical energy is the sum of an object's kinetic and potential energies.
The document provides examples for calculating the Pearson Product Moment Correlation Coefficient (r) from bivariate data. It defines r as a measure of the strength of the linear relationship between two variables. Several fully worked examples are shown calculating r from tables of paired data and interpreting the resulting r value based on established thresholds for strength of correlation. Formulas and steps for calculating r are demonstrated throughout.
A derivation of the Schwarzchild solution is presented with all relevant information. I have used this slides to teach Schwarzchild solution at my youtube channel. Here is the link
https://www.youtube.com/watch?v=ixhgvnGQZHM&t=1635s
This document provides an overview and introduction to Physics 101. It outlines the course format, grading scale, lectures, homework, labs, and discussions. Key concepts that will be covered include forces, kinematics, energy, momentum, and thermodynamics. Newton's laws of motion are introduced, including inertia and the relationship between force and mass acceleration. The document also discusses the forces of gravity, friction, and normal contact forces, and how to draw free body diagrams.
this is presentation on " skewed plate problem " which is related to advanced mechanic of material of subject.here explain about principle,method and approximation function with also steps wise for solving problem in Ritz method and discuss about the skewed plate problem. included conclusion and references.
This document discusses representing and adding vector quantities graphically. It begins by explaining that a vector quantity is represented graphically as a straight line with an arrow, where the length of the line is proportional to the magnitude and the arrow points in the direction. It then discusses different ways of writing the direction of a vector, such as using compass points or relative to vertical/horizontal. The document provides examples of drawing vectors to scale based on their definitions. It also covers adding vectors, including adding parallel, anti-parallel, and neither parallel nor anti-parallel vectors using graphical scale drawings or mathematical calculations. The key methods of adding vectors - head to tail and parallelogram methods - are also introduced.
The Pearson Product Moment Correlation Coefficient (r) measures the strength of the linear relationship between two variables. The r value is calculated using a formula involving the sum of the products of paired values and sum of squares for the two variables. r values range from +1 to -1, with values closer to these extremes indicating a stronger correlation and values closer to 0 indicating weaker or no correlation. A positive r represents a positive correlation and a negative r represents a negative correlation. The example calculates r = 0.962 for time spent studying and test scores, indicating a strong positive correlation.
Thermal Stress in a Half-Space with Mixed Boundary Conditions due to Time Dep...iosrjce
The document discusses a mixed boundary value problem for thermal stress in a half-space material. The surface is heated by a time-dependent heat source, producing temperature changes and resulting thermal stresses. The boundary is partially stress-free and partially has vanishing stress gradient. The solution obtains the thermal stress in closed form using the Wiener-Hopf technique to solve the heat conduction and stress equations subject to the initial and boundary conditions.
The document discusses connecting best approximation theory to least squares approximation through a motivating example involving weighing fiddler crabs submerged in saline over time. It explores using least squares to fit a line or curve of best fit to the crab weight data. The document then provides mathematical proofs showing that the orthogonal projection of a vector onto a subspace is the best approximation within that subspace, and that the least squares solution minimizes the residual vector.
Integrales definidas y método de integración por partescrysmari mujica
The document discusses integrals and defined integrals. It defines integrals as the area under a curve and describes how integrals and derivatives are related. It also discusses integration by parts, giving the formula and examples of its application. Finally, it defines a definite integral as the area between a function's graph, the x-axis, and the boundaries x=a and x=b.
This document discusses solving vector problems in two dimensions. It explains that most problems will involve adding two non-collinear vectors to form a right triangle, which can then be solved using trigonometry. Several example problems are provided to demonstrate breaking vectors into components, adding vectors head-to-tail, and using trigonometry to solve for lengths and angles. The key steps are to carefully draw vector diagrams, break vectors into x and y components if needed, then use trigonometric functions like SOH CAH TOA to solve for unknown values.
The document discusses measurement uncertainty and how to report measured values and calculations with uncertainties. It provides examples of how to calculate the uncertainty when adding, subtracting, multiplying, dividing and raising quantities to a power. It also includes exercises for reporting a measured value, calculating lengths, times, speeds and falling times while accounting for measurement uncertainties.
The study is concerned with a different perspective which the numerical solution of the singularly
perturbed nonlinear boundary value problem with integral boundary condition using finite difference method on
Bakhvalov mesh. So, we show some properties of the exact solution. We establish uniformly convergent finite
difference scheme on Bakhvalov mesh. The error analysis for the difference scheme is performed. The numerical
experiment implies that the method is the first order convergent in the discrete maximum norm, independently of
휀- singular perturbation parameter with effective and efficient iterative algorithm. The numerical results are
shown in table and graphs.
The document describes a vertical spring-mass system that undergoes simple harmonic motion when displaced from its equilibrium position and released. When the spring is stretched by 20 cm, the net force needed in the downward direction is 1.58 N. Simple harmonic motion occurs because the net force on the mass is directly proportional to the displacement, following Hooke's law, where the force is the negative of the spring constant multiplied by the displacement.
This document discusses concurrent force systems and provides examples of calculating the magnitude and direction of the resultant force for two concurrent force systems. A concurrent force system is one where the lines of action of the individual forces pass through a common point. The document solves two example problems, showing the steps to take the algebraic sum of the horizontal and vertical force components and use those sums to calculate the magnitude and direction of the resultant force using trigonometric functions.
This document summarizes key concepts in machine learning linear regression including:
1) Expressing the hypothesis for multiple features using a multivariate linear function.
2) Applying gradient descent to minimize the cost function for multivariate linear regression.
3) The importance of feature scaling to ensure features are on a similar scale.
4) Debugging techniques such as evaluating multiple learning rates to address issues with gradient descent convergence.
5) Polynomial regression which models the dependent variable as a polynomial function of independent variables.
6) The normal equation approach for analytically solving for the optimal parameter values without iteration.
This document discusses vector spaces and subspaces. It provides examples of analyzing whether sets of vectors form subspaces. It examines the dimension of subspaces generated by given vectors. Finally, it presents exercises involving finding the dimension of subspaces, determining if sets of vectors are bases, and expressing vectors in different bases.
The document discusses using linearization to approximate the variance of new random variables that are functions of existing random variables. It provides examples of applying the formula to approximate the variance of Y when Y is defined as a function of one or two random variables X1 and X2. The formula for one random variable X is σY^2 ≈ f'(μ)^2 σX^2, and for two random variables X1 and X2 it is σY^2 ≈ (∂X1)^2 σ1^2 + (∂X2)^2 σ2^2 + 2(∂X1)(∂X2)σ12, where the partial derivatives are evaluated at the means. Several
The Gauss-Elemination method is used to solve systems of linear equations by reducing the system to upper triangular form using elementary row operations. It works by first making the coefficients of the variables above the main diagonal equal to zero one by one, then back-substituting the solutions. The method is illustrated using a 3x3 system that is reduced to upper triangular form by subtracting appropriate multiples of rows from each other. The unique solution can then be found by back-substituting the values of z, y, and x.
The document provides examples for calculating the Pearson Product Moment Correlation Coefficient (r) from bivariate data. It defines r as a measure of the strength of the linear relationship between two variables. Several fully worked examples are shown calculating r from tables of paired data and interpreting the resulting r value based on established thresholds for strength of correlation. Formulas and steps for calculating r are demonstrated throughout.
A derivation of the Schwarzchild solution is presented with all relevant information. I have used this slides to teach Schwarzchild solution at my youtube channel. Here is the link
https://www.youtube.com/watch?v=ixhgvnGQZHM&t=1635s
This document provides an overview and introduction to Physics 101. It outlines the course format, grading scale, lectures, homework, labs, and discussions. Key concepts that will be covered include forces, kinematics, energy, momentum, and thermodynamics. Newton's laws of motion are introduced, including inertia and the relationship between force and mass acceleration. The document also discusses the forces of gravity, friction, and normal contact forces, and how to draw free body diagrams.
this is presentation on " skewed plate problem " which is related to advanced mechanic of material of subject.here explain about principle,method and approximation function with also steps wise for solving problem in Ritz method and discuss about the skewed plate problem. included conclusion and references.
This document discusses representing and adding vector quantities graphically. It begins by explaining that a vector quantity is represented graphically as a straight line with an arrow, where the length of the line is proportional to the magnitude and the arrow points in the direction. It then discusses different ways of writing the direction of a vector, such as using compass points or relative to vertical/horizontal. The document provides examples of drawing vectors to scale based on their definitions. It also covers adding vectors, including adding parallel, anti-parallel, and neither parallel nor anti-parallel vectors using graphical scale drawings or mathematical calculations. The key methods of adding vectors - head to tail and parallelogram methods - are also introduced.
The Pearson Product Moment Correlation Coefficient (r) measures the strength of the linear relationship between two variables. The r value is calculated using a formula involving the sum of the products of paired values and sum of squares for the two variables. r values range from +1 to -1, with values closer to these extremes indicating a stronger correlation and values closer to 0 indicating weaker or no correlation. A positive r represents a positive correlation and a negative r represents a negative correlation. The example calculates r = 0.962 for time spent studying and test scores, indicating a strong positive correlation.
Thermal Stress in a Half-Space with Mixed Boundary Conditions due to Time Dep...iosrjce
The document discusses a mixed boundary value problem for thermal stress in a half-space material. The surface is heated by a time-dependent heat source, producing temperature changes and resulting thermal stresses. The boundary is partially stress-free and partially has vanishing stress gradient. The solution obtains the thermal stress in closed form using the Wiener-Hopf technique to solve the heat conduction and stress equations subject to the initial and boundary conditions.
The document discusses connecting best approximation theory to least squares approximation through a motivating example involving weighing fiddler crabs submerged in saline over time. It explores using least squares to fit a line or curve of best fit to the crab weight data. The document then provides mathematical proofs showing that the orthogonal projection of a vector onto a subspace is the best approximation within that subspace, and that the least squares solution minimizes the residual vector.
Integrales definidas y método de integración por partescrysmari mujica
The document discusses integrals and defined integrals. It defines integrals as the area under a curve and describes how integrals and derivatives are related. It also discusses integration by parts, giving the formula and examples of its application. Finally, it defines a definite integral as the area between a function's graph, the x-axis, and the boundaries x=a and x=b.
This document discusses solving vector problems in two dimensions. It explains that most problems will involve adding two non-collinear vectors to form a right triangle, which can then be solved using trigonometry. Several example problems are provided to demonstrate breaking vectors into components, adding vectors head-to-tail, and using trigonometry to solve for lengths and angles. The key steps are to carefully draw vector diagrams, break vectors into x and y components if needed, then use trigonometric functions like SOH CAH TOA to solve for unknown values.
The document discusses measurement uncertainty and how to report measured values and calculations with uncertainties. It provides examples of how to calculate the uncertainty when adding, subtracting, multiplying, dividing and raising quantities to a power. It also includes exercises for reporting a measured value, calculating lengths, times, speeds and falling times while accounting for measurement uncertainties.
The study is concerned with a different perspective which the numerical solution of the singularly
perturbed nonlinear boundary value problem with integral boundary condition using finite difference method on
Bakhvalov mesh. So, we show some properties of the exact solution. We establish uniformly convergent finite
difference scheme on Bakhvalov mesh. The error analysis for the difference scheme is performed. The numerical
experiment implies that the method is the first order convergent in the discrete maximum norm, independently of
휀- singular perturbation parameter with effective and efficient iterative algorithm. The numerical results are
shown in table and graphs.
The document describes a vertical spring-mass system that undergoes simple harmonic motion when displaced from its equilibrium position and released. When the spring is stretched by 20 cm, the net force needed in the downward direction is 1.58 N. Simple harmonic motion occurs because the net force on the mass is directly proportional to the displacement, following Hooke's law, where the force is the negative of the spring constant multiplied by the displacement.
This document discusses concurrent force systems and provides examples of calculating the magnitude and direction of the resultant force for two concurrent force systems. A concurrent force system is one where the lines of action of the individual forces pass through a common point. The document solves two example problems, showing the steps to take the algebraic sum of the horizontal and vertical force components and use those sums to calculate the magnitude and direction of the resultant force using trigonometric functions.
This document summarizes key concepts in machine learning linear regression including:
1) Expressing the hypothesis for multiple features using a multivariate linear function.
2) Applying gradient descent to minimize the cost function for multivariate linear regression.
3) The importance of feature scaling to ensure features are on a similar scale.
4) Debugging techniques such as evaluating multiple learning rates to address issues with gradient descent convergence.
5) Polynomial regression which models the dependent variable as a polynomial function of independent variables.
6) The normal equation approach for analytically solving for the optimal parameter values without iteration.
This document discusses vector spaces and subspaces. It provides examples of analyzing whether sets of vectors form subspaces. It examines the dimension of subspaces generated by given vectors. Finally, it presents exercises involving finding the dimension of subspaces, determining if sets of vectors are bases, and expressing vectors in different bases.
The document discusses using linearization to approximate the variance of new random variables that are functions of existing random variables. It provides examples of applying the formula to approximate the variance of Y when Y is defined as a function of one or two random variables X1 and X2. The formula for one random variable X is σY^2 ≈ f'(μ)^2 σX^2, and for two random variables X1 and X2 it is σY^2 ≈ (∂X1)^2 σ1^2 + (∂X2)^2 σ2^2 + 2(∂X1)(∂X2)σ12, where the partial derivatives are evaluated at the means. Several
The Gauss-Elemination method is used to solve systems of linear equations by reducing the system to upper triangular form using elementary row operations. It works by first making the coefficients of the variables above the main diagonal equal to zero one by one, then back-substituting the solutions. The method is illustrated using a 3x3 system that is reduced to upper triangular form by subtracting appropriate multiples of rows from each other. The unique solution can then be found by back-substituting the values of z, y, and x.
1. Cambio de dimensiones. Las longitudes a, b y c de las aristas de un una caja rectangular cambian con el tiempo. En un instante en cuestión, a=1 m, b=2 m, c=3 m, da/dt=db/dt = 1 m/s, y dc/dt= -3 m/s
¿Qué valores tienen las tasas de cambio instantáneas del volumen V y del área S en ese instante? ¿La longitud de las diagonales internas de la caja crece o decrece?
1. The document describes two coupled oscillator problems. The first problem derives expressions for the normal mode frequencies of two masses connected by a string. The second problem finds the normal mode frequencies and displacement ratios of two masses connected by springs and an elastic band.
2. The second problem is about a system of two masses with different springs coupled by an elastic band. The normal mode frequencies are derived as square roots of ratios involving the spring and mass constants. The displacement ratios between the masses are found to be 1 for one mode and -2 for the other mode.
3. The third problem considers two identical coupled spring-mass systems. An expression is derived for the number of oscillations of one mass before its oscillations die down
This document provides an example of solving a second-order ordinary differential equation using the method of variation of parameters. It begins by introducing the methods of variation of parameters and Euler-Cauchy for solving higher order ODEs. It then presents an example problem of finding the general solution to the differential equation 2y'' + 6tan(3t)y' + 9tan(3t)y = 18cos(3t). The complementary solution and particular solution are found using variation of parameters. Finally, the general solution is presented.
Here are the steps to solve the quadratic equations given in the seatwork:
1) x2 = 64
Take the square root of both sides:
x = ±8
2) 3x2 = 108
Take the square root of both sides:
x = ±6
3) x2 - 6 = 0
Factor: (x + 3)(x - 2) = 0
x = -3, 2
4) x2 - 21 = 0
Take the square root of both sides:
x = ±√21
5) m2 + 16m = 4
Complete the square: (m + 8)2 = 16
Take the square root of both sides:
The document discusses properties of vector products. It defines the vector product of two vectors a and b as a × b and lists some of its key properties: a × b is perpendicular to both a and b; a × b · a = 0 and a × b · b = 0. It also discusses using the vector product to find a line perpendicular to two given lines and defines the vector product in terms of its Cartesian components.
This document contains information about a structural engineering assignment on dynamic systems. It includes questions about determining the natural frequency of a spring-mass system attached to a simply supported beam, analyzing the motion of two masses connected by a spring after one mass falls and impacts the other, and deriving equations to describe the displacement response of a damped single-degree-of-freedom system for different damping ratios. Solutions are provided that use concepts of structural rigidity, natural frequency, kinetic energy, and damping to analyze the dynamic behavior of the systems.
This document discusses finding the eigenvalues and eigenfunctions of a spin-1/2 particle pointing along an arbitrary direction. It shows that the eigenvalue equation reduces to a set of two linear, homogeneous equations. The eigenvalues are found to be ±1/2, and the corresponding eigenvectors are written in terms of the direction angles θ and Φ. As an example, it shows that for a spin oriented along the z-axis, the eigenvectors reduce to simple forms as expected for a spin-1/2 particle. It also introduces the Gauss elimination method for numerically solving systems of linear equations that arise in eigenvalue problems.
This document contains 5 problems related to motion under central forces. Problem 1 involves a particle inside a rotating tube and derives an expression for the distance of the particle over time. Problem 2 finds the law of force for a curve defined by r^n = a^n cos(nθ). Problem 3 finds the law of force for circular motion. Problem 4 finds the law of force, velocity, and period for elliptical motion under a central force directed toward the focus. Problem 5 shows that motion under a central force where velocity equals circular motion at the same distance results in an inverse cube law of force and an equiangular spiral path.
This document contains 5 problems related to motion under central forces. Problem 1 involves a particle inside a rotating tube and derives an expression for the distance of the particle over time. Problem 2 finds the law of force for a curve defined by r^n = a^n cos(nθ). Problem 3 finds the law of force for circular motion. Problem 4 finds the law of force, velocity, and period for elliptical motion under a central force directed toward the focus. Problem 5 shows that motion under a central force where velocity equals circular motion at the same distance results in an inverse cube law of force and an equiangular spiral path.
SEMI-INFINITE ROD SOLUTION FOR TRANSIENT AND STEADY STATE.pdfWasswaderrick3
For the case of conduction of semi-infinite metal rod in natural convection, we postulate that the temperature profile which satisfies the boundary conditions and the initial condition is the exponential temperature profile. We go ahead and solve the heat equation using this temperature profile and the integral approach and the solution got is used to explain what is observed in the transient and steady state. We notice that the prediction made by the theory is not exactly what is observed with an intercept term which comes in. To account for this intercept, we postulate that there’s convection at the hot end. This accounts for the observed intercept. This analysis can be extended to metal rods of finite length with given boundary conditions and different geometries.
DERIVATION OF THE MODIFIED BERNOULLI EQUATION WITH VISCOUS EFFECTS AND TERMIN...Wasswaderrick3
In this book, we use conservation of energy techniques on a fluid element to derive the Modified Bernoulli equation of flow with viscous or friction effects. We derive the general equation of flow/ velocity and then from this we derive the Pouiselle flow equation, the transition flow equation and the turbulent flow equation. In the situations where there are no viscous effects , the equation reduces to the Bernoulli equation. From experimental results, we are able to include other terms in the Bernoulli equation. We also look at cases where pressure gradients exist. We use the Modified Bernoulli equation to derive equations of flow rate for pipes of different cross sectional areas connected together. We also extend our techniques of energy conservation to a sphere falling in a viscous medium under the effect of gravity. We demonstrate Stokes equation of terminal velocity and turbulent flow equation. We look at a way of calculating the time taken for a body to fall in a viscous medium. We also look at the general equation of terminal velocity.
The document outlines the assumptions and equations needed to simulate an object's orbital motion under the gravitational forces of the Earth and Moon. It assumes the Earth and Moon are stationary and there is a fixed distance between them. Only gravitational forces are acting on the object. Using vector algebra and Newton's law of gravity, the document derives an expression for the total acceleration on the object as a function of its position relative to the Earth and Moon. It then discusses using numerical methods like Euler's method and the 4th order Runge-Kutta method to iteratively calculate the object's position and velocity over time.
The document contains solutions to two types of differential equations: homogeneous and linear.
For the homogeneous equations, the solutions are found by representing the equations in auxiliary form to calculate the roots, then the general solution is written using the roots and arbitrary constants.
For the linear equations, the solutions are found by rewriting the equations in standard form y'+P(x)y = q(x), then using an integrating factor to solve for the general solution containing an arbitrary constant.
1) A block is lifted from height h1 to height h2, gaining gravitational potential energy.
2) The only force acting is the downward force of gravity, which has a magnitude of 100 N x 9.81 m/s^2.
3) By lifting the block a distance of 2.0 m, work is done against gravity, increasing the gravitational potential energy.
Solving Linear system of equations Mathematics.pdf.pptxOmarAh4
This document summarizes a presentation on solving linear systems of equations using Gaussian elimination. It includes the following:
- An example linear system involving voltages (V1, V2, V3) and currents (I1-I6) in an electrical circuit with resistors and capacitors.
- The steps to set up the linear system as a matrix equation involving the unknown voltages, including applying Kirchhoff's and Ohm's laws.
- A flowchart showing the Gaussian elimination process: forming the augmented matrix, checking for zero diagonal/determinant, performing row operations if possible, and back substitution to solve for the unknowns.
- The determinant calculation for the 3x3 matrix in this
The document discusses projectile and circular motion. It provides equations to describe the trajectory, velocity, and forces involved in curved motion. For projectile motion, the initial position and velocity along with gravity determine the trajectory. Circular motion requires a centripetal force directed toward the center, which depends on the object's mass, velocity, and distance from the center. Examples are included to calculate parameters for the moon orbiting earth and an object in circular motion like a fairground ride.
THE TEMPERATURE PROFILE SOLUTION IN NATURAL CONVECTION SOLVED MATHEMATICALLY.pdfWasswaderrick3
In this book we derive the generalized cooling law in natural convection for all temperature excesses from empirical results using the fact that Newton's law of cooling is obeyed for temperature excesses less than 30C. We derive an equation from empirical results that predicts the rate of cooling for a given temperature excess and then integrate and solve this equation to give us a straight line that predicts the temperature at a given time for a cooling body in natural convection for all temperature excesses
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Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
বিসিএস ও ব্যাংক এর লিখিত পরীক্ষা ...+এছাড়া মাধ্যমিক ও উচ্চমাধ্যমিকের স্টুডেন্টদের জন্য অনেক কাজে আসবে ...
How to Make a Field Mandatory in Odoo 17Celine George
In Odoo, making a field required can be done through both Python code and XML views. When you set the required attribute to True in Python code, it makes the field required across all views where it's used. Conversely, when you set the required attribute in XML views, it makes the field required only in the context of that particular view.
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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Training: ISO/IEC 27001 Information Security Management System - EN | PECB
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A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
The simplified electron and muon model, Oscillating Spacetime: The Foundation...RitikBhardwaj56
Discover the Simplified Electron and Muon Model: A New Wave-Based Approach to Understanding Particles delves into a groundbreaking theory that presents electrons and muons as rotating soliton waves within oscillating spacetime. Geared towards students, researchers, and science buffs, this book breaks down complex ideas into simple explanations. It covers topics such as electron waves, temporal dynamics, and the implications of this model on particle physics. With clear illustrations and easy-to-follow explanations, readers will gain a new outlook on the universe's fundamental nature.
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
How to Manage Your Lost Opportunities in Odoo 17 CRMCeline George
Odoo 17 CRM allows us to track why we lose sales opportunities with "Lost Reasons." This helps analyze our sales process and identify areas for improvement. Here's how to configure lost reasons in Odoo 17 CRM
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.