Lect7
•Download as PPT, PDF•
0 likes•42 views
This document discusses converting a non-deterministic finite automaton (NFA) to a deterministic finite automaton (DFA). It defines the epsilon-closure of a state, which is the set of states reachable from that state via epsilon transitions. The process constructs a DFA where each state represents the epsilon-closure of states reachable via some string in the NFA. Transitions are determined by taking the epsilon-closure of states reachable from the previous epsilon-closure via a symbol. The document provides examples of converting NFAs to equivalent DFAs.
Report
Share
Report
Share
Recommended
Limit and continuty final
This presentation discusses limits and continuity of functions of several variables. It defines limits of multivariable functions and provides examples of limits that do and do not exist as the variables approach certain points. It also defines continuity as a function being continuous at a point if the limit of the function as the variables approach that point equals the function value at that point. Examples show functions that are and aren't continuous based on whether their limits exist or not.
String Matching with Finite Automata and Knuth Morris Pratt Algorithm
Algorithm to search for a given pattern in a text using Finite Automata and Knuth-Morris-Pratt's Technique.
Lecture 10 chain rule - section 3.4
The document discusses the chain rule and how to apply it to find derivatives of composite functions. It provides examples of using the chain rule to differentiate exponential functions, power functions, and functions that require multiple applications of the chain rule. Formulas for differentiation using the chain rule are generalized to functions of x raised to a variable power or inside an exponential, logarithm, or other functions.
Application of partial derivatives
A PPT on the application of partial derivatives of subject CALCULUS.I hope this will helpful to the students.
Algorithm Design and Complexity - Course 7
The document discusses algorithms for graphs, including breadth-first search (BFS) and depth-first search (DFS). BFS uses a queue to traverse nodes level-by-level from a starting node, computing the shortest path. DFS uses a stack, exploring as far as possible along each branch before backtracking, and computes discovery and finish times for nodes. Both algorithms color nodes white, gray, black to track explored status and maintain predecessor pointers to reconstruct paths. Common graph representations like adjacency lists and matrices are also covered.
Taylor Polynomials and Series
The document provides an overview of Taylor polynomials and series. It begins by announcing homework assignments and then discusses motivation, derivation, and examples of Taylor polynomials. It defines Taylor series and discusses power series convergence. It provides examples of computing Taylor series for specific functions like ln(x). The document cautions that Taylor series may converge at different rates or not converge at all depending on the value being approximated. It defines power series and radius of convergence, explaining the radius represents the interval on which a power series converges. An example computes the radius of convergence for a geometric power series.
Basics of Dynamic programming
Richard Bellman coined the term "dynamic programming" to describe his mathematical research at RAND Corporation. Dynamic programming is a method for solving complex problems by breaking them down into simpler subproblems. The document provides examples of using dynamic programming to solve the Fibonacci sequence, longest common subsequence, wildcard matching, and matrix chain multiplication problems. It also discusses using dynamic programming and hidden Markov models for part-of-speech tagging via the Viterbi algorithm.
Taylor series
This document discusses Taylor series and their applications. It begins by showing examples of using Taylor series to approximate functions at different points. It then provides background on famous mathematicians who contributed to the development of Taylor series. It explains Taylor's theorem which forms the basis for Taylor series and polynomial approximations. Several proofs are given, including that Taylor series can be used to represent entire functions like sine. Applications of Taylor series discussed include special relativity, optics, physics, and surveying.
Recommended
Limit and continuty final
This presentation discusses limits and continuity of functions of several variables. It defines limits of multivariable functions and provides examples of limits that do and do not exist as the variables approach certain points. It also defines continuity as a function being continuous at a point if the limit of the function as the variables approach that point equals the function value at that point. Examples show functions that are and aren't continuous based on whether their limits exist or not.
String Matching with Finite Automata and Knuth Morris Pratt Algorithm
Algorithm to search for a given pattern in a text using Finite Automata and Knuth-Morris-Pratt's Technique.
Lecture 10 chain rule - section 3.4
The document discusses the chain rule and how to apply it to find derivatives of composite functions. It provides examples of using the chain rule to differentiate exponential functions, power functions, and functions that require multiple applications of the chain rule. Formulas for differentiation using the chain rule are generalized to functions of x raised to a variable power or inside an exponential, logarithm, or other functions.
Application of partial derivatives
A PPT on the application of partial derivatives of subject CALCULUS.I hope this will helpful to the students.
Algorithm Design and Complexity - Course 7
The document discusses algorithms for graphs, including breadth-first search (BFS) and depth-first search (DFS). BFS uses a queue to traverse nodes level-by-level from a starting node, computing the shortest path. DFS uses a stack, exploring as far as possible along each branch before backtracking, and computes discovery and finish times for nodes. Both algorithms color nodes white, gray, black to track explored status and maintain predecessor pointers to reconstruct paths. Common graph representations like adjacency lists and matrices are also covered.
Taylor Polynomials and Series
The document provides an overview of Taylor polynomials and series. It begins by announcing homework assignments and then discusses motivation, derivation, and examples of Taylor polynomials. It defines Taylor series and discusses power series convergence. It provides examples of computing Taylor series for specific functions like ln(x). The document cautions that Taylor series may converge at different rates or not converge at all depending on the value being approximated. It defines power series and radius of convergence, explaining the radius represents the interval on which a power series converges. An example computes the radius of convergence for a geometric power series.
Basics of Dynamic programming
Richard Bellman coined the term "dynamic programming" to describe his mathematical research at RAND Corporation. Dynamic programming is a method for solving complex problems by breaking them down into simpler subproblems. The document provides examples of using dynamic programming to solve the Fibonacci sequence, longest common subsequence, wildcard matching, and matrix chain multiplication problems. It also discusses using dynamic programming and hidden Markov models for part-of-speech tagging via the Viterbi algorithm.
Taylor series
This document discusses Taylor series and their applications. It begins by showing examples of using Taylor series to approximate functions at different points. It then provides background on famous mathematicians who contributed to the development of Taylor series. It explains Taylor's theorem which forms the basis for Taylor series and polynomial approximations. Several proofs are given, including that Taylor series can be used to represent entire functions like sine. Applications of Taylor series discussed include special relativity, optics, physics, and surveying.
Shubhanshumathprojectwork10 a-120930012042-phpapp01
This document discusses key concepts about polynomials including:
1) It defines polynomials as algebraic expressions involving one variable with a finite number of terms. The degree of a polynomial is defined as the highest power of the variable.
2) It describes different types of polynomials based on degree including constant, linear, quadratic, cubic, and biquadratic polynomials.
3) It explains that the zeros of a polynomial are the values that make the polynomial equal to zero when substituted for the variable. The zeros are important for understanding the geometric meaning and factorization of polynomials.
4) Relationships are described between the zeros and coefficients of quadratic and cubic polynomials based on their factorizations. The division algorithm for polynomials is also summarized
32 stoke's theorem
The document discusses curl and Stokes' theorem. It defines the curl of a vector field F(x, y, z) and provides an example of computing the curl. It states Stokes' theorem - that a vector field F is conservative if and only if the curl of F is equal to 0. An example verifies that the vector field F = (2xy + 3)i + (x2 - 4)j + k is conservative by showing its curl is 0. It then finds a potential function P(x, y, z) such that P equals the original vector field F.
17 integrals of rational functions x
This document discusses integrating rational functions. It begins by defining rational functions as functions of the form P(x)/Q(x) where P and Q are polynomials. It states that integrating rational functions involves decomposing them into simpler fractions using the Rational Decomposition Theorem. Examples are then provided to demonstrate how to decompose rational functions and integrate each term using substitution.
Calculus II - 26
A power series is a series of the form Σan(x-c)n where an are the coefficients of the series. The sum of the series is a function of x. A power series centered at c or about c is of the form Σan(x-c)n. For a given power series, there are three possibilities for convergence: it converges only at c, converges for all x, or converges when |x-c|<R and diverges when |x-c|>R, where R is the radius of convergence.
APPLICATION OF PARTIAL DIFFERENTIATION
This document provides information on several multivariable calculus topics:
1) Finding maxima and minima of functions of two variables using partial derivatives and the second derivative test.
2) Finding the tangent plane and normal line to a surface.
3) Taylor series expansions for functions of two variables.
4) Standard expansions for common functions like e^x, cosh(x), and tanh(x) using Maclaurin series.
5) Linearizing functions around a point using the tangent plane approximation.
6) Lagrange's method of undetermined multipliers for finding extrema with constraints.
Taylor series in 1 and 2 variable
Brook Taylor developed ideas regarding infinite series in the late 17th century. The document discusses Taylor series and Maclaurian series, which are ways of approximating functions using polynomials. Taylor series expand a function around a point x=a using derivatives, while Maclaurian series use a point of x=0. Examples are given of approximating common trigonometric functions like cosine using Taylor polynomials of increasing degrees. The order, degree, and number of terms in the approximations are defined.
Algorithm Design and Complexity - Course 8
The document discusses algorithms for finding strongly connected components (SCCs) in directed graphs. It describes Kosaraju's algorithm, which uses two depth-first searches (DFS) to find the SCCs. The first DFS computes a finishing time ordering, while the second DFS uses the transpose graph and the finishing time ordering to find the SCCs, outputting each SCC as a separate DFS tree. The algorithm runs in O(V+E) time and uses the property that the first DFS provides a topological sorting of the SCCs graph.
POLYNOMIALS OF CLASS 10
1. A polynomial of degree n can be represented by a general form that is the sum of terms with ax^n, ax^{n-1}, ..., a1x, and a0.
2. The zeroes (or roots) of a polynomial are the values of x that make the polynomial equal to 0. A linear polynomial graphs as a straight line, a quadratic polynomial graphs as a parabola, and a polynomial of degree n can cross the x-axis at most n times.
3. For a quadratic polynomial ax^2 + bx + c, the sum of the zeroes is -b/a and the product of the zeroes is c/a.
Newton raphson method
The document describes the Newton-Raphson method to find an approximate root of an equation. It explains that given an approximate root x0, the method iteratively calculates better approximations x1, x2, etc. until converging on the exact root. Each new approximation xn+1 is calculated as xn - f(xn)/f'(xn), where f(x) is the original equation, and f'(x) is its derivative. An example applies the method to find the real root of x4 - x - 10 = 0, obtaining the value 1.855 after 4 iterations.
Linear approximations and_differentials
The document discusses linear approximations and differentials. It explains that a linear approximation uses the tangent line at a point to approximate nearby values of a function. The linearization of a function f at a point a is the linear function L(x) = f(a) + f'(a)(x - a). Several examples are provided of finding the linearization of functions and using it to approximate values. Differentials are also introduced, where dy represents the change along the tangent line and ∆y represents the actual change in the function.
Calculus II - 21
This document discusses infinite sequences and infinite series. Some key points:
1. It provides examples of determining if an infinite sequence converges or diverges based on the limit of its terms.
2. Properties of operations on convergent sequences are given, such as sums, products, and compositions.
3. Theorems regarding convergence of sequences are stated, such as if the limit of the sequence of partial sums exists.
4. Examples are given of showing monotonicity (increasing or decreasing behavior) of specific sequences.
5. Boundedness of sequences is defined, and the monotonic sequence theorem is stated.
6. Infinite series are introduced as the sum of the terms of a
16 partial fraction decompositions x
This document discusses partial fraction decompositions, which are used to integrate rational functions. It explains that a rational function P(x)/Q(x), where P and Q are polynomials, can be broken down into a sum of simpler rational formulas where the denominators are the factors of Q(x) according to the partial fraction decomposition theorem. Two methods are used to find the exact decomposition: evaluating at the roots of the least common denominator, and matching coefficients after expanding. Examples are provided to illustrate decomposing different types of rational functions.
Data Structure and Algorithms Graphs
This slide explains some important concepts of graph e.g Floyed Warshall's Algorithm and Shortest path
1203 ch 12 day 3
Here are the problems from the slides with their solutions:
1. Find the slope of the line tangent to the graph of the function f(x) = x^2 - 5x + 8 at the point P(1,4).
Slope = -3
2. Find the equation of the tangent line to the curve f(x) = 2x^2 - 3 at the point P(1,-1) using point-slope form.
y - (-1) = 4(x - 1)
3. Find the equation of the tangent line to the curve f(x) = x + 6 at the point P(3,3) using point-slope form.
y
Application of partial derivatives with two variables
Application of Partial Derivatives with Two Variables
Maxima And Minima Values.
Maximum And Minimum Values.
Tangent and Normal.
Error And Approximation.
Class 10 Maths Ch Polynomial PPT
The document defines different types of polynomials and their key properties. It discusses linear, quadratic, and cubic polynomials, and defines them based on their highest degree term. It also covers the degree of a polynomial, zeros of polynomials, and the relationship between the zeros and coefficients of quadratic and cubic polynomials. Finally, it discusses the division algorithm for polynomials.
4 areas in polar coordinates
The document discusses calculating the area swept out by a polar function r=f(θ) between the angles θ=a and θ=b. The polar area formula is given as A = (1/2) ∫f(θ)2 dθ. Formulas are derived to integrate the squares of sine and cosine in terms of the cosine double angle. These integrals are summarized. An example problem finds the area swept by r=2sin(θ) between 0 and 2π, which is 2π, the area of a circle with radius 1 swept out twice.
Application of derivatives
The document discusses applications of differentiation, including:
- How derivatives help locate maximum and minimum values of functions by determining if a function is increasing or decreasing over an interval.
- Examples of optimization problems involving finding maximum/minimum values, such as the optimal shape of a can.
- Key terms related to maximum/minimum values including local/global extrema, critical points, and how the first and second derivatives relate to concavity.
- An example problem involving finding the maximum area of a rectangular temple room given a perimeter constraint.
Fundamental theorem of algebra
The document discusses several theorems related to polynomials:
1) The Fundamental Theorem of Algebra states that any polynomial of degree greater than 1 with complex coefficients has at least one complex zero.
2) A polynomial of degree n has at most n zeros.
3) A polynomial of degree n greater than 1 with complex coefficients has exactly n complex zeros, if multiplicities are counted.
Calculus II - 1
This document discusses integration techniques in Calculus II, including integration by parts. It begins by listing the chapter topics covered in the book Stewart Calculus. It then provides examples of using integration by parts to evaluate definite integrals. The key steps are: (1) identify u and dv in the integral, (2) take the derivatives of u and v, (3) apply the integration by parts formula, and (4) evaluate the resulting integral. Choosing u and dv carefully is important to simplify the problem.
More Related Content
What's hot
Shubhanshumathprojectwork10 a-120930012042-phpapp01
This document discusses key concepts about polynomials including:
1) It defines polynomials as algebraic expressions involving one variable with a finite number of terms. The degree of a polynomial is defined as the highest power of the variable.
2) It describes different types of polynomials based on degree including constant, linear, quadratic, cubic, and biquadratic polynomials.
3) It explains that the zeros of a polynomial are the values that make the polynomial equal to zero when substituted for the variable. The zeros are important for understanding the geometric meaning and factorization of polynomials.
4) Relationships are described between the zeros and coefficients of quadratic and cubic polynomials based on their factorizations. The division algorithm for polynomials is also summarized
32 stoke's theorem
The document discusses curl and Stokes' theorem. It defines the curl of a vector field F(x, y, z) and provides an example of computing the curl. It states Stokes' theorem - that a vector field F is conservative if and only if the curl of F is equal to 0. An example verifies that the vector field F = (2xy + 3)i + (x2 - 4)j + k is conservative by showing its curl is 0. It then finds a potential function P(x, y, z) such that P equals the original vector field F.
17 integrals of rational functions x
This document discusses integrating rational functions. It begins by defining rational functions as functions of the form P(x)/Q(x) where P and Q are polynomials. It states that integrating rational functions involves decomposing them into simpler fractions using the Rational Decomposition Theorem. Examples are then provided to demonstrate how to decompose rational functions and integrate each term using substitution.
Calculus II - 26
A power series is a series of the form Σan(x-c)n where an are the coefficients of the series. The sum of the series is a function of x. A power series centered at c or about c is of the form Σan(x-c)n. For a given power series, there are three possibilities for convergence: it converges only at c, converges for all x, or converges when |x-c|<R and diverges when |x-c|>R, where R is the radius of convergence.
APPLICATION OF PARTIAL DIFFERENTIATION
This document provides information on several multivariable calculus topics:
1) Finding maxima and minima of functions of two variables using partial derivatives and the second derivative test.
2) Finding the tangent plane and normal line to a surface.
3) Taylor series expansions for functions of two variables.
4) Standard expansions for common functions like e^x, cosh(x), and tanh(x) using Maclaurin series.
5) Linearizing functions around a point using the tangent plane approximation.
6) Lagrange's method of undetermined multipliers for finding extrema with constraints.
Taylor series in 1 and 2 variable
Brook Taylor developed ideas regarding infinite series in the late 17th century. The document discusses Taylor series and Maclaurian series, which are ways of approximating functions using polynomials. Taylor series expand a function around a point x=a using derivatives, while Maclaurian series use a point of x=0. Examples are given of approximating common trigonometric functions like cosine using Taylor polynomials of increasing degrees. The order, degree, and number of terms in the approximations are defined.
Algorithm Design and Complexity - Course 8
The document discusses algorithms for finding strongly connected components (SCCs) in directed graphs. It describes Kosaraju's algorithm, which uses two depth-first searches (DFS) to find the SCCs. The first DFS computes a finishing time ordering, while the second DFS uses the transpose graph and the finishing time ordering to find the SCCs, outputting each SCC as a separate DFS tree. The algorithm runs in O(V+E) time and uses the property that the first DFS provides a topological sorting of the SCCs graph.
POLYNOMIALS OF CLASS 10
1. A polynomial of degree n can be represented by a general form that is the sum of terms with ax^n, ax^{n-1}, ..., a1x, and a0.
2. The zeroes (or roots) of a polynomial are the values of x that make the polynomial equal to 0. A linear polynomial graphs as a straight line, a quadratic polynomial graphs as a parabola, and a polynomial of degree n can cross the x-axis at most n times.
3. For a quadratic polynomial ax^2 + bx + c, the sum of the zeroes is -b/a and the product of the zeroes is c/a.
Newton raphson method
The document describes the Newton-Raphson method to find an approximate root of an equation. It explains that given an approximate root x0, the method iteratively calculates better approximations x1, x2, etc. until converging on the exact root. Each new approximation xn+1 is calculated as xn - f(xn)/f'(xn), where f(x) is the original equation, and f'(x) is its derivative. An example applies the method to find the real root of x4 - x - 10 = 0, obtaining the value 1.855 after 4 iterations.
Linear approximations and_differentials
The document discusses linear approximations and differentials. It explains that a linear approximation uses the tangent line at a point to approximate nearby values of a function. The linearization of a function f at a point a is the linear function L(x) = f(a) + f'(a)(x - a). Several examples are provided of finding the linearization of functions and using it to approximate values. Differentials are also introduced, where dy represents the change along the tangent line and ∆y represents the actual change in the function.
Calculus II - 21
This document discusses infinite sequences and infinite series. Some key points:
1. It provides examples of determining if an infinite sequence converges or diverges based on the limit of its terms.
2. Properties of operations on convergent sequences are given, such as sums, products, and compositions.
3. Theorems regarding convergence of sequences are stated, such as if the limit of the sequence of partial sums exists.
4. Examples are given of showing monotonicity (increasing or decreasing behavior) of specific sequences.
5. Boundedness of sequences is defined, and the monotonic sequence theorem is stated.
6. Infinite series are introduced as the sum of the terms of a
16 partial fraction decompositions x
This document discusses partial fraction decompositions, which are used to integrate rational functions. It explains that a rational function P(x)/Q(x), where P and Q are polynomials, can be broken down into a sum of simpler rational formulas where the denominators are the factors of Q(x) according to the partial fraction decomposition theorem. Two methods are used to find the exact decomposition: evaluating at the roots of the least common denominator, and matching coefficients after expanding. Examples are provided to illustrate decomposing different types of rational functions.
Data Structure and Algorithms Graphs
This slide explains some important concepts of graph e.g Floyed Warshall's Algorithm and Shortest path
1203 ch 12 day 3
Here are the problems from the slides with their solutions:
1. Find the slope of the line tangent to the graph of the function f(x) = x^2 - 5x + 8 at the point P(1,4).
Slope = -3
2. Find the equation of the tangent line to the curve f(x) = 2x^2 - 3 at the point P(1,-1) using point-slope form.
y - (-1) = 4(x - 1)
3. Find the equation of the tangent line to the curve f(x) = x + 6 at the point P(3,3) using point-slope form.
y
Application of partial derivatives with two variables
Application of Partial Derivatives with Two Variables
Maxima And Minima Values.
Maximum And Minimum Values.
Tangent and Normal.
Error And Approximation.
Class 10 Maths Ch Polynomial PPT
The document defines different types of polynomials and their key properties. It discusses linear, quadratic, and cubic polynomials, and defines them based on their highest degree term. It also covers the degree of a polynomial, zeros of polynomials, and the relationship between the zeros and coefficients of quadratic and cubic polynomials. Finally, it discusses the division algorithm for polynomials.
4 areas in polar coordinates
The document discusses calculating the area swept out by a polar function r=f(θ) between the angles θ=a and θ=b. The polar area formula is given as A = (1/2) ∫f(θ)2 dθ. Formulas are derived to integrate the squares of sine and cosine in terms of the cosine double angle. These integrals are summarized. An example problem finds the area swept by r=2sin(θ) between 0 and 2π, which is 2π, the area of a circle with radius 1 swept out twice.
Application of derivatives
The document discusses applications of differentiation, including:
- How derivatives help locate maximum and minimum values of functions by determining if a function is increasing or decreasing over an interval.
- Examples of optimization problems involving finding maximum/minimum values, such as the optimal shape of a can.
- Key terms related to maximum/minimum values including local/global extrema, critical points, and how the first and second derivatives relate to concavity.
- An example problem involving finding the maximum area of a rectangular temple room given a perimeter constraint.
Fundamental theorem of algebra
The document discusses several theorems related to polynomials:
1) The Fundamental Theorem of Algebra states that any polynomial of degree greater than 1 with complex coefficients has at least one complex zero.
2) A polynomial of degree n has at most n zeros.
3) A polynomial of degree n greater than 1 with complex coefficients has exactly n complex zeros, if multiplicities are counted.
Calculus II - 1
This document discusses integration techniques in Calculus II, including integration by parts. It begins by listing the chapter topics covered in the book Stewart Calculus. It then provides examples of using integration by parts to evaluate definite integrals. The key steps are: (1) identify u and dv in the integral, (2) take the derivatives of u and v, (3) apply the integration by parts formula, and (4) evaluate the resulting integral. Choosing u and dv carefully is important to simplify the problem.
What's hot (20)
Shubhanshumathprojectwork10 a-120930012042-phpapp01
Shubhanshumathprojectwork10 a-120930012042-phpapp01
Application of partial derivatives with two variables
Application of partial derivatives with two variables
Recently uploaded
What is Digital Literacy? A guest blog from Andy McLaughlin, University of Ab...
What is Digital Literacy? A guest blog from Andy McLaughlin, University of Aberdeen
clinical examination of hip joint (1).pdf
described clinical examination all orthopeadic conditions .
How to Fix the Import Error in the Odoo 17
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
Hindi varnamala | hindi alphabet PPT.pdf
हिंदी वर्णमाला पीपीटी, hindi alphabet PPT presentation, hindi varnamala PPT, Hindi Varnamala pdf, हिंदी स्वर, हिंदी व्यंजन, sikhiye hindi varnmala, dr. mulla adam ali, hindi language and literature, hindi alphabet with drawing, hindi alphabet pdf, hindi varnamala for childrens, hindi language, hindi varnamala practice for kids, https://www.drmullaadamali.com
Chapter 4 - Islamic Financial Institutions in Malaysia.pptx
Chapter 4 - Islamic Financial Institutions in Malaysia.pptxMohd Adib Abd Muin, Senior Lecturer at Universiti Utara Malaysia
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
How to Create a More Engaging and Human Online Learning Experience
How to Create a More Engaging and Human Online Learning Experience Wahiba Chair Training & Consulting
Wahiba Chair's Talk at the 2024 Learning Ideas Conference. South African Journal of Science: Writing with integrity workshop (2024)
South African Journal of Science: Writing with integrity workshop (2024)Academy of Science of South Africa
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.Pollock and Snow "DEIA in the Scholarly Landscape, Session One: Setting Expec...
Pollock and Snow "DEIA in the Scholarly Landscape, Session One: Setting Expec...National Information Standards Organization (NISO)
This presentation was provided by Steph Pollock of The American Psychological Association’s Journals Program, and Damita Snow, of The American Society of Civil Engineers (ASCE), for the initial session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session One: 'Setting Expectations: a DEIA Primer,' was held June 6, 2024.The History of Stoke Newington Street Names
Presented at the Stoke Newington Literary Festival on 9th June 2024
www.StokeNewingtonHistory.com
How to Setup Warehouse & Location in Odoo 17 Inventory
In this slide, we'll explore how to set up warehouses and locations in Odoo 17 Inventory. This will help us manage our stock effectively, track inventory levels, and streamline warehouse operations.
Wound healing PPT
This document provides an overview of wound healing, its functions, stages, mechanisms, factors affecting it, and complications.
A wound is a break in the integrity of the skin or tissues, which may be associated with disruption of the structure and function.
Healing is the body’s response to injury in an attempt to restore normal structure and functions.
Healing can occur in two ways: Regeneration and Repair
There are 4 phases of wound healing: hemostasis, inflammation, proliferation, and remodeling. This document also describes the mechanism of wound healing. Factors that affect healing include infection, uncontrolled diabetes, poor nutrition, age, anemia, the presence of foreign bodies, etc.
Complications of wound healing like infection, hyperpigmentation of scar, contractures, and keloid formation.
How to Add Chatter in the odoo 17 ERP Module
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
Walmart Business+ and Spark Good for Nonprofits.pdf
"Learn about all the ways Walmart supports nonprofit organizations.
You will hear from Liz Willett, the Head of Nonprofits, and hear about what Walmart is doing to help nonprofits, including Walmart Business and Spark Good. Walmart Business+ is a new offer for nonprofits that offers discounts and also streamlines nonprofits order and expense tracking, saving time and money.
The webinar may also give some examples on how nonprofits can best leverage Walmart Business+.
The event will cover the following::
Walmart Business + (https://business.walmart.com/plus) is a new shopping experience for nonprofits, schools, and local business customers that connects an exclusive online shopping experience to stores. Benefits include free delivery and shipping, a 'Spend Analytics” feature, special discounts, deals and tax-exempt shopping.
Special TechSoup offer for a free 180 days membership, and up to $150 in discounts on eligible orders.
Spark Good (walmart.com/sparkgood) is a charitable platform that enables nonprofits to receive donations directly from customers and associates.
Answers about how you can do more with Walmart!"
Advanced Java[Extra Concepts, Not Difficult].docx
This is part 2 of my Java Learning Journey. This contains Hashing, ArrayList, LinkedList, Date and Time Classes, Calendar Class and more.
Recently uploaded (20)
What is Digital Literacy? A guest blog from Andy McLaughlin, University of Ab...
What is Digital Literacy? A guest blog from Andy McLaughlin, University of Ab...
Chapter 4 - Islamic Financial Institutions in Malaysia.pptx
Chapter 4 - Islamic Financial Institutions in Malaysia.pptx
How to Create a More Engaging and Human Online Learning Experience
How to Create a More Engaging and Human Online Learning Experience
South African Journal of Science: Writing with integrity workshop (2024)
South African Journal of Science: Writing with integrity workshop (2024)
Digital Artefact 1 - Tiny Home Environmental Design
Digital Artefact 1 - Tiny Home Environmental Design
Pollock and Snow "DEIA in the Scholarly Landscape, Session One: Setting Expec...
Pollock and Snow "DEIA in the Scholarly Landscape, Session One: Setting Expec...
Liberal Approach to the Study of Indian Politics.pdf
Liberal Approach to the Study of Indian Politics.pdf
How to Setup Warehouse & Location in Odoo 17 Inventory
How to Setup Warehouse & Location in Odoo 17 Inventory
Walmart Business+ and Spark Good for Nonprofits.pdf
Walmart Business+ and Spark Good for Nonprofits.pdf
Lect7
- 1. Lecture 7 From NFA to DFA
- 2. DFA • For every string x, there is a unique path from initial state and associated with x. x is accepted if and only if this path ends at a final state. x
- 3. NFA • For any string x, there may exist none or more than one path from initial state and associated with x.
- 4. NFA DFA • Consider an NFA M=(Q, Σ, δ, s, F). • For x in Σ*, define [x] = {q in Q | there exists a path s q} • Define DFA M’=(Q’, Σ, δ’, s’, F’}: Q’ = { [x] | x in Σ* }, δ ([x], a) = [xa] for x in Σ* and a in Σ, s’ = [ε], F’ = { [x] | x in L(M) } x
- 5. Construction of M’ Special Case: M has no ε-move. • [ε] = {s} • Suppose [x] is known. How to get [xa] for a in Σ?
- 6. From [x] to [xa] • [xa] = { p | there exists a path q p for some q in [x] } = { p | there exists q in [x], q p } = U a a q in [x] δ(q,a) edge path
- 7. Construction of M’ • F’ = {[x] | x in L(M)} = {[x] | [x] ∩ F ≠ Ǿ }
- 8. Example 1 • Construct DFA to accept 00(0+1)* p 0 0 0 1 s q s p q 0 0 1 Ǿ 1 0,1 0, 1
- 9. Example 2 • Design DFA to accept (0+1)*11 s p 1 1 0 1 q s 1 s p 0 1 s q 1 0 p 0
- 10. Example 3 • Design DFA to accept 00(0+1)*11 s p q r 0 1 1 0 0 1 t s 0 p 1 Ǿ 0,1 1 0 q 0 1 q r 1 q r t 0 0 1
- 11. Example 4 • Construct DFA M for L(M)=ε. s Is this a DFA? s 0 Ǿ 1 0,1
- 12. Example 5 • Construct DFA M for L(M)=Ǿ. s Is it a DFA? s 0 Ǿ 0,1 1 0,1
- 13. Construction of M’ • For q in Q, define ε-closure(q) = {p | there exists a path q p} • [ε] = {q | there is a path s q} = ε-closure(s) • Suppose [x] is known. How to get [xa] for a in Σ? ε ε path path
- 14. From [x] to [xa] • [xa] = { p | there exists a path q p for some q in [x] } = { p | there exists q in [x], q r p } = { p | for some q in [x] and r in δ(q,a), p in ε-closure(r) } = U U ε-closure(r) a a ε q in [x] r in δ(q,a) edge path path
- 15. Construction of M’ • F’ = {[x] | x in L(M)} = {[x] | [x] ∩ F ≠ Ǿ }
- 16. Example 6 • Construct DFA M for L(M)=(0+1)*. 0,1 ε ε s p q s p q 0 p q 1 0,1 0,1
- 17. Example 7 • Convert the following NFA to DFA. s p 0 ε 0 ε 0 1 1 ε 0 r s r p 0 q r p 1 s q, r, p 0 1 0 1 q
- 18. a s d c b s 0,1 0 0 0 0 0 1 1 1 1 e 0 s,a 1 s,a,b 0 0 s,a,b,c 0 s,a,b,c,d 0 s,a,b,c,d,e 1 s,b 1 s,c 1 s,d 1 s,e How many states? 2 =32 5 How many final states? 2 = 16 4 Can we simplify it? No, it is minimum!