This document summarizes control statements in MATLAB, including for, if, while, and input/output commands. It provides examples of using for loops to iterate through values and nested for loops to fill matrices. It also describes if, if-elseif, and if-elseif-else statements for conditional execution. While loops are explained as repeating a block of code as long as a condition is true. Finally, common input/output commands like echo, input, and fprintf are briefly defined.
The document discusses loops and iterations in Python programming. It introduces while and for loops. While loops repeat a block of code until a test condition is false. For loops are generally used to iterate over lists, tuples, strings, etc. The document provides examples of using while loops to calculate factorial, exponentiation, and the terms of arithmetic and geometric progressions. It also discusses using loops to generate patterns by nesting for loops, with the outer loop iterating over rows and the inner loop producing a variable number of stars in each row based on the row number.
This document discusses functions in programming. It begins by explaining the importance of dividing programs into smaller, more manageable parts called functions. Functions take inputs, process them, and may produce outputs. The document then discusses features of functions like modular programming, reusability of code, and manageability. It defines key terms like function name, arguments, and return values. It provides examples of defining and calling functions, and different types of functions based on parameters and return types.
Logarithms relate an input value to the power needed to raise a base to produce that output value. Logarithmic scales are used to measure sound because they match how humans perceive changes in loudness. The key properties of logarithms are:
1) Logarithmic functions are inverses of exponential functions.
2) When working with logarithms or exponents, it helps to rewrite the problem in the other form.
3) For logarithmic equations, setting the arguments equal is valid if the bases are the same.
This document discusses algorithms and some basic algorithms used in computer science. It begins by defining an algorithm as a step-by-step method for solving a problem or completing a task. It then describes three common constructs used in algorithms: sequence, decision, and repetition. The document also discusses representations of algorithms using UML diagrams and pseudocode. Finally, it provides examples of basic algorithms like summation, product, and finding the smallest/largest values; and describes the general logic and structure of algorithms for addition, multiplication, and minimum/maximum calculations.
This document contains exercises, hints, and solutions for Chapter 1 of the book "Introduction to the Design and Analysis of Algorithms." It includes 11 exercises related to algorithms for computing greatest common divisors, square roots, binary representations, and other topics. The document also provides hints for each exercise to help students solve them and includes the solutions.
Bab 4 dan bab 5 algebra and trigonometryCiciPajarakan
This document discusses exponential functions and their properties. Exponential functions have the form f(x) = ax, where a is the base. They model phenomena like population growth, compound interest, and radioactive decay. Exponential functions either increase or decrease rapidly depending on whether the base a is greater than or less than 1. Their graphs have a characteristic shape, with the x-axis as a horizontal asymptote. Logarithmic functions are the inverses of exponential functions and can be used to solve equations involving exponential models.
The document summarizes the Agrawal-Kayal-Saxena (AKS) primality test, which can determine if a number n is prime in polynomial time. It discusses different categories of primality tests, including tests where n being prime implies the test holds, tests where the test holding implies n is prime, and the AKS test where the test holding if and only if n is prime. The AKS algorithm is described along with proof of correctness and runtime analysis showing it runs in polynomial time. An example application of the AKS test to the number 1993 is provided to demonstrate it.
This document discusses the complexity of primality testing. It begins by explaining what prime and composite numbers are, and why primality testing is important for applications like public-key cryptography that rely on the assumption that factoring large composite numbers is computationally difficult. It then covers algorithms for primality testing like the Monte Carlo algorithm and discusses their runtime complexities. It shows that while testing if a number is composite can be done in polynomial time, general number factoring is believed to require exponential time, making primality testing an important problem.
The document discusses loops and iterations in Python programming. It introduces while and for loops. While loops repeat a block of code until a test condition is false. For loops are generally used to iterate over lists, tuples, strings, etc. The document provides examples of using while loops to calculate factorial, exponentiation, and the terms of arithmetic and geometric progressions. It also discusses using loops to generate patterns by nesting for loops, with the outer loop iterating over rows and the inner loop producing a variable number of stars in each row based on the row number.
This document discusses functions in programming. It begins by explaining the importance of dividing programs into smaller, more manageable parts called functions. Functions take inputs, process them, and may produce outputs. The document then discusses features of functions like modular programming, reusability of code, and manageability. It defines key terms like function name, arguments, and return values. It provides examples of defining and calling functions, and different types of functions based on parameters and return types.
Logarithms relate an input value to the power needed to raise a base to produce that output value. Logarithmic scales are used to measure sound because they match how humans perceive changes in loudness. The key properties of logarithms are:
1) Logarithmic functions are inverses of exponential functions.
2) When working with logarithms or exponents, it helps to rewrite the problem in the other form.
3) For logarithmic equations, setting the arguments equal is valid if the bases are the same.
This document discusses algorithms and some basic algorithms used in computer science. It begins by defining an algorithm as a step-by-step method for solving a problem or completing a task. It then describes three common constructs used in algorithms: sequence, decision, and repetition. The document also discusses representations of algorithms using UML diagrams and pseudocode. Finally, it provides examples of basic algorithms like summation, product, and finding the smallest/largest values; and describes the general logic and structure of algorithms for addition, multiplication, and minimum/maximum calculations.
This document contains exercises, hints, and solutions for Chapter 1 of the book "Introduction to the Design and Analysis of Algorithms." It includes 11 exercises related to algorithms for computing greatest common divisors, square roots, binary representations, and other topics. The document also provides hints for each exercise to help students solve them and includes the solutions.
Bab 4 dan bab 5 algebra and trigonometryCiciPajarakan
This document discusses exponential functions and their properties. Exponential functions have the form f(x) = ax, where a is the base. They model phenomena like population growth, compound interest, and radioactive decay. Exponential functions either increase or decrease rapidly depending on whether the base a is greater than or less than 1. Their graphs have a characteristic shape, with the x-axis as a horizontal asymptote. Logarithmic functions are the inverses of exponential functions and can be used to solve equations involving exponential models.
The document summarizes the Agrawal-Kayal-Saxena (AKS) primality test, which can determine if a number n is prime in polynomial time. It discusses different categories of primality tests, including tests where n being prime implies the test holds, tests where the test holding implies n is prime, and the AKS test where the test holding if and only if n is prime. The AKS algorithm is described along with proof of correctness and runtime analysis showing it runs in polynomial time. An example application of the AKS test to the number 1993 is provided to demonstrate it.
This document discusses the complexity of primality testing. It begins by explaining what prime and composite numbers are, and why primality testing is important for applications like public-key cryptography that rely on the assumption that factoring large composite numbers is computationally difficult. It then covers algorithms for primality testing like the Monte Carlo algorithm and discusses their runtime complexities. It shows that while testing if a number is composite can be done in polynomial time, general number factoring is believed to require exponential time, making primality testing an important problem.
This document discusses implementing merge sort. It begins with an introduction to merge sort and the divide and conquer approach. It then reviews two relevant literature sources, one on applying formal model merging to class diagram integration and resolving conflicts, and another on a heuristic and pattern-based approach to merge sort to reduce computational complexity. The document also presents an illustration of how merge sort works and discusses resolving inconsistencies that can arise when combining partial models from different use cases.
The document discusses recursion and provides examples of recursive algorithms and code implementations. It defines recursion as a function calling itself directly or indirectly. Examples given include computing factorials recursively and calculating the sum of digits of a number recursively. Algorithms are presented for checking if a number is prime recursively and calculating the sum of the first N natural numbers recursively. Code snippets are included to demonstrate recursive implementations in C.
Binary search is an algorithm that searches for a value in a sorted list by repeatedly eliminating half of the list from consideration. It examines the middle element of the search area and eliminates the upper half if it is smaller than the target or the lower half if it is larger. This process repeats with the narrowed search area until the target is found or the entire area is eliminated. Binary search runs in O(log N) time as it cuts the search space in half each step. Java provides Arrays.binarySearch and Collections.binarySearch methods to perform binary searches on arrays and lists.
This document provides an overview and review of key concepts in precalculus that are important for success in Calculus I, including:
- Functions and function notation. Key points are that a function assigns a single output to each input, and function notation (e.g. f(x)) represents the output of a function given a specific input.
- Finding roots of functions by setting the function equal to zero and solving.
- Composition of functions, where the output of one function becomes the input of another. The order of functions in composition matters.
- Other topics like inverse functions, trigonometric functions, exponentials and logarithms are also reviewed at a high level.
The document
The document discusses the binary search algorithm. It begins by outlining the advantages of binary search over linear search for large arrays: it is more efficient and only requires a sorted array. It then provides details on how binary search works by repeatedly dividing the search space in half based on comparisons between the search key and the middle element. Pseudocode is included showing how binary search uses three variables - first, last, and middle - to mark the current search subarray and returns the index if found or -1 if not found. An example program demonstrates using binary search to look up names and phone numbers from sorted arrays.
The document discusses several common sorting algorithms: bubble sort, selection sort, insertion sort, merge sort, and quick sort. Bubble sort works by scanning an array from left to right, swapping adjacent elements that are out of order. Selection sort finds the smallest element, swaps it into the first position, then repeats to find the next smallest. Insertion sort inserts new elements into the correct position in a sorted array. Merge sort divides an array in half, sorts the halves, and merges them back together. Quick sort chooses a pivot element and partitions the array into sub-arrays based on element values relative to the pivot.
This document discusses program analysis using random interpretation. It introduces random interpretation as a new class of program analyses that is almost as simple and efficient as random testing, but also almost as sound as abstract interpretation. Random interpretation works by choosing random inputs, executing both branches of conditionals, combining variable values at joins, and testing assertions. Examples are provided to illustrate how random interpretation can prove properties that random testing alone cannot, while avoiding the complexity of abstract interpretation. The document outlines applications of random interpretation to problems involving linear arithmetic, uninterpreted functions, and interprocedural analysis. Experimental results suggest randomized algorithms can discover more program properties than deterministic ones, while having only a small performance overhead.
The document describes several Adobe interview test papers that the author took. It provides examples of questions asked in sections on coding (C/Java), data structures, algorithms, quantitative aptitude, and logical reasoning. Some example questions include finding the fourth smallest element in a binary search tree, reversing a linked list, checking if all computers are connected in a network, and problems involving arithmetic, triangles, and pie charts. The tests focused on fundamental concepts in coding, data structures, algorithms, and math.
Random numo Galois Field
Polynomial Arithmetic
Example of Polynomial Arithmetic
bers, its types and usage.
TRNG, PRNG, CHPRNG
Review of BBS
Stream Ciphering
RC4 algorithm
Basic Number Theory
Extended Euclidean Algorithm
Relevance of Extended Euclidean Algorithm
Understand the expression problem
See Haskell and Scala code illustrating the problem
Learn how FP typeclasses can be used to solve the problem
See the Haskell solution to the problem and a translation into Scala
Part 2
The document discusses utility classes and static methods. It provides examples of when static methods are appropriate and inappropriate. Static methods are appropriate when they do not operate on a single instance and all data comes from arguments, like Math.max. Static methods should be avoided when there is a chance the method may need to be polymorphic in the future. An example of an inappropriate static method is HourlyPayCalculator.calculatePay, as there may be a need for different calculation algorithms in the future. In general, non-static methods are preferred over static methods and static methods should only be used when polymorphism is not needed.
Solution of N Queens Problem genetic algorithm MohammedAlKazal
Artificial Intelligence
Supervised by
Dr. Fawzia R.
Mosul university
Computer Sciences Department
Masters Students 2018 - 2019
Mohammed Al-Gazal
and
Aalaa Alrashidy
Muna Mohammah Saeed
Mustafa Ameen
Mayada Al-Obaidy
The document provides an overview of key Python concepts including variables, data types, operators, formatting numbers, and taking user input. It explains that variables store values in memory and have naming rules. The main data types are int, float, and string, and numbers can be formatted using specifiers like .2f. Operators allow mathematical operations and comparisons, while input() reads user keyboard input as a string.
1. Recursion is a programming technique where a method calls itself to solve smaller instances of the same problem. This document discusses examples of using recursion to calculate triangular numbers, factorials, binary search, and the Towers of Hanoi puzzle.
2. Mergesort is presented as a recursive algorithm for sorting an array. It works by recursively splitting the array in half and merging the sorted halves.
3. Various examples of Java programs are provided that implement recursive solutions to problems like calculating triangular numbers, factorials, binary search, Towers of Hanoi, and mergesort.
Introduction to Function and there typesImdad Ul Haq
This document discusses functions and their types. It defines a function as a rule that maps an input number to a unique output number. It provides examples of functions, such as f(x) = x + 3. It explains that the input number is called the argument of the function. It discusses how to determine if a function is valid by checking if it maps each input to only one output. It also discusses restricting the domain of a function to make it valid, such as only allowing non-negative inputs for the square root function.
Cs6402 design and analysis of algorithms may june 2016 answer keyappasami
The document discusses algorithms and complexity analysis. It provides Euclid's algorithm for computing greatest common divisor, compares the orders of growth of n(n-1)/2 and n^2, and describes the general strategy of divide and conquer methods. It also defines problems like the closest pair problem, single source shortest path problem, and assignment problem. Finally, it discusses topics like state space trees, the extreme point theorem, and lower bounds.
QUESTION BANK FOR ANNA UNNIVERISTY SYLLABUSJAMBIKA
first of all i am very happy that the only university that keeps its blog updated. the habit of using algorithm analysis to justify design decisions when you write implement new algorithms and to compare the experimental performance .
IA Personalized Portfolio Solution (PPS) PresentationJeff Diercks
The document describes Personalized Portfolio Solutions (PPS), an investment strategy offered by Intrust Advisors that aims to maximize returns in rising markets while protecting assets in falling markets. PPS constructs customized portfolios of low-cost ETFs tailored to a client's risk tolerance. It seeks to fully participate in bull markets and move to cash in bear markets. Analysis shows PPS outperformed a simple buy-and-hold strategy of the Russell 3000 index over the past 25 years with higher returns, lower risk, and fewer losses during market downturns.
The document discusses how a film targeted a 16-25 demographic by featuring a main character and actress of the same age. Locations like a café were used because they are familiar places the target audience frequents. The cliffhanger opening shows the character stealing money and being locked in a freezer, intriguing audiences about whether she is victim or villain. Overall, the narrative is accessible to the target demographic despite being less complex than films aimed at adults.
This document discusses implementing merge sort. It begins with an introduction to merge sort and the divide and conquer approach. It then reviews two relevant literature sources, one on applying formal model merging to class diagram integration and resolving conflicts, and another on a heuristic and pattern-based approach to merge sort to reduce computational complexity. The document also presents an illustration of how merge sort works and discusses resolving inconsistencies that can arise when combining partial models from different use cases.
The document discusses recursion and provides examples of recursive algorithms and code implementations. It defines recursion as a function calling itself directly or indirectly. Examples given include computing factorials recursively and calculating the sum of digits of a number recursively. Algorithms are presented for checking if a number is prime recursively and calculating the sum of the first N natural numbers recursively. Code snippets are included to demonstrate recursive implementations in C.
Binary search is an algorithm that searches for a value in a sorted list by repeatedly eliminating half of the list from consideration. It examines the middle element of the search area and eliminates the upper half if it is smaller than the target or the lower half if it is larger. This process repeats with the narrowed search area until the target is found or the entire area is eliminated. Binary search runs in O(log N) time as it cuts the search space in half each step. Java provides Arrays.binarySearch and Collections.binarySearch methods to perform binary searches on arrays and lists.
This document provides an overview and review of key concepts in precalculus that are important for success in Calculus I, including:
- Functions and function notation. Key points are that a function assigns a single output to each input, and function notation (e.g. f(x)) represents the output of a function given a specific input.
- Finding roots of functions by setting the function equal to zero and solving.
- Composition of functions, where the output of one function becomes the input of another. The order of functions in composition matters.
- Other topics like inverse functions, trigonometric functions, exponentials and logarithms are also reviewed at a high level.
The document
The document discusses the binary search algorithm. It begins by outlining the advantages of binary search over linear search for large arrays: it is more efficient and only requires a sorted array. It then provides details on how binary search works by repeatedly dividing the search space in half based on comparisons between the search key and the middle element. Pseudocode is included showing how binary search uses three variables - first, last, and middle - to mark the current search subarray and returns the index if found or -1 if not found. An example program demonstrates using binary search to look up names and phone numbers from sorted arrays.
The document discusses several common sorting algorithms: bubble sort, selection sort, insertion sort, merge sort, and quick sort. Bubble sort works by scanning an array from left to right, swapping adjacent elements that are out of order. Selection sort finds the smallest element, swaps it into the first position, then repeats to find the next smallest. Insertion sort inserts new elements into the correct position in a sorted array. Merge sort divides an array in half, sorts the halves, and merges them back together. Quick sort chooses a pivot element and partitions the array into sub-arrays based on element values relative to the pivot.
This document discusses program analysis using random interpretation. It introduces random interpretation as a new class of program analyses that is almost as simple and efficient as random testing, but also almost as sound as abstract interpretation. Random interpretation works by choosing random inputs, executing both branches of conditionals, combining variable values at joins, and testing assertions. Examples are provided to illustrate how random interpretation can prove properties that random testing alone cannot, while avoiding the complexity of abstract interpretation. The document outlines applications of random interpretation to problems involving linear arithmetic, uninterpreted functions, and interprocedural analysis. Experimental results suggest randomized algorithms can discover more program properties than deterministic ones, while having only a small performance overhead.
The document describes several Adobe interview test papers that the author took. It provides examples of questions asked in sections on coding (C/Java), data structures, algorithms, quantitative aptitude, and logical reasoning. Some example questions include finding the fourth smallest element in a binary search tree, reversing a linked list, checking if all computers are connected in a network, and problems involving arithmetic, triangles, and pie charts. The tests focused on fundamental concepts in coding, data structures, algorithms, and math.
Random numo Galois Field
Polynomial Arithmetic
Example of Polynomial Arithmetic
bers, its types and usage.
TRNG, PRNG, CHPRNG
Review of BBS
Stream Ciphering
RC4 algorithm
Basic Number Theory
Extended Euclidean Algorithm
Relevance of Extended Euclidean Algorithm
Understand the expression problem
See Haskell and Scala code illustrating the problem
Learn how FP typeclasses can be used to solve the problem
See the Haskell solution to the problem and a translation into Scala
Part 2
The document discusses utility classes and static methods. It provides examples of when static methods are appropriate and inappropriate. Static methods are appropriate when they do not operate on a single instance and all data comes from arguments, like Math.max. Static methods should be avoided when there is a chance the method may need to be polymorphic in the future. An example of an inappropriate static method is HourlyPayCalculator.calculatePay, as there may be a need for different calculation algorithms in the future. In general, non-static methods are preferred over static methods and static methods should only be used when polymorphism is not needed.
Solution of N Queens Problem genetic algorithm MohammedAlKazal
Artificial Intelligence
Supervised by
Dr. Fawzia R.
Mosul university
Computer Sciences Department
Masters Students 2018 - 2019
Mohammed Al-Gazal
and
Aalaa Alrashidy
Muna Mohammah Saeed
Mustafa Ameen
Mayada Al-Obaidy
The document provides an overview of key Python concepts including variables, data types, operators, formatting numbers, and taking user input. It explains that variables store values in memory and have naming rules. The main data types are int, float, and string, and numbers can be formatted using specifiers like .2f. Operators allow mathematical operations and comparisons, while input() reads user keyboard input as a string.
1. Recursion is a programming technique where a method calls itself to solve smaller instances of the same problem. This document discusses examples of using recursion to calculate triangular numbers, factorials, binary search, and the Towers of Hanoi puzzle.
2. Mergesort is presented as a recursive algorithm for sorting an array. It works by recursively splitting the array in half and merging the sorted halves.
3. Various examples of Java programs are provided that implement recursive solutions to problems like calculating triangular numbers, factorials, binary search, Towers of Hanoi, and mergesort.
Introduction to Function and there typesImdad Ul Haq
This document discusses functions and their types. It defines a function as a rule that maps an input number to a unique output number. It provides examples of functions, such as f(x) = x + 3. It explains that the input number is called the argument of the function. It discusses how to determine if a function is valid by checking if it maps each input to only one output. It also discusses restricting the domain of a function to make it valid, such as only allowing non-negative inputs for the square root function.
Cs6402 design and analysis of algorithms may june 2016 answer keyappasami
The document discusses algorithms and complexity analysis. It provides Euclid's algorithm for computing greatest common divisor, compares the orders of growth of n(n-1)/2 and n^2, and describes the general strategy of divide and conquer methods. It also defines problems like the closest pair problem, single source shortest path problem, and assignment problem. Finally, it discusses topics like state space trees, the extreme point theorem, and lower bounds.
QUESTION BANK FOR ANNA UNNIVERISTY SYLLABUSJAMBIKA
first of all i am very happy that the only university that keeps its blog updated. the habit of using algorithm analysis to justify design decisions when you write implement new algorithms and to compare the experimental performance .
IA Personalized Portfolio Solution (PPS) PresentationJeff Diercks
The document describes Personalized Portfolio Solutions (PPS), an investment strategy offered by Intrust Advisors that aims to maximize returns in rising markets while protecting assets in falling markets. PPS constructs customized portfolios of low-cost ETFs tailored to a client's risk tolerance. It seeks to fully participate in bull markets and move to cash in bear markets. Analysis shows PPS outperformed a simple buy-and-hold strategy of the Russell 3000 index over the past 25 years with higher returns, lower risk, and fewer losses during market downturns.
The document discusses how a film targeted a 16-25 demographic by featuring a main character and actress of the same age. Locations like a café were used because they are familiar places the target audience frequents. The cliffhanger opening shows the character stealing money and being locked in a freezer, intriguing audiences about whether she is victim or villain. Overall, the narrative is accessible to the target demographic despite being less complex than films aimed at adults.
The document provides advice on key elements to consider when writing a short screenplay. It discusses the importance of the protagonist and having a clear active question that drives the action. It also addresses who or what opposes the protagonist and ensuring the story is told from a specific point of view. Additional elements covered include establishing the theme, and selecting an appropriate style and tone for the film.
I forum 2014 "Оптимизация - не всегда весело, но помогает пережить кризис. Ка...Yaware
Доклад основателя компании Yaware Савчишина Руслана на конференции iForum 2014. Тема:"Оптимизация - не всегда весело но помогает пережить кризис. Как оптимизировать правильно"
WeeHands was founded in 2001 by Sara Bingham to teach parents and educators how to communicate with babies and young children using sign language. Using sign language with young children can improve reading skills, increase communication before speech develops, and teach social skills. WeeHands offers products like The Baby Signing Book and WeeHands At Home DVD to teach parents American Sign Language signs. They also have over 80 certified instructors who teach sign language classes across North America.
The document summarizes primary research results about soap operas. It asked participants questions about common soap opera storylines (relationships and murder), characters (strong female characters), target audiences (females and working class aged 30-60 who find escapism and can relate to the situations), and how to make a soap opera appealing to those who normally do not like the genre (aim for primetime and an engaging trailer). The research provides insights into soap opera tropes and audiences to help develop a new soap opera.
The document discusses plans for the second draft of an opening sequence for a thriller film. It summarizes revisions made to the script, character, location, and other elements based on feedback from the first draft. Titles will be added between scenes in the opening sequence to build suspense. The font and colors used for the titles will be unexpected to intrigue audiences.
This document contains messages from friends and acquaintances of Laura from around the world wishing her a happy birthday and apologizing for not being able to attend her surprise party. The messages are from locations including Pattaya, Thailand; Hawaii; California; Tokyo, Japan; and Martinborough, New Zealand. The friends express regret for missing the celebration and look forward to seeing Laura in the future.
El documento presenta el syllabus de la asignatura Informática II de la Carrera de Enfermería de la Universidad Técnica de Machala. El syllabus describe los objetivos generales y específicos de la asignatura, su estructura organizada en cuatro unidades temáticas, y el programa de actividades detallando los contenidos y estrategias de aprendizaje a lo largo de las 15 semanas que dura el curso. La asignatura busca que los estudiantes adquieran habilidades para utilizar herramientas web, ofimáticas y de seguridad
Este documento es una carta escrita por un hombre a su esposa Sara. En la carta, el hombre confiesa haber tenido una amante en el pasado de quien aún guarda recuerdos y sentimientos. Describe haber recordado apasionadamente a su amante mientras leía el periódico una mañana, hasta que Sara descubrió las notas que su amante le había escrito. Esto llevó a que la relación entre el hombre y su esposa Sara se deteriorara y ahora sólo pueden comunicarse a través de cartas.
This document is a mind map and research for a TV magazine front cover created by Chris Jacobs. It summarizes the codes and conventions of soap opera magazines, including common mastheads, headlines, images, and content about other soap operas. The mind map concludes that Jacobs will need to purchase an existing soap magazine to fully understand the genre's conventions and will use Photoshop and Fireworks to design the magazine cover professionally.
Lord of eternity, mystery behind the veil. Lord over Heaven and earth, God of Israel. Come with Your wisdom and power, clothed in Your honor and strength. Lord hear the cry of our hearts, come, O conquering King. And every eye will see Your glory fill the sky. Adonai Adonai. Every knee will bow to You Lord Most High. Adonai Adonai, You alone are God every tongue will cry.
El Parkinson es un trastorno neurológico que afecta las células nerviosas en el cerebro que controlan los movimientos musculares. Las neuronas que producen dopamina mueren o no funcionan bien, lo que causa síntomas como temblores, rigidez y dificultad para caminar. No tiene cura, pero los síntomas se pueden controlar con medicamentos como la levodopa y fisioterapia.
This document discusses conditional statements in Python. It introduces if, if-else, and if-elif-else constructs for decision making. Logical operators like and and or are also covered. The ternary operator provides another way to write conditional expressions. The get construct allows implementing conditional logic similar to a switch statement using dictionaries. Examples demonstrate taking input from the user and validating it, finding the greatest of three numbers, and conditionally executing code based on dictionary lookups. Proper indentation is emphasized as it determines code blocks in Python.
This document discusses expressions in Scheme. It defines an expression as a syntactic element that has a value. Expressions may be primitives like numbers or Booleans, or application expressions that apply procedures to operands. Application expressions allow complex expressions to be built from simpler ones. The document provides examples of primitive expressions and describes how application expressions are evaluated by breaking them down into their component expressions according to the grammar rules.
This document discusses Runge-Kutta methods for solving differential equations numerically. It begins with an overview of Euler's method and its errors, then introduces higher-order Runge-Kutta methods. The document derives a second-order Runge-Kutta method called the improved Euler's method and provides exercises to find other second-order methods and use the improved Euler's method to approximate a solution.
The document discusses control statements in C programming. It covers various selection statements like if, if-else, switch as well as iteration statements like for, while, do-while loops. Nested loops and special control statements like break, continue and goto are also explained. Operators used in control statements like relational, logical, assignment operators are defined along with examples. The different types of loops and their usages to control program flow are demonstrated.
Discrete structure ch 3 short question'shammad463061
An algorithm is a finite sequence of precise instructions for performing a computation or solving a problem. There are several key properties of algorithms including that they must have defined input and output, be definite with precisely defined steps, be correct in producing the right output, and be finite so they terminate in a finite number of steps. Different algorithms are analyzed based on their time and space complexity, with a focus on worst-case complexity. Common algorithms include searching, sorting, and algorithms for solving optimization problems. Determining the complexity of algorithms and whether problems can be solved in polynomial time is important for understanding what problems are tractable or intractable.
The document discusses the characteristics of algorithms and the concept of mathematical expectation in average case analysis. It then provides the pseudocode for the MaxMin algorithm and discusses the greedy knapsack algorithm and the travelling salesman problem. Finally, it explains the sum of subsets problem, describing two formulations and how the solution space can be organized into trees.
The document discusses MATLAB commands and operators for relational operations, logical operations, if/else statements, for/while loops, and basic I/O commands. It also provides examples using these commands to solve problems such as generating matrices, determining the number of consecutive integers that sum to a value, and getting user input to check an age value.
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i. The linear convolution of two sequences was calculated using the conv command in MATLAB. The input sequences, individual sequences, and convolved output were plotted.
ii. Linear convolution was also calculated using the DFT and IDFT. The sequences were padded with zeros and transformed to the frequency domain using FFT. The transformed sequences were multiplied and inverse transformed using IFFT to obtain the circular convolution result.
iii. The circular convolution result using DFT/IDFT was the same as the linear convolution using the conv command, demonstrating the equivalence between linear and circular convolution in the frequency domain.
This lab manual covers MATLAB and digital signal processing concepts. It includes:
1) An introduction to MATLAB including basic commands, functions, vectors, matrices and operations.
2) Digital signal processing concepts like sampling, discrete time signals, linear convolution using the conv command are explained.
3) Experiments are included to verify the sampling theorem and study linear convolution of sequences.
The document discusses different types of loops in Python including while loops, for loops, and infinite loops. It provides examples of using while loops to iterate until a condition is met, using for loops to iterate over a set of elements when the number of iterations is known, and how to terminate loops early using break or skip iterations using continue. It also discusses using the range() function to generate a sequence of numbers to iterate over in for loops.
The document discusses the different types of operators used in the C programming language, including arithmetic, relational, logical, assignment, increment/decrement, conditional, and bitwise operators. It explains what each operator does, its symbol and syntax, and provides examples of how each operator is used. Operators are symbols that allow programmers to perform mathematical, logical, or other operations on data in C programs.
Logarithms are used to replace multiplication with addition and division with subtraction. They allow calculations with large numbers to be simplified. There are three main laws of logarithms: 1) the logarithm of a product is equal to the sum of the logarithms of the factors, 2) the logarithm of a power is the power multiplied by the logarithm of the number, and 3) the logarithm of a quotient is equal to the logarithm of the dividend minus the logarithm of the divisor. Logarithms are commonly written to bases 10 and e, known as common logarithms and natural logarithms.
Logarithms are used to replace multiplication with addition and division with subtraction. They allow calculations with large numbers to be simplified. There are three main laws of logarithms: 1) the logarithm of a product is equal to the sum of the logarithms of the factors, 2) the logarithm of a power is the power multiplied by the logarithm of the number, and 3) the logarithm of a quotient is equal to the logarithm of the dividend minus the logarithm of the divisor. Logarithms are commonly written to bases 10 and e, known as common logarithms and natural logarithms.
18 css101j pps unit 2
Relational and logical Operators - Condition Operators, Operator Precedence - Expressions with pre / post increment operator - Expression with conditional and assignment operators - If statement in expression - L value and R value in expression -
Control Statements – if and else - else if and nested if, switch case - Iterations, Conditional and Unconditional branching
For loop - while loop - do while, goto, break, continue
Array Basic and Types - Array Initialization and Declaration - Initialization: one Dimensional Array - Accessing, Indexing one Dimensional Array Operations - One Dimensional Array operations - Array Programs – 1D
This document summarizes Chapter 5 of the book "C Programming: A Modern Approach" regarding selection statements in C. It discusses logical expressions using relational and equality operators that return true or false values. It then covers the if statement for conditional execution, including else clauses, nested if statements, and conditional expressions. Finally, it discusses the switch statement as an alternative to nested if statements for selecting among multiple possible cases.
This document contains examples of using for loops and while loops in MATLAB. It begins with examples of summing prime numbers, duplicating vector elements, and converting a for loop to a while loop. It then provides more examples of using loops to calculate interest, convert a matrix to a vector, print patterns of stars, and find twin prime numbers. It discusses the importance of efficiency in MATLAB and compares loop-based approaches to vectorized solutions.
The C programming language was created in 1972 at Bell Labs by Dennis Ritchie. It is a high-level, structured programming language that incorporates features of low-level languages like assembly. C programs use header files, variables, operators, input/output functions, and control statements like if/else and loops. Keywords, data types, and functions make C a flexible yet efficient language used widely in software development.
The document discusses the simplex algorithm for solving linear programming problems. It begins with an introduction and overview of the simplex algorithm. It then describes the key steps of the algorithm, which are: 1) converting the problem into slack format, 2) constructing the initial simplex tableau, 3) selecting the pivot column and calculating the theta ratio to determine the departing variable, 4) pivoting to create the next tableau. The document provides examples to illustrate these steps. It also briefly discusses cycling issues, software implementations, efficiency considerations and variants of the simplex algorithm.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
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.
AI-Powered Food Delivery Transforming App Development in Saudi Arabia.pdfTechgropse Pvt.Ltd.
In this blog post, we'll delve into the intersection of AI and app development in Saudi Arabia, focusing on the food delivery sector. We'll explore how AI is revolutionizing the way Saudi consumers order food, how restaurants manage their operations, and how delivery partners navigate the bustling streets of cities like Riyadh, Jeddah, and Dammam. Through real-world case studies, we'll showcase how leading Saudi food delivery apps are leveraging AI to redefine convenience, personalization, and efficiency.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
CAKE: Sharing Slices of Confidential Data on BlockchainClaudio Di Ciccio
Presented at the CAiSE 2024 Forum, Intelligent Information Systems, June 6th, Limassol, Cyprus.
Synopsis: Cooperative information systems typically involve various entities in a collaborative process within a distributed environment. Blockchain technology offers a mechanism for automating such processes, even when only partial trust exists among participants. The data stored on the blockchain is replicated across all nodes in the network, ensuring accessibility to all participants. While this aspect facilitates traceability, integrity, and persistence, it poses challenges for adopting public blockchains in enterprise settings due to confidentiality issues. In this paper, we present a software tool named Control Access via Key Encryption (CAKE), designed to ensure data confidentiality in scenarios involving public blockchains. After outlining its core components and functionalities, we showcase the application of CAKE in the context of a real-world cyber-security project within the logistics domain.
Paper: https://doi.org/10.1007/978-3-031-61000-4_16
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
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.
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 his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
Things to Consider When Choosing a Website Developer for your Website | FODUUFODUU
Choosing the right website developer is crucial for your business. This article covers essential factors to consider, including experience, portfolio, technical skills, communication, pricing, reputation & reviews, cost and budget considerations and post-launch support. Make an informed decision to ensure your website meets your business goals.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.