The document defines functions for mapping, filtering, reducing and other common functional operations on lists, vectors and maps in Clojure. It defines functions like vmap to map a function over a vector, filter to filter a collection based on a predicate function, and vreduce to reduce a vector using a function. It also defines some predicate functions like tiene-dos-elementos? to check if a collection has two elements. Examples are provided applying these functions to sample inputs.
(1) This document discusses random variables and stochastic processes. It defines key concepts such as random variables, probability mass functions, cumulative distribution functions, discrete and continuous random variables.
(2) It provides examples of defining random variables for experiments involving coin tosses and ball drawings. It illustrates how to determine the probability mass function and cumulative distribution function of discrete random variables.
(3) The document also discusses continuous random variables and their probability density functions. It introduces the concepts of joint probability distributions for two random variables and how to find marginal and conditional probabilities.
The Ring programming language version 1.7 book - Part 57 of 196Mahmoud Samir Fayed
This document provides documentation for a Super Man game created with the Ring game engine. It includes the code for game objects like sprites, maps, and text displays. The player controls a Superman sprite to collect stars and keys while avoiding enemy sprites. The game ends if the player runs out of energy or reaches the exit.
- The document discusses random number generation and probability distributions. It presents methods for generating random numbers from Bernoulli, binomial, beta, and multinomial distributions using random bits generated from linear congruential generators.
- Graphical examples are shown comparing histograms of generated random samples to theoretical probability density functions. Code examples in R demonstrate how to simulate random number generation from various discrete distributions.
- The goal is to introduce different methods for random number generation from basic discrete distributions that are important for modeling random phenomena and Monte Carlo simulations.
(1) This document provides formulas for integrals of common functions including polynomials, rational functions, radicals, and trigonometric functions.
(2) The integrals are organized into sections based on the type of function, such as basic forms, integrals with roots, and rational functions.
(3) Over 30 different integral formulas are provided in a table format with the integral given and its solution. This allows for easy reference to the antiderivatives of standard functions.
This document provides an overview of mathematical functions in MATLAB, including:
1) Common math functions such as absolute value, rounding, floor/ceiling, exponents, logs, and trigonometric functions.
2) How to write custom functions and use programming constructs like if/else statements and for loops.
3) Data analysis functions including statistics and histograms.
4) Complex number representation and basic complex functions in MATLAB.
(1) This document discusses random variables and stochastic processes. It defines key concepts such as random variables, probability mass functions, cumulative distribution functions, discrete and continuous random variables.
(2) It provides examples of defining random variables for experiments involving coin tosses and ball drawings. It illustrates how to determine the probability mass function and cumulative distribution function of discrete random variables.
(3) The document also discusses continuous random variables and their probability density functions. It introduces the concepts of joint probability distributions for two random variables and how to find marginal and conditional probabilities.
The Ring programming language version 1.7 book - Part 57 of 196Mahmoud Samir Fayed
This document provides documentation for a Super Man game created with the Ring game engine. It includes the code for game objects like sprites, maps, and text displays. The player controls a Superman sprite to collect stars and keys while avoiding enemy sprites. The game ends if the player runs out of energy or reaches the exit.
- The document discusses random number generation and probability distributions. It presents methods for generating random numbers from Bernoulli, binomial, beta, and multinomial distributions using random bits generated from linear congruential generators.
- Graphical examples are shown comparing histograms of generated random samples to theoretical probability density functions. Code examples in R demonstrate how to simulate random number generation from various discrete distributions.
- The goal is to introduce different methods for random number generation from basic discrete distributions that are important for modeling random phenomena and Monte Carlo simulations.
(1) This document provides formulas for integrals of common functions including polynomials, rational functions, radicals, and trigonometric functions.
(2) The integrals are organized into sections based on the type of function, such as basic forms, integrals with roots, and rational functions.
(3) Over 30 different integral formulas are provided in a table format with the integral given and its solution. This allows for easy reference to the antiderivatives of standard functions.
This document provides an overview of mathematical functions in MATLAB, including:
1) Common math functions such as absolute value, rounding, floor/ceiling, exponents, logs, and trigonometric functions.
2) How to write custom functions and use programming constructs like if/else statements and for loops.
3) Data analysis functions including statistics and histograms.
4) Complex number representation and basic complex functions in MATLAB.
A Lens is a functional concept which solves a very common problem: how to update a complex immutable structure. This is probably the reason why Lenses are relatively well known in functional programming languages such as Haskell or Scala. However, there are far less resources available on the generalization of Lenses known as "optics".
In this slides, I would like to go through a few of these optics namely Iso, Prism and Optional, by showing how they relate to each other as well as how to use optics in a day to day programming job.
The Ring programming language version 1.5.2 book - Part 35 of 181Mahmoud Samir Fayed
This document summarizes the key classes and methods in the Ring programming language documentation. It describes classes for strings, lists, stacks, queues, hash tables, trees and math functions. For each class it lists parent classes and example methods with brief descriptions of functionality. An example usage section demonstrates the methods on various classes.
The Ring programming language version 1.5.4 book - Part 36 of 185Mahmoud Samir Fayed
This document provides documentation on Ring programming language classes and methods, including List, Stack, Queue, HashTable, Tree, Math, and DateTime classes. It describes the purpose and usage of each class and its methods, and provides examples of how to use the classes and methods.
This document discusses matrix representations of linear transformations and changes of basis in linear algebra. It defines the matrix associated with a linear transformation with respect to two bases and introduces the change of basis matrices. It provides examples of finding the matrix associated with a linear transformation, the change of basis matrices between two bases, and using the change of basis matrices to transform component representations of a vector between bases.
1) The document defines the derivative and provides examples of calculating the derivative of algebraic functions using the definition and rules of derivatives.
2) Rules are given for finding the derivative of sums, products, quotients, and compositions of functions.
3) Examples are worked out for finding the derivatives of polynomials, rational functions, products, quotients, sums and compositions of functions.
This document contains a large collection of mathematical expressions, equations, and sets. Some key points:
- It includes expressions like n(A), n(B), n[(A-B)(B-A)], and n(A × B) with various values.
- There are several equations set equal to values, such as x2 - 3x < 0, -2 < log < -1, and equations containing sums, integrals, and logarithms.
- Sets are defined containing various elements like numbers, vectors, and functions.
The document provides exercises on calculating derivatives using various rules including the sum and difference rule, product rule, and quotient rule. It includes 15 problems calculating derivatives of given functions and finding numerical derivatives at given values. The answers provide the step-by-step work to arrive at the derivatives using the appropriate rules.
The Ring programming language version 1.5.1 book - Part 51 of 180Mahmoud Samir Fayed
This document provides instructions for building RingLibSDL games for Android. It outlines downloading the necessary requirements like the Android SDK and NDK. It describes the project folder structure, noting that source code and assets should be added to the assets folder. Finally, it provides the commands to build ("ndk-build") and create an APK package ("ant debug") from the project folder.
1) The document defines a cooperative game model and solution concepts for allocating value to players. It provides formal definitions for the characteristic function v(S) representing the worth of coalition S, and the Shapley value sij(x) comparing players i and j.
2) An example cooperative game is presented with 3 players and characteristic function values defined for various coalitions. The set of feasible allocations C(v) is specified.
3) For the example game, expressions are derived for the Shapley values sij(x) comparing each pair of players over allocations in C(v).
The document discusses functional programming concepts in Scala including pure functions, referential transparency, algebraic data types, immutable linked lists, list folding, option types, higher order functions, and random number generation. It provides code examples for implementing immutable linked lists with pattern matching, list folding with foldLeft and foldRight, mapping, filtering and flatMapping lists, and defining monads and functors in Scala.
Leet Code May Coding Challenge - DataStructure and Algorithm ProblemsSunil Yadav
The document provides coding challenges and their solutions for a May coding challenge. It includes problems such as finding the first bad version, counting jewels in stones, checking if a ransom note can be constructed from magazines, finding the majority element, checking if nodes are cousins in a binary tree, determining if points make a straight line, checking if a number is a perfect square, finding the town judge, flood filling an image, finding the single element in a sorted array, removing K digits from a number, and implementing a trie with various methods. Solutions are provided in Java, C++ and other languages using techniques like recursion, hashing, sorting and binary search.
This document provides a table of common derivative rules for basic functions like polynomials, exponentials, logarithms, and trigonometric functions. It includes the derivative rules and examples of applying each rule. It then lists 100 specific functions and states that the goal is to take the derivative of each using the rules from the table.
This document contains an exercise set with 46 problems involving real numbers, intervals, and inequalities. The problems cover topics such as determining whether numbers are rational or irrational, solving equations, graphing inequalities on number lines, factoring polynomials, and solving compound inequalities.
This document provides information about LeetCode coding challenges for the month of April. It includes the problem statements and solutions for 6 coding challenges - Single Number, Happy Number, Maximum Subarray, Move Zeroes, Best Time to Buy and Sell Stock II, and Group Anagrams. It also provides links to the author's LeetCode, GitHub, LinkedIn and HackerRank profiles. The challenges are part of Week 1 and Week 2 of the April coding challenge.
Likelihood is sometimes difficult to compute because of the complexity of the model. Approximate Bayesian computation (ABC) makes it easy to sample parameters generating approximation of observed data.
The document discusses program derivation and efficient programs. It covers topics like algorithm specification, correctness through verification, program construction through derivation and synthesis. It also covers concepts like foldr, foldl, list homomorphisms, and program fusion. Foldr and foldl are defined for recursively processing lists. Foldr processes the list from right to left, while foldl processes it from left to right. Program fusion techniques like map-fusion and foldr-fusion are discussed to improve efficiency by fusing together compositions of functions like map and foldr.
Pengolahan Data Panel Logit di Stata: Penilaian Goodness of Fit, Uji Model, d...The1 Uploader
panel data regression in stata with tests of classical assumptions violation
goodness of fit
pooled least square
fixed effect
random effect
logit
panel logit
The document discusses operations that can be performed on functions, including addition, subtraction, multiplication, and division. Definitions of each operation are provided, along with examples of applying the operations to specific functions. Addition of functions involves adding the outputs of each function, subtraction involves subtracting the outputs, multiplication involves multiplying the outputs, and division involves dividing the outputs given the denominator function is not equal to 0. Several examples are worked through applying the different operations to functions like f(x)=2x and g(x)=-x+5. The examples also demonstrate evaluating composite functions and restricting domains as needed.
Optics with monocle - Modeling the part and the wholeIlan Godik
Functional Programming is based on the concept of using pure functions, which at first sight limit us from various things as I/O, mutation - change and throwing exceptions - dealing with errors or uncertainty.
Optics help us deal with change inside compound structures and with branches (as with error handling), by providing facilities for looking into complex structures, and modifying a part of them, as well as powerful abstractions for composing optics, in order to build even more complex systems.
In this talk, I will introduce some of the optics, as Lenses, Prisms and Isomorphisms, and the motivation behind them, powerful use cases with Polymorphic Optics in Monocle, and if time will allow, explain the interesting representation of Lenses through Van Laarhoven Lenses.
1. The document is a mathematics assignment on differentiation from pages 33-40. It was prepared by 4 students for their 1st semester class at the Polytechnic Manufacturing State University of Bangka Belitung.
2. The assignment contains the solutions to 10 differentiation problems finding the derivatives of various functions.
1. This document provides the solutions to differentiation problems for a group mathematics assignment on pages 33-40 regarding differentiation. It lists the names of the group members and provides the solutions to 10 differentiation problems.
2. The solutions find the derivatives of various functions involving exponents, logarithms, and other operations. Derivatives are found using logarithmic differentiation and power rule.
3. The document is part of a mathematics assignment from the Polytechnic Manufacturing State University of Bangka Belitung in Indonesia for the class and semester noted.
The document describes an optimization problem to allocate resources among a set of items in a way that minimizes excess amounts above predefined valuations for different combinations of items. The problem is formulated as linear constraints with a variable M representing the maximum excess. Solutions are obtained by solving the linear program for different valuations scenarios. The optimal allocation balances minimizing M while satisfying all constraints.
A Lens is a functional concept which solves a very common problem: how to update a complex immutable structure. This is probably the reason why Lenses are relatively well known in functional programming languages such as Haskell or Scala. However, there are far less resources available on the generalization of Lenses known as "optics".
In this slides, I would like to go through a few of these optics namely Iso, Prism and Optional, by showing how they relate to each other as well as how to use optics in a day to day programming job.
The Ring programming language version 1.5.2 book - Part 35 of 181Mahmoud Samir Fayed
This document summarizes the key classes and methods in the Ring programming language documentation. It describes classes for strings, lists, stacks, queues, hash tables, trees and math functions. For each class it lists parent classes and example methods with brief descriptions of functionality. An example usage section demonstrates the methods on various classes.
The Ring programming language version 1.5.4 book - Part 36 of 185Mahmoud Samir Fayed
This document provides documentation on Ring programming language classes and methods, including List, Stack, Queue, HashTable, Tree, Math, and DateTime classes. It describes the purpose and usage of each class and its methods, and provides examples of how to use the classes and methods.
This document discusses matrix representations of linear transformations and changes of basis in linear algebra. It defines the matrix associated with a linear transformation with respect to two bases and introduces the change of basis matrices. It provides examples of finding the matrix associated with a linear transformation, the change of basis matrices between two bases, and using the change of basis matrices to transform component representations of a vector between bases.
1) The document defines the derivative and provides examples of calculating the derivative of algebraic functions using the definition and rules of derivatives.
2) Rules are given for finding the derivative of sums, products, quotients, and compositions of functions.
3) Examples are worked out for finding the derivatives of polynomials, rational functions, products, quotients, sums and compositions of functions.
This document contains a large collection of mathematical expressions, equations, and sets. Some key points:
- It includes expressions like n(A), n(B), n[(A-B)(B-A)], and n(A × B) with various values.
- There are several equations set equal to values, such as x2 - 3x < 0, -2 < log < -1, and equations containing sums, integrals, and logarithms.
- Sets are defined containing various elements like numbers, vectors, and functions.
The document provides exercises on calculating derivatives using various rules including the sum and difference rule, product rule, and quotient rule. It includes 15 problems calculating derivatives of given functions and finding numerical derivatives at given values. The answers provide the step-by-step work to arrive at the derivatives using the appropriate rules.
The Ring programming language version 1.5.1 book - Part 51 of 180Mahmoud Samir Fayed
This document provides instructions for building RingLibSDL games for Android. It outlines downloading the necessary requirements like the Android SDK and NDK. It describes the project folder structure, noting that source code and assets should be added to the assets folder. Finally, it provides the commands to build ("ndk-build") and create an APK package ("ant debug") from the project folder.
1) The document defines a cooperative game model and solution concepts for allocating value to players. It provides formal definitions for the characteristic function v(S) representing the worth of coalition S, and the Shapley value sij(x) comparing players i and j.
2) An example cooperative game is presented with 3 players and characteristic function values defined for various coalitions. The set of feasible allocations C(v) is specified.
3) For the example game, expressions are derived for the Shapley values sij(x) comparing each pair of players over allocations in C(v).
The document discusses functional programming concepts in Scala including pure functions, referential transparency, algebraic data types, immutable linked lists, list folding, option types, higher order functions, and random number generation. It provides code examples for implementing immutable linked lists with pattern matching, list folding with foldLeft and foldRight, mapping, filtering and flatMapping lists, and defining monads and functors in Scala.
Leet Code May Coding Challenge - DataStructure and Algorithm ProblemsSunil Yadav
The document provides coding challenges and their solutions for a May coding challenge. It includes problems such as finding the first bad version, counting jewels in stones, checking if a ransom note can be constructed from magazines, finding the majority element, checking if nodes are cousins in a binary tree, determining if points make a straight line, checking if a number is a perfect square, finding the town judge, flood filling an image, finding the single element in a sorted array, removing K digits from a number, and implementing a trie with various methods. Solutions are provided in Java, C++ and other languages using techniques like recursion, hashing, sorting and binary search.
This document provides a table of common derivative rules for basic functions like polynomials, exponentials, logarithms, and trigonometric functions. It includes the derivative rules and examples of applying each rule. It then lists 100 specific functions and states that the goal is to take the derivative of each using the rules from the table.
This document contains an exercise set with 46 problems involving real numbers, intervals, and inequalities. The problems cover topics such as determining whether numbers are rational or irrational, solving equations, graphing inequalities on number lines, factoring polynomials, and solving compound inequalities.
This document provides information about LeetCode coding challenges for the month of April. It includes the problem statements and solutions for 6 coding challenges - Single Number, Happy Number, Maximum Subarray, Move Zeroes, Best Time to Buy and Sell Stock II, and Group Anagrams. It also provides links to the author's LeetCode, GitHub, LinkedIn and HackerRank profiles. The challenges are part of Week 1 and Week 2 of the April coding challenge.
Likelihood is sometimes difficult to compute because of the complexity of the model. Approximate Bayesian computation (ABC) makes it easy to sample parameters generating approximation of observed data.
The document discusses program derivation and efficient programs. It covers topics like algorithm specification, correctness through verification, program construction through derivation and synthesis. It also covers concepts like foldr, foldl, list homomorphisms, and program fusion. Foldr and foldl are defined for recursively processing lists. Foldr processes the list from right to left, while foldl processes it from left to right. Program fusion techniques like map-fusion and foldr-fusion are discussed to improve efficiency by fusing together compositions of functions like map and foldr.
Pengolahan Data Panel Logit di Stata: Penilaian Goodness of Fit, Uji Model, d...The1 Uploader
panel data regression in stata with tests of classical assumptions violation
goodness of fit
pooled least square
fixed effect
random effect
logit
panel logit
The document discusses operations that can be performed on functions, including addition, subtraction, multiplication, and division. Definitions of each operation are provided, along with examples of applying the operations to specific functions. Addition of functions involves adding the outputs of each function, subtraction involves subtracting the outputs, multiplication involves multiplying the outputs, and division involves dividing the outputs given the denominator function is not equal to 0. Several examples are worked through applying the different operations to functions like f(x)=2x and g(x)=-x+5. The examples also demonstrate evaluating composite functions and restricting domains as needed.
Optics with monocle - Modeling the part and the wholeIlan Godik
Functional Programming is based on the concept of using pure functions, which at first sight limit us from various things as I/O, mutation - change and throwing exceptions - dealing with errors or uncertainty.
Optics help us deal with change inside compound structures and with branches (as with error handling), by providing facilities for looking into complex structures, and modifying a part of them, as well as powerful abstractions for composing optics, in order to build even more complex systems.
In this talk, I will introduce some of the optics, as Lenses, Prisms and Isomorphisms, and the motivation behind them, powerful use cases with Polymorphic Optics in Monocle, and if time will allow, explain the interesting representation of Lenses through Van Laarhoven Lenses.
1. The document is a mathematics assignment on differentiation from pages 33-40. It was prepared by 4 students for their 1st semester class at the Polytechnic Manufacturing State University of Bangka Belitung.
2. The assignment contains the solutions to 10 differentiation problems finding the derivatives of various functions.
1. This document provides the solutions to differentiation problems for a group mathematics assignment on pages 33-40 regarding differentiation. It lists the names of the group members and provides the solutions to 10 differentiation problems.
2. The solutions find the derivatives of various functions involving exponents, logarithms, and other operations. Derivatives are found using logarithmic differentiation and power rule.
3. The document is part of a mathematics assignment from the Polytechnic Manufacturing State University of Bangka Belitung in Indonesia for the class and semester noted.
The document describes an optimization problem to allocate resources among a set of items in a way that minimizes excess amounts above predefined valuations for different combinations of items. The problem is formulated as linear constraints with a variable M representing the maximum excess. Solutions are obtained by solving the linear program for different valuations scenarios. The optimal allocation balances minimizing M while satisfying all constraints.
The document is a mathematics calculus homework assignment in Bahasa Indonesia. It contains 10 calculus problems asking students to find the derivatives of various functions. The functions include exponential functions like f(x) = 20ex, logarithmic functions like g(x) = ln(5x3), and combinations of exponentials, logarithms, and polynomials. The document provides the solutions to each problem in steps showing the use of logarithmic differentiation to find the derivatives.
The document discusses functional programming techniques for refactoring an imperative program that calculates the sum of squares of even numbers up to a given maximum. It shows how to decompose the program into pure, testable functions using recursion and higher-order functions. This makes the program more reusable, composable and easier to test compared to the original mutable, statement-based implementation.
1. The document defines various functions and relations using set-builder and function notation.
2. Examples of linear, quadratic, and polynomial functions are provided with their domain and range restrictions.
3. Common transformations of basic quadratic functions like y=x^2 are demonstrated, such as shifting the graph left or right and changing the sign of coefficients.
The document discusses interpolation, which involves using a function to approximate values between known data points. It provides examples of Lagrange interpolation, which finds a polynomial passing through all data points, and Newton's interpolation, which uses divided differences to determine coefficients for approximating between points. The examples demonstrate constructing Lagrange and Newton interpolation polynomials using given data sets.
λ calculus is a universal model of computation from the 1930s that treats functions anonymously. It can be typed or untyped. Some examples include the identity function λx· x and function application (λx· x)y = y. The document then provides examples of Church encodings for booleans, numbers, subtraction, division/modulus, lists with operations like map and fold, and generating the FizzBuzz sequence in this functional style.
jhkl,l.มือครูคณิตศาสตร์พื้นฐาน ม.4 สสวท เล่ม 2fuyhfgTonn Za
This document summarizes a book titled "The Development of the Thai Language Teaching Materials for Grade 3-4 Students" by Dr. Somchai Srisa-an.
The book was published in 2001 to provide Thai language teaching materials for grades 3-4. It includes 4 chapters, with each chapter focusing on a different grade level (grade 3, chapter 1 and grade 4, chapter 4).
The summary highlights that the book aims to develop Thai language skills for students in grades 3-4 and provides teaching materials tailored to each grade level. It also seeks to appropriately introduce students to the Thai language in order to enhance their language abilities and prepare them for further study.
This document provides an overview of functions and key concepts in calculus and analytic geometry. It defines what a function is, including the domain and range. It describes different types of functions such as polynomial, linear, identity, constant, rational, exponential, and logarithmic functions. Examples are given for each type of function. Key aspects like the vertical line test and graphs of functions are also summarized.
The document defines several functions including f(x), phi(x), F(x), and psi(x). It evaluates these functions at different inputs, expands some functions, and tests various properties like whether functions are even or odd. It demonstrates defining functions using both var() and def, and simplifying expressions. Various outputs are printed to demonstrate the function evaluations and tests.
1) This document provides formulas for integrals of common functions including polynomials, rational functions, radicals, logarithms, trigonometric functions, exponentials, and hyperbolic functions.
2) The integrals are organized into sections based on the type of function, with the formula provided along with conditions on parameters.
3) There are over 100 integrals presented in the table spanning multiple pages of formulas.
DSP_FOEHU - Lec 04 - Discrete-Time Signals and SystemsAmr E. Mohamed
The document discusses a signal (u(n)) and its relationship to another signal (y(n)) through a linear time-invariant system and convolution. It provides equations to describe the output signal (y(n)) in terms of the input signal (u(n)) using concepts such as impulse response (h(n)) and convolution.
The document describes a Haskell program that translates characters in one string to characters in another string. It defines a translate function that maps characters from the first string (set1) to the corresponding characters in the second string (set2). A translateString function applies the translate function to a given string, and the main function gets the set1 and set2 strings from arguments, reads stdin, applies translateString, and writes the result to stdout, catching any errors.
This document discusses different interpolation methods:
- Interpolation finds values of a function between known x-values where the function values are given.
- Newton's forward and backward interpolation formulas are presented along with examples.
- Newton's divided difference interpolation uses a formula involving differences to find interpolating polynomials.
- Langrange's interpolation formula expresses the interpolating polynomial as a linear combination of basis polynomials defined in terms of the x-values. An example computing an interpolated value is shown.
This document provides formulas for integrals of common functions. It includes integrals of polynomials, rational functions, functions with roots, logarithms, exponentials, trigonometric functions, hyperbolic functions, and products of various functions. There are over 100 formulas presented in a table format with the function and integral provided.
The document discusses functional programming concepts like pure functions, immutable data, and avoiding side effects. It compares imperative programming constructs like loops and mutable state to functional alternatives like map, filter, reduce. It argues that a functional style enables better reasoning about programs by avoiding side effects and complex control flow. Specific examples show transforming an imperative loop into a functional map and handling asynchronous code through chained promises or futures. Overall it advocates for a functional programming approach.
Los sistemas de detección de intrusiones (IDS) supervisan pasivamente el tráfico de red sin afectar el flujo de paquetes. Los sistemas de prevención de intrusiones (IPS) operan en línea y pueden detectar y detener ataques al analizar cada paquete antes de que llegue a su destino. Ambos sistemas ayudan a proteger las redes de amenazas internas y externas.
Este documento presenta varios temas de gramática inglesa avanzada. Brevemente describe el uso del pasivo, las palabras "for", "since" y "ago", el presente perfecto, los tiempos verbales para narrar eventos pasados como el pretérito imperfecto y pretérito indefinido, y la especulación y deducción con verbos modales. Proporciona ejemplos para ilustrar cada punto y cita fuentes para más información.
This document lists system calls and their number codes used in Linux. Some key system calls include read, write, open, close, stat, poll, mmap, mprotect, munmap, brk, and exit.
El documento describe el proceso de configurar una base de datos MySQL llamada "congreso" con dos tablas ("administradores" y "estudiantes") para un proyecto de sitio web de congreso estudiantil alojado en GitHub. Incluye instrucciones SQL para crear la base de datos y tablas e insertar datos de prueba. Luego explica cómo acceder al sitio web a través de XAMPP y probar las credenciales de inicio de sesión para administradores y estudiantes.
El documento presenta gramáticas con atributos para evaluar el valor de números enteros y decimales dados por gramáticas, y para verificar que un árbol binario está ordenado mediante el uso de atributos. Se definen reglas semánticas para calcular valores y comprobar el orden de los subárboles en función de los valores de los nodos.
Este documento presenta una gramática para secuencias simplificadas de sentencias y analiza su análisis sintáctico. Construye el DFA LR(0), la tabla SLR(1) y muestra el análisis de la cadena "S;S;S" usando un analizador SLR(1). Finalmente, pregunta si la gramática es LR(0) y cómo podría diferir un análisis LR(0) de uno SLR(1).
The document provides pseudocode for parsing arithmetic expressions using a bottom-up recursive descent parser based on a given grammar. It includes pseudocode for evaluating expressions, handling operators, and matching expected tokens. It also shows the parsing actions for three example arithmetic expressions using a given LL(1) parsing table.
El documento presenta una gramática para expresiones aritméticas y derivaciones por la izquierda y árboles sintácticos abstractos para tres expresiones diferentes según la gramática dada. También incluye declaraciones de tipo C para un árbol sintáctico abstracto correspondiente a otra gramática y un ejemplo de árbol sintáctico para esa gramática. Finalmente, muestra que una solución propuesta para resolver la ambigüedad del else no es efectiva al seguir siendo ambigua.
El documento presenta dos versiones de pseudocódigo para implementar un DFA para comentarios en C. Una versión usa el carácter de entrada como prueba externa y el estado como prueba interna, mientras que la otra hace lo opuesto. El autor preferiría la primera organización si ciertos caracteres de entrada no llevaran directamente al siguiente estado o si hubiera un carácter de escape que moviera a cualquier estado al estado de aceptación.
El documento discute varios temas relacionados con compiladores, incluyendo la generación de árboles sintácticos y de análisis, el número de pasadas que realiza un compilador, y las optimizaciones de incorporación y propagación de constantes.
El documento describe dos algoritmos de búsqueda ciega, DFS y BFS. Explica que ambos algoritmos encontrarían la ruta 7 → 6 → 2 mostrada en rojo en el grafo dado, ya que expanden los nodos en el mismo orden sin importar el algoritmo.
(1) La probabilidad de que dos personas sean hermanos antes de saber su apellido es 0.1.
(2) Si son hermanos, la probabilidad de que tengan el mismo apellido es 0.9. Si no son hermanos, es 0.1.
(3) Usando la fórmula de Bayes, la probabilidad de que sean hermanos dado que tienen el mismo apellido (P(h|s)) es 0.9.
El documento describe varios lenguajes de programación populares para desarrollar aplicaciones móviles, incluyendo Java y Kotlin para Android, Swift y Objective-C para iOS, y lenguajes multiplataforma como JavaScript, TypeScript, C#, C, C++, Python y Ruby.
El documento trata sobre varias tecnologías para bases de datos distribuidas, incluyendo CORBA, DCOM, RMI, Data Mining y OLAP. CORBA permite que objetos escritos en diferentes lenguajes se comuniquen a través de la red de forma transparente. DCOM es una extensión de COM que permite la comunicación de objetos entre máquinas remotas. RMI es una tecnología de Java para permitir la invocación remota de métodos entre objetos distribuidos. Data Mining involucra el uso de técnicas estadísticas y de
Este documento describe los conceptos fundamentales de las transacciones distribuidas, incluyendo las propiedades ACID, los tipos de transacciones, los modelos de estructura de transacciones, y los protocolos y algoritmos relacionados con la confiabilidad, concurrencia y control de réplicas en sistemas distribuidos. También explica los conceptos básicos de commit, abort y rollback en el manejo de transacciones.
El documento describe los desafíos del procesamiento de consultas en ambientes distribuidos en comparación con los ambientes centralizados, como seleccionar los mejores sitios para procesar datos para minimizar los costos de E/S, CPU y comunicación. También discute opciones como optimizar consultas individuales versus múltiples consultas, y cómo factores como la complejidad de operaciones algebraicas, estadísticas de base de datos y tipo de red pueden afectar la optimización.
Índice
Algoritmo de INGRES…………................................................................................................ 1
Algoritmo de System R……………………………………………………………………………………………………… 3
Algoritmo R* ……………………………………………………………………………………………………………………. 5
La fragmentación consiste en dividir una relación global en subconjuntos o fragmentos, donde cada fragmento contiene tuplas con propiedades comunes. Existen dos tipos de fragmentación: horizontal, donde la relación se divide en fragmentos basados en una condición de selección; y vertical, donde los atributos se dividen en grupos y los fragmentos se obtienen proyectando la relación global sobre cada grupo de atributos.
Un sistema cliente/servidor tiene dos partes principales: el servidor o backend que ejecuta el SGBD, y el cliente o frontend que son las aplicaciones que interactúan con el usuario. Los clientes pueden ser aplicaciones creadas por los usuarios o herramientas provistas por el proveedor. El servidor soporta funciones básicas de base de datos y puede ser iterativo o concurrente, procesando consultas de clientes de forma secuencial o simultánea respectivamente. Las arquitecturas cliente/servidor pueden tener dos o tres capas.
La arquitectura de bases de datos distribuidas define la estructura de un sistema que ofrece transparencia de datos, independencia lógica y física a través de la distribución de datos en múltiples sitios. Estos sistemas distribuidos pueden ser homogéneos, con una sola colección de datos, o heterogéneos, con múltiples colecciones de datos y usuarios locales y globales que acceden a datos almacenados en diferentes sitios.
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What are ERP Systems?
An ERP, or Enterprise Resource Planning, system provides your company with valuable information to help you make better decisions and boost your ROI. You should choose an ERP system based on your company’s specific needs. For instance, if you run a manufacturing or retail business, you will need an ERP system that efficiently manages inventory. A consulting firm, on the other hand, would benefit from an ERP system that enhances daily operations. Similarly, eCommerce stores would select an ERP system tailored to their needs.
Because different businesses have different requirements, ERP system functionalities can vary. Among the various ERP systems available, Odoo ERP is considered one of the best in the ERp market with more than 12 million global users today.
Odoo is an open-source ERP system initially designed for small to medium-sized businesses but now suitable for a wide range of companies. Odoo offers a scalable and configurable point-of-sale management solution and allows you to create customised modules for specific industries. Odoo is gaining more popularity because it is built in a way that allows easy customisation, has a user-friendly interface, and is affordable. Here, you will cover the main differences and get to know why Odoo is gaining attention despite the many other ERP systems available in the market.
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18. (recursividad f xs #{})))
=> (cfilter (fn [x] (pos? x))#{10 -20 30})
#{30 10}
(defn smap [f xs]
(letfn [(recursividad [g ys zs]
(if (empty? ys)
zs
(recursividad g
(rest ys)
(str zs (g (first ys)))
)))]
(recursividad f xs "")))
(defn en-mayuscula [c] ({a A e E i I o O u U} c))
(defn en-mayusculas [c]
(let [mayusculas {a A e E i I o O u U} ]
(if (nil? (mayusculas c))
c
(mayusculas c))))
(smap en-mayuscula "aaaeee iiiooouuu")
AAAEEEIIIOOOUUU
=> (smap en-mayusculas "aa ee")
AA EE
28. => (let [x 10 y 20]
(+ x y))
30
=> (let [ a 10 b 20 c 30]
(* (+ a a) (+ b b) (+ c c))
)
48000
=> (let [x [ 10 20 30]
y [ 40 50 60]]
(+ (first x) (first y))
)
50
=> (let [x [10 20]
y [ 30 40]]
{:x x :y y})
{:x [10 20], :y [30 40]}
=> (let [x [50 60 70]
y (first x)] x)
[50 60 70]
=> (let [x [50 60 70]
y (first x)] y)
50
=> (let [x [ 50 60 70]
y [10 20 30]]
{:x x :y y :first-x (first x) :first-y (first y)})
{:x [50 60 70],
:y [10 20 30],
:first-x 50,
:first-y 10}
=> (let [a (+ 2 3)
b (* 2 3)
c (+ a b)]
{:a a :b b :c c})
{:a 5, :b 6, :c 11}
=> (let [x [ 50 60 70]
y [10 20 30]]
{:x x :y y :first-x (first x) :first-y (first y)})
{:x [50 60 70],
:y [10 20 30],
:first-x 50,
:first-y 10}
29. => (let [a true b true c true]
(and a b c))
true
=> ((fn [x]
(let [a 10 b 20 x 30]
(+ a b x)))24)
60
=> ((fn [x]
(let [a 10 b 20 c 30]
(+ a b x)))24)
54
=> (if false
(let [x 10]
(* 2 x))
(let [x 20]
(* 5 x)))
100
((fn [x]
(if (>= x 0)
(let [ y 1]
(* y x))
(let [y -1]
(* y x))))
-65)
65
=> (let [x -4]
(if (>= x 10)
(let [y (* x x)]
y)
(let [ y ( + x x)]
y)))
-8
(let [f (fn [x] (* 2 x))
g (fn [x] (* 3 x))]
(f ( g 5)))
30
//aplicar a f con el resultado de g de 5
30. => (let [f (fn [x] (* 2 x))
g (fn [x] (* 3 x))
h (f (g 7))]
h)
42
=> (let [f (fn [x] (* 2 x))
g (fn [x] (* 3 x))
h (f (g 7))
i (fn [x] {:resultado-final x})]
(i h) )
{:resultado-final 42}
recursividad---
=> ((fn [x]
(letfn [ (g [ ei ef i a ]
(if (> i ef)
a
(g ei ef (inc i) (+ a i))))]
(g 0 x 0 0))) 5)
15
=> ((fn [x y]
(letfn [ (g [ ei ef i a ]
(if (> i ef)
a
(g ei ef (inc i) (+ a i))))]
(g x y x x))) 0 5)
15
=> ((fn [n] ((fn [x y]
(letfn [ (g [ ei ef i a ]
(if (> i ef)
a
(g ei ef (inc i) (+ a i))))]
(g x y x x))) 0 n)) 5)
15
=> ((fn [x y]
(letfn [ (g [ ei ef c a ]
(if (== ei ef)
a
(g (inc ei) ef c(+ a c))))]
(g 0 x y 0))) 5 20)
100
=> (rest [ 10 20 30])
32. => (let [x 10 y 20]
(+ x y))
30
=> (let [ a 10 b 20 c 30]
(* (+ a a) (+ b b) (+ c c))
)
48000
=> (let [x [ 10 20 30]
y [ 40 50 60]]
(+ (first x) (first y))
)
50
=> (let [x [10 20]
y [ 30 40]]
{:x x :y y})
{:x [10 20], :y [30 40]}
=> (let [x [50 60 70]
y (first x)] x)
[50 60 70]
=> (let [x [50 60 70]
y (first x)] y)
50
=> (let [x [ 50 60 70]
y [10 20 30]]
{:x x :y y :first-x (first x) :first-y (first y)})
{:x [50 60 70],
:y [10 20 30],
:first-x 50,
:first-y 10}
=> (let [a (+ 2 3)
b (* 2 3)
c (+ a b)]
{:a a :b b :c c})
{:a 5, :b 6, :c 11}
=> (let [x [ 50 60 70]
y [10 20 30]]
{:x x :y y :first-x (first x) :first-y (first y)})
{:x [50 60 70],
:y [10 20 30],
:first-x 50,
:first-y 10}
33. => (let [a true b true c true]
(and a b c))
true
=> ((fn [x]
(let [a 10 b 20 x 30]
(+ a b x)))24)
60
=> ((fn [x]
(let [a 10 b 20 c 30]
(+ a b x)))24)
54
=> (if false
(let [x 10]
(* 2 x))
(let [x 20]
(* 5 x)))
100
((fn [x]
(if (>= x 0)
(let [ y 1]
(* y x))
(let [y -1]
(* y x))))
-65)
65
=> (let [x -4]
(if (>= x 10)
(let [y (* x x)]
y)
(let [ y ( + x x)]
y)))
-8
(let [f (fn [x] (* 2 x))
g (fn [x] (* 3 x))]
(f ( g 5)))
30
//aplicar a f con el resultado de g de 5
34. => (let [f (fn [x] (* 2 x))
g (fn [x] (* 3 x))
h (f (g 7))]
h)
42
=> (let [f (fn [x] (* 2 x))
g (fn [x] (* 3 x))
h (f (g 7))
i (fn [x] {:resultado-final x})]
(i h) )
{:resultado-final 42}
recursividad---
=> ((fn [x]
(letfn [ (g [ ei ef i a ]
(if (> i ef)
a
(g ei ef (inc i) (+ a i))))]
(g 0 x 0 0))) 5)
15
=> ((fn [x y]
(letfn [ (g [ ei ef i a ]
(if (> i ef)
a
(g ei ef (inc i) (+ a i))))]
(g x y x x))) 0 5)
15
=> ((fn [n] ((fn [x y]
(letfn [ (g [ ei ef i a ]
(if (> i ef)
a
(g ei ef (inc i) (+ a i))))]
(g x y x x))) 0 n)) 5)
15
=> ((fn [x y]
(letfn [ (g [ ei ef c a ]
(if (== ei ef)
a
(g (inc ei) ef c(+ a c))))]
(g 0 x y 0))) 5 20)
100
=> (rest [ 10 20 30])