The document summarizes and provides code examples for four pattern matching algorithms:
1. The brute force algorithm checks each character position in the text to see if the pattern starts there, running in O(mn) time in worst case.
2. The Boyer-Moore algorithm uses a "bad character" shift and "good suffix" shift to skip over non-matching characters in the text, running faster than brute force.
3. The Knuth-Morris-Pratt algorithm uses a failure function to determine the maximum shift of the pattern on a mismatch, avoiding wasteful comparisons.
4. The failure function allows KMP to skip portions of the text like Boyer-Moore, running
The document discusses Rolle's theorem and its application to show that the function f(x)=4x^5 + x^3 + 7x - 2 has exactly one real root. It begins by defining Rolle's theorem, which states that if a function f is continuous on a closed interval [a,b] and differentiable on the open interval (a,b), with f(a)=f(b), then the derivative f'(x)=0 for some x in [a,b]. It then applies this to the given function f(x) by assuming for contradiction that there are two real roots a and b, which would require by Rolle's theorem another root c where the derivative is 0.
This document provides an overview of fundamentals of MATLAB, including:
1) It discusses array operations like addition and scalar multiplication that must be done on arrays of the same length.
2) It introduces for loops in MATLAB, showing examples of using for to iterate and display values.
3) It demonstrates one-line if statements and how to assign expressions, commands, and variables in MATLAB statements.
4) It provides an example of using the zplane function to plot pole-zero diagrams in the z-domain.
This document summarizes key concepts in cryptography and number theory relevant to public key cryptography algorithms like RSA. It discusses number theoretic concepts like prime numbers, modular arithmetic, discrete logarithms, and one-way functions. It then provides an overview of the RSA algorithm, explaining how it uses the difficulty of factoring large numbers to enable secure public key encryption and digital signatures.
Scala: Pattern matching, Concepts and ImplementationsMICHRAFY MUSTAFA
In the following slides, we attempt to present the pattern matching and its implementation in Scala.
The concepts introduced are: Basic pattern matching, Pattern alternative, Pattern guards, Pattern matching and recursive function, Typed patterns, Tuple patterns, Matching on option, Matching on immutable collection, Matching on List, Matching on case class, Nested pattern matching in case classes, and
Matching on regular expression.
This document discusses string matching algorithms. It begins with an introduction to the naive string matching algorithm and its quadratic runtime. Then it proposes three improved algorithms: FC-RJ, FLC-RJ, and FMLC-RJ, which attempt to match patterns by restricting comparisons based on the first, first and last, or first, middle, and last characters, respectively. Experimental results show that these three proposed algorithms outperform the naive algorithm by reducing execution time, with FMLC-RJ working best for three-character patterns.
1) The document discusses Turing machines and their properties such as having a finite set of states and read/write tape memory. The output depends only on the input and previous output based on definite transition rules.
2) Reducibility is introduced as a primary method for proving problems are computationally unsolvable by converting one problem into another problem such that solving the second solves the first.
3) Decidability and undecidability of languages are defined. Undecidable problems have no algorithm to determine membership regardless of whether a Turing machine halts or not on all inputs.
The document summarizes and provides code examples for four pattern matching algorithms:
1. The brute force algorithm checks each character position in the text to see if the pattern starts there, running in O(mn) time in worst case.
2. The Boyer-Moore algorithm uses a "bad character" shift and "good suffix" shift to skip over non-matching characters in the text, running faster than brute force.
3. The Knuth-Morris-Pratt algorithm uses a failure function to determine the maximum shift of the pattern on a mismatch, avoiding wasteful comparisons.
4. The failure function allows KMP to skip portions of the text like Boyer-Moore, running
The document discusses Rolle's theorem and its application to show that the function f(x)=4x^5 + x^3 + 7x - 2 has exactly one real root. It begins by defining Rolle's theorem, which states that if a function f is continuous on a closed interval [a,b] and differentiable on the open interval (a,b), with f(a)=f(b), then the derivative f'(x)=0 for some x in [a,b]. It then applies this to the given function f(x) by assuming for contradiction that there are two real roots a and b, which would require by Rolle's theorem another root c where the derivative is 0.
This document provides an overview of fundamentals of MATLAB, including:
1) It discusses array operations like addition and scalar multiplication that must be done on arrays of the same length.
2) It introduces for loops in MATLAB, showing examples of using for to iterate and display values.
3) It demonstrates one-line if statements and how to assign expressions, commands, and variables in MATLAB statements.
4) It provides an example of using the zplane function to plot pole-zero diagrams in the z-domain.
This document summarizes key concepts in cryptography and number theory relevant to public key cryptography algorithms like RSA. It discusses number theoretic concepts like prime numbers, modular arithmetic, discrete logarithms, and one-way functions. It then provides an overview of the RSA algorithm, explaining how it uses the difficulty of factoring large numbers to enable secure public key encryption and digital signatures.
Scala: Pattern matching, Concepts and ImplementationsMICHRAFY MUSTAFA
In the following slides, we attempt to present the pattern matching and its implementation in Scala.
The concepts introduced are: Basic pattern matching, Pattern alternative, Pattern guards, Pattern matching and recursive function, Typed patterns, Tuple patterns, Matching on option, Matching on immutable collection, Matching on List, Matching on case class, Nested pattern matching in case classes, and
Matching on regular expression.
This document discusses string matching algorithms. It begins with an introduction to the naive string matching algorithm and its quadratic runtime. Then it proposes three improved algorithms: FC-RJ, FLC-RJ, and FMLC-RJ, which attempt to match patterns by restricting comparisons based on the first, first and last, or first, middle, and last characters, respectively. Experimental results show that these three proposed algorithms outperform the naive algorithm by reducing execution time, with FMLC-RJ working best for three-character patterns.
1) The document discusses Turing machines and their properties such as having a finite set of states and read/write tape memory. The output depends only on the input and previous output based on definite transition rules.
2) Reducibility is introduced as a primary method for proving problems are computationally unsolvable by converting one problem into another problem such that solving the second solves the first.
3) Decidability and undecidability of languages are defined. Undecidable problems have no algorithm to determine membership regardless of whether a Turing machine halts or not on all inputs.
The document discusses the Post Correspondence Problem (PCP) and shows that it is undecidable. It defines PCP as determining if there is a sequence of string pairs from two lists A and B that match up. It then defines the Modified PCP (MPCP) which requires the first pair to match. It shows how to reduce the Universal Language Problem to MPCP by mapping a Turing Machine and input to lists A and B, and then how to reduce MPCP to PCP. Finally, it discusses Rice's Theorem and how properties of recursively enumerable languages are undecidable.
This document discusses asymptotic analysis and recurrence relations. It begins by introducing asymptotic notations like Big O, Omega, and Theta notation that are used to analyze algorithms. It then discusses recurrence relations, which express the running time of algorithms in terms of input size. The document provides examples of using recurrence relations to find the time complexity of algorithms like merge sort. It also discusses how to calculate time complexity functions like f(n) asymptotically rather than calculating exact running times. The goal of this analysis is to understand how algorithm running times scale with input size.
The document discusses string matching algorithms using finite automata. It describes how a finite automaton can be constructed from a pattern to recognize matches in a text. The automaton examines each character of the text once, allowing matches to be found in linear time O(n). It also discusses the Knuth-Morris-Pratt string matching algorithm and how it precomputes shift distances to efficiently skip over parts of the text.
The Boyer-Moore string matching algorithm was developed in 1977 and is considered one of the most efficient string matching algorithms. It works by scanning the pattern from right to left and shifting the pattern by multiple characters if a mismatch is found, using preprocessing tables. The algorithm constructs a bad character shift table during preprocessing that stores the maximum number of positions a mismatched character can shift the pattern. It then aligns the pattern with the text and checks for matches, shifting the pattern right by the value in the table if a mismatch occurs.
The document discusses the Euler Phi function, which calculates the number of numbers less than n that are relatively prime to n. It provides examples of calculating phi(n) for different types of numbers n. For prime numbers, phi(n) = n-1. For numbers that are a power of a prime like 8, phi(n) = n - n/p, where n is the power of p. For numbers that can be expressed as a product of different primes, phi(n) is the product of phi(n) for each prime factor.
The document discusses regular expressions and how they can be used to represent languages accepted by finite automata. It provides examples of how to:
1. Construct regular expressions from languages and finite state automata. Regular expressions can be built by defining expressions for subparts of a language and combining them.
2. Convert finite state automata to equivalent regular expressions using state elimination techniques. Intermediate states are replaced with regular expressions on transitions until a single state automaton remains.
3. Convert regular expressions to equivalent finite state automata by building epsilon-nondeterministic finite automata (ε-NFAs) based on the structure of the regular expression.
The document summarizes three string matching algorithms: Knuth-Morris-Pratt algorithm, Boyer-Moore string search algorithm, and Bitap algorithm. It provides details on each algorithm, including an overview, inventors, pseudocode, examples, and explanations of how they work. The Knuth-Morris-Pratt algorithm uses information about the pattern string to skip previously examined characters when a mismatch occurs. The Boyer-Moore algorithm uses preprocessing of the pattern to calculate shift amounts to skip alignments. The Bitap algorithm uses a bit array and bitwise operations to efficiently compare characters.
The document discusses the Boyer-Moore string searching algorithm. It works by preprocessing the pattern string and comparing characters from right to left. If a mismatch occurs, it uses two heuristics - bad character and good suffix - to determine the shift amount. The bad character heuristic shifts past mismatching characters, while the good suffix heuristic looks for matching suffixes to allow larger shifts. The algorithm generally gets faster as the pattern length increases, running in sub-linear time on average. It has applications in tasks like virus scanning and database searching that require high-speed string searching.
EM 알고리즘을 jensen's inequality부터 천천히 잘 설명되어있다
이것을 보면, LDA의 Variational method로 학습하는 방식이 어느정도 이해가 갈 것이다.
옛날 Andrew Ng 선생님의 강의노트에서 발췌한 건데 5년전에 본 것을
아직도 찾아가면서 참고하면서 해야 된다는 게 그 강의가 얼마나 명강의였는지 새삼 느끼게 된다.
This document discusses and defines four common algorithms for string matching:
1. The naive algorithm compares characters one by one with a time complexity of O(MN).
2. The Knuth-Morris-Pratt (KMP) algorithm uses pattern preprocessing to skip previously checked characters, achieving linear time complexity of O(N+M).
3. The Boyer-Moore (BM) algorithm matches strings from right to left and uses pattern preprocessing tables to skip more characters than KMP, with sublinear worst-case time complexity of O(N/M).
4. The Rabin-Karp (RK) algorithm uses hashing techniques to find matches in text substrings, with time complexity of
This document discusses string matching algorithms. It begins by defining the string matching problem and providing an example. It then discusses terminologies used in string matching. It provides an overview of the brute force algorithm and two-phase algorithms like KMP and Boyer-Moore. It explains the KMP algorithm in detail, including calculating the prefix function and using it in the matching process. It also discusses suffix trees and suffix arrays, providing algorithms to construct them and use them for string matching. Finally, it covers approximate string matching using dynamic programming and suffix edit distance.
The document defines the limit of a function and how to determine if the limit exists at a given point. It provides an intuitive definition, then a more precise epsilon-delta definition. Examples are worked through to show how to use the definition to prove limits, including finding appropriate delta values given an epsilon and showing a function satisfies the definition.
The document describes the Knuth-Morris-Pratt (KMP) string matching algorithm. KMP finds all occurrences of a pattern string P in a text string T. It improves on the naive algorithm by not re-checking characters when a mismatch occurs. This is done by precomputing a function h that determines how many characters P can skip ahead while still maintaining the matching prefix. With h, KMP ensures each character is checked at most twice, giving it O(m+n) time complexity where m and n are the lengths of P and T.
The document discusses the constraint satisfaction problem (CSP) and the dichotomy conjecture in computational complexity theory. It defines CSP and provides examples. It discusses the role of polymorphisms - operations that preserve constraints. The presence or absence of certain polymorphisms like semilattice, majority, and affine operations determines the complexity of CSP for a given constraint language. The document outlines a proposed dichotomy - CSP is either solvable in polynomial time or NP-complete, depending on the polymorphisms. It surveys partial results proving this conjecture and algorithms for certain constraint languages.
The document discusses the constraint satisfaction problem (CSP) and the dichotomy conjecture regarding the complexity of CSP instances. It provides definitions and examples of CSPs. It explains the role of polymorphisms in determining the complexity, identifying semilattice, majority and affine polymorphisms as "good". It outlines the dichotomy conjecture that CSPs are either solvable in polynomial time or NP-complete depending on the presence of certain types of local structure defined by polymorphisms. The document also discusses algorithms and results for various constraint languages.
This document presents several algorithms for radix sorting integers with no extra space beyond the input. It begins with a simple algorithm that compresses part of the input to gain space for sorting the remainder in linear time, but is not stable. It then presents a more sophisticated stable algorithm that recursively sorts portions of the input, compressing one portion to gain space to radix sort chunks of the remainder, and finally merges the sorted portions. The document also discusses how these techniques can be extended to handle arbitrary word lengths and read-only keys.
This document discusses string matching algorithms and their complexity. It introduces the string matching problem of finding all valid shifts where a pattern occurs in a text. It describes the naive algorithm that checks for a match between the pattern and text at each possible shift in O((n-m+1)m) time. It also mentions more advanced algorithms like the Knuth-Morris-Pratt algorithm and using finite automata that have better time complexities.
An algorithm is defined as a sequence of unambiguous instructions to solve a problem within a finite amount of time. While algorithms are commonly expressed through programming languages, some view algorithms and programs as distinct concepts, with algorithms not necessarily requiring termination. The document discusses debates around what precisely constitutes an algorithm, with some arguing finiteness is required while others believe infinite algorithms that provide unambiguous steps should still be considered algorithms.
NP completeness. Classes P and NP are two frequently studied classes of problems in computer science. Class P is the set of all problems that can be solved by a deterministic Turing machine in polynomial time.
String matching uses finite automata to effectively search for patterns within text. A finite automaton represents a language as a set of strings and can test if a string matches by running it on the automaton. To perform string matching with a finite automaton, the pattern is represented as states in the automaton. The transition function is computed to define the state transitions for each alphabet symbol. The automaton is run on the text and checks for a transition to the final state to determine if the pattern was found. Real-world applications of finite automata include search engines, text editors, coke machines, and train track switches.
Universidad panamericana actividad 2 ambientes virtualesCole Católico
El documento compara diferentes modelos educativos. Los modelos centrados en el docente se enfocan en la transmisión de conocimiento del maestro al estudiante, mientras que los modelos centrados en el estudiante promueven el aprendizaje autónomo y activo del estudiante. Los modelos centrados en el contenido se basan en la enseñanza tradicional de transmitir conocimiento, en contraste con los modelos centrados en el aprendizaje que ponen al estudiante en el centro del proceso educativo.
This document discusses how William Marcel and Richard Stallman helped develop new models of software distribution that emphasized collaboration over commercialization. It notes they promoted concepts like open-source software, copyright liberties, and challenged the illusion that proprietary software was the only option. Their ideas helped launch new movements in software development that valued user freedom.
The document discusses the Post Correspondence Problem (PCP) and shows that it is undecidable. It defines PCP as determining if there is a sequence of string pairs from two lists A and B that match up. It then defines the Modified PCP (MPCP) which requires the first pair to match. It shows how to reduce the Universal Language Problem to MPCP by mapping a Turing Machine and input to lists A and B, and then how to reduce MPCP to PCP. Finally, it discusses Rice's Theorem and how properties of recursively enumerable languages are undecidable.
This document discusses asymptotic analysis and recurrence relations. It begins by introducing asymptotic notations like Big O, Omega, and Theta notation that are used to analyze algorithms. It then discusses recurrence relations, which express the running time of algorithms in terms of input size. The document provides examples of using recurrence relations to find the time complexity of algorithms like merge sort. It also discusses how to calculate time complexity functions like f(n) asymptotically rather than calculating exact running times. The goal of this analysis is to understand how algorithm running times scale with input size.
The document discusses string matching algorithms using finite automata. It describes how a finite automaton can be constructed from a pattern to recognize matches in a text. The automaton examines each character of the text once, allowing matches to be found in linear time O(n). It also discusses the Knuth-Morris-Pratt string matching algorithm and how it precomputes shift distances to efficiently skip over parts of the text.
The Boyer-Moore string matching algorithm was developed in 1977 and is considered one of the most efficient string matching algorithms. It works by scanning the pattern from right to left and shifting the pattern by multiple characters if a mismatch is found, using preprocessing tables. The algorithm constructs a bad character shift table during preprocessing that stores the maximum number of positions a mismatched character can shift the pattern. It then aligns the pattern with the text and checks for matches, shifting the pattern right by the value in the table if a mismatch occurs.
The document discusses the Euler Phi function, which calculates the number of numbers less than n that are relatively prime to n. It provides examples of calculating phi(n) for different types of numbers n. For prime numbers, phi(n) = n-1. For numbers that are a power of a prime like 8, phi(n) = n - n/p, where n is the power of p. For numbers that can be expressed as a product of different primes, phi(n) is the product of phi(n) for each prime factor.
The document discusses regular expressions and how they can be used to represent languages accepted by finite automata. It provides examples of how to:
1. Construct regular expressions from languages and finite state automata. Regular expressions can be built by defining expressions for subparts of a language and combining them.
2. Convert finite state automata to equivalent regular expressions using state elimination techniques. Intermediate states are replaced with regular expressions on transitions until a single state automaton remains.
3. Convert regular expressions to equivalent finite state automata by building epsilon-nondeterministic finite automata (ε-NFAs) based on the structure of the regular expression.
The document summarizes three string matching algorithms: Knuth-Morris-Pratt algorithm, Boyer-Moore string search algorithm, and Bitap algorithm. It provides details on each algorithm, including an overview, inventors, pseudocode, examples, and explanations of how they work. The Knuth-Morris-Pratt algorithm uses information about the pattern string to skip previously examined characters when a mismatch occurs. The Boyer-Moore algorithm uses preprocessing of the pattern to calculate shift amounts to skip alignments. The Bitap algorithm uses a bit array and bitwise operations to efficiently compare characters.
The document discusses the Boyer-Moore string searching algorithm. It works by preprocessing the pattern string and comparing characters from right to left. If a mismatch occurs, it uses two heuristics - bad character and good suffix - to determine the shift amount. The bad character heuristic shifts past mismatching characters, while the good suffix heuristic looks for matching suffixes to allow larger shifts. The algorithm generally gets faster as the pattern length increases, running in sub-linear time on average. It has applications in tasks like virus scanning and database searching that require high-speed string searching.
EM 알고리즘을 jensen's inequality부터 천천히 잘 설명되어있다
이것을 보면, LDA의 Variational method로 학습하는 방식이 어느정도 이해가 갈 것이다.
옛날 Andrew Ng 선생님의 강의노트에서 발췌한 건데 5년전에 본 것을
아직도 찾아가면서 참고하면서 해야 된다는 게 그 강의가 얼마나 명강의였는지 새삼 느끼게 된다.
This document discusses and defines four common algorithms for string matching:
1. The naive algorithm compares characters one by one with a time complexity of O(MN).
2. The Knuth-Morris-Pratt (KMP) algorithm uses pattern preprocessing to skip previously checked characters, achieving linear time complexity of O(N+M).
3. The Boyer-Moore (BM) algorithm matches strings from right to left and uses pattern preprocessing tables to skip more characters than KMP, with sublinear worst-case time complexity of O(N/M).
4. The Rabin-Karp (RK) algorithm uses hashing techniques to find matches in text substrings, with time complexity of
This document discusses string matching algorithms. It begins by defining the string matching problem and providing an example. It then discusses terminologies used in string matching. It provides an overview of the brute force algorithm and two-phase algorithms like KMP and Boyer-Moore. It explains the KMP algorithm in detail, including calculating the prefix function and using it in the matching process. It also discusses suffix trees and suffix arrays, providing algorithms to construct them and use them for string matching. Finally, it covers approximate string matching using dynamic programming and suffix edit distance.
The document defines the limit of a function and how to determine if the limit exists at a given point. It provides an intuitive definition, then a more precise epsilon-delta definition. Examples are worked through to show how to use the definition to prove limits, including finding appropriate delta values given an epsilon and showing a function satisfies the definition.
The document describes the Knuth-Morris-Pratt (KMP) string matching algorithm. KMP finds all occurrences of a pattern string P in a text string T. It improves on the naive algorithm by not re-checking characters when a mismatch occurs. This is done by precomputing a function h that determines how many characters P can skip ahead while still maintaining the matching prefix. With h, KMP ensures each character is checked at most twice, giving it O(m+n) time complexity where m and n are the lengths of P and T.
The document discusses the constraint satisfaction problem (CSP) and the dichotomy conjecture in computational complexity theory. It defines CSP and provides examples. It discusses the role of polymorphisms - operations that preserve constraints. The presence or absence of certain polymorphisms like semilattice, majority, and affine operations determines the complexity of CSP for a given constraint language. The document outlines a proposed dichotomy - CSP is either solvable in polynomial time or NP-complete, depending on the polymorphisms. It surveys partial results proving this conjecture and algorithms for certain constraint languages.
The document discusses the constraint satisfaction problem (CSP) and the dichotomy conjecture regarding the complexity of CSP instances. It provides definitions and examples of CSPs. It explains the role of polymorphisms in determining the complexity, identifying semilattice, majority and affine polymorphisms as "good". It outlines the dichotomy conjecture that CSPs are either solvable in polynomial time or NP-complete depending on the presence of certain types of local structure defined by polymorphisms. The document also discusses algorithms and results for various constraint languages.
This document presents several algorithms for radix sorting integers with no extra space beyond the input. It begins with a simple algorithm that compresses part of the input to gain space for sorting the remainder in linear time, but is not stable. It then presents a more sophisticated stable algorithm that recursively sorts portions of the input, compressing one portion to gain space to radix sort chunks of the remainder, and finally merges the sorted portions. The document also discusses how these techniques can be extended to handle arbitrary word lengths and read-only keys.
This document discusses string matching algorithms and their complexity. It introduces the string matching problem of finding all valid shifts where a pattern occurs in a text. It describes the naive algorithm that checks for a match between the pattern and text at each possible shift in O((n-m+1)m) time. It also mentions more advanced algorithms like the Knuth-Morris-Pratt algorithm and using finite automata that have better time complexities.
An algorithm is defined as a sequence of unambiguous instructions to solve a problem within a finite amount of time. While algorithms are commonly expressed through programming languages, some view algorithms and programs as distinct concepts, with algorithms not necessarily requiring termination. The document discusses debates around what precisely constitutes an algorithm, with some arguing finiteness is required while others believe infinite algorithms that provide unambiguous steps should still be considered algorithms.
NP completeness. Classes P and NP are two frequently studied classes of problems in computer science. Class P is the set of all problems that can be solved by a deterministic Turing machine in polynomial time.
String matching uses finite automata to effectively search for patterns within text. A finite automaton represents a language as a set of strings and can test if a string matches by running it on the automaton. To perform string matching with a finite automaton, the pattern is represented as states in the automaton. The transition function is computed to define the state transitions for each alphabet symbol. The automaton is run on the text and checks for a transition to the final state to determine if the pattern was found. Real-world applications of finite automata include search engines, text editors, coke machines, and train track switches.
Universidad panamericana actividad 2 ambientes virtualesCole Católico
El documento compara diferentes modelos educativos. Los modelos centrados en el docente se enfocan en la transmisión de conocimiento del maestro al estudiante, mientras que los modelos centrados en el estudiante promueven el aprendizaje autónomo y activo del estudiante. Los modelos centrados en el contenido se basan en la enseñanza tradicional de transmitir conocimiento, en contraste con los modelos centrados en el aprendizaje que ponen al estudiante en el centro del proceso educativo.
This document discusses how William Marcel and Richard Stallman helped develop new models of software distribution that emphasized collaboration over commercialization. It notes they promoted concepts like open-source software, copyright liberties, and challenged the illusion that proprietary software was the only option. Their ideas helped launch new movements in software development that valued user freedom.
Este documento proporciona información sobre las características de vista en Excel, incluyendo vistas normales, de diseño de página y previsualización de salto de página. También describe cómo mostrar u ocultar elementos, usar zoom, trabajar con ventanas múltiples, grabar macros y usar la fórmula MAX para obtener el valor máximo de un conjunto de datos. Se incluye un ejemplo de cómo usar la fórmula MAX para encontrar la nota más alta de una lista de nombres y notas.
El documento presenta información sobre la comunidad de Huayna Cápac en Cuenca, Ecuador, donde vive el autor. Brinda definiciones de comunidad, comunidad educativa y proyecto comunitario. Luego, proporciona detalles sobre la parroquia de Huayna Cápac y las calles de la vivienda del autor. Finalmente, enumera algunas instituciones cercanas y medios de transporte disponibles en la zona.
Residential interiors require careful consideration of layout, functionality, and aesthetics. Floor plans must efficiently accommodate daily activities while also creating a comfortable living environment. Furniture, fixtures, colors, lighting, and other design elements come together to reflect the owners' tastes and priorities within the spatial constraints.
Sibusiso Limane is a South African surveying professional seeking new opportunities. He has a National Diploma in Surveying from Mangosuthu University of Technology and experience working for the Department of Rural Development and Land Reform as well as Linge Geomatics. His skills include operating surveying equipment like total stations, GPS devices, and software like MicroStation. References are provided that commend his dedication and ability to work well independently and with others.
El documento presenta el informe de rendición de cuentas del Ministerio de Comercio Exterior de Ecuador para 2014. Detalla la filosofía institucional, funciones, cobertura de servicios, participación ciudadana, logros en comercio exterior e inversiones, y cumplimiento del plan operativo anual alineado a los objetivos estratégicos nacionales de desarrollo económico y cambio de la matriz productiva.
El documento presenta el proyecto anual de educación física para el 3er año de la escuela secundaria "Bellas Artes". El proyecto busca desarrollar las capacidades físicas y mentales de los alumnos a través de actividades recreativas de básquet, voley y handball que promuevan la inclusión, cooperación y respeto. Se utilizarán también herramientas TIC como un blog colaborativo para reforzar los aprendizajes y vincularlos con la tecnología.
This document provides an overview of Zigbee wireless sensor networks. It discusses the introduction of Zigbee including its data rates up to 250 kbps, range of 10-75 meters, multi-level security, and battery life of up to 2 years. Applications of Zigbee are also presented. Several common attacks on Zigbee networks are described such as end-device sabotage, network key sniffing, replay, packet interception, and network discovery attacks. Countermeasures to these attacks including remote alerting systems, use of high security levels, intrusion detection systems, and timestamping mechanisms are proposed.
El documento describe dos tipos de handover: hard handover y soft handover. En hard handover, el móvil se desconecta de la estación base original antes de conectarse a la nueva, mientras que en soft handover el móvil mantiene conexiones simultáneas con ambas estaciones base durante el proceso de handover para evitar interrupciones. Soft handover proporciona mayor fiabilidad a pesar de ser más difícil de implementar. Los estándares CDMA y WCDMA usan soft handover.
La Investigación Operativa (IO) estudia la toma de decisiones cuantitativas para resolver problemas mediante modelos matemáticos. Se originó para optimizar recursos durante la Segunda Guerra Mundial y ahora se aplica en diversas industrias y sectores. El método de la IO incluye definir el problema, construir un modelo, deducir soluciones óptimas, probar el modelo, y ejecutar y controlar las soluciones.
Antonio José es un joven cantante de 20 años que ganó el programa de talentos La Voz en España. Ha lanzado varios álbumes como "Te traigo flores" y "Todo vuelve a empezar". Su nuevo álbum "El viaje" ha alcanzado el número 1 en las listas de ventas en España. Pablo Alborán es un cantautor español que ha lanzado tres álbumes de estudio y un álbum en vivo. Sus discos han vendido más de un millón de copias en todo el mundo. Antonio Orozco es un artista españ
A Primality test is an algorithm for determining whether an input number is Prime. Among other fields of mathematics, it is used for Cryptography. Factorization is thought to be a computationally difficult problem, whereas primality testing is comparatively easy (its running time is polynomial in the size of the input).
The document discusses several topics in number theory including prime numbers, Fermat's and Euler's theorems, primality testing algorithms like Miller-Rabin, the Chinese Remainder Theorem, and discrete logarithms. It defines prime numbers and factorization. It explains Fermat's Little Theorem, Euler's Theorem and how they relate exponentiation and modulo arithmetic. It also describes probabilistic primality tests and their analysis. The Chinese Remainder Theorem is introduced as a method to speed up modular computations. Discrete logarithms are defined as the inverse of exponentiation modulo a prime.
The document discusses several topics in cryptography including prime numbers, primality testing algorithms, factorization algorithms, the Chinese Remainder Theorem, and modular exponentiation. It defines prime numbers and describes algorithms for determining if a number is prime like the trial division method and Miller-Rabin primality test. Factorization algorithms are used to break encryption. The Chinese Remainder Theorem can be used to solve simultaneous congruences and speed up computations performed modulo composite numbers. Euler's theorem and its generalization are also covered.
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.
RSA is a popular public key cryptography algorithm invented by Rivest, Shamir, and Adleman in 1978. It uses two large prime numbers to generate a public and private key pair. The public key is used to encrypt messages, and the private key is used to decrypt them. RSA works by converting the plaintext into numbers, encrypting it using modular arithmetic and the public key, then decrypting the ciphertext with the private key. It relies on the difficulty of factoring large numbers.
This document provides an overview of number theory concepts including:
1. Modular arithmetic and its properties such as congruences modulo m and applications to hashing functions and pseudorandom number generators.
2. Primes, including the fundamental theorem of arithmetic and a theorem stating any composite number has a prime divisor less than or equal to the square root of the number.
3. Divisibility properties and the division algorithm for finding the quotient and remainder of integer division.
This document discusses several topics in number theory including prime numbers, relatively prime numbers, modular arithmetic, Fermat's theorem, Euler's theorem, and the Chinese Remainder theorem. It provides examples and explanations of these concepts. It also discusses how some of these number theory concepts like modular arithmetic and the difficulty of factoring large numbers into primes are applied in public key cryptography algorithms like RSA.
The document discusses the RSA cryptosystem. It begins with a brief history of cryptography. Then it explains the RSA process which uses a public and private key pair based on the difficulty of factoring large prime numbers. The key generation process is described, involving choosing prime numbers p and q, computing the totient function φ(n), and selecting public and private exponents. Encryption involves modular exponentiation of a message with the public key, while decryption requires the private key.
This document provides a summary of the life and career of Sh. Pramod Kumar T.K., who served as the Joint Secretary (Academics) at the Central Board of Secondary Education from April 15, 1971 to May 25, 2021. It dedicates his memory and recognizes his dedicated service in this role.
Number theory concepts like prime numbers, modular arithmetic, and theorems like Fermat's and Euler's are important foundations for cryptography. Primality testing and the Chinese Remainder Theorem can help efficiently generate and operate with large prime numbers. While exponentiation is easy, the inverse problem of computing discrete logarithms is computationally difficult, making it suitable for cryptographic applications.
This file contains the contents about dynamic programming, greedy approach, graph algorithm, spanning tree concepts, backtracking and branch and bound approach.
Euclid's division algorithm states that any positive integer a can be divided by another positive integer b with a remainder r that is smaller than b. This algorithm can be used to find the highest common factor (HCF) of two integers. The Fundamental Theorem of Arithmetic states that every composite number can be expressed as a unique product of prime numbers. These concepts are used to prove numbers like sqrt(2) and sqrt(3) are irrational and to explore when decimal expansions of rational numbers like p/q terminate or repeat.
The document discusses congruences and the Chinese Remainder Theorem. It begins by introducing congruences and some basic properties, such as if a ≡ b (mod m) and c ≡ d (mod m), then a + c ≡ b + d (mod m). It then discusses the Euler phi function and Euler's Theorem. Finally, it introduces and proves the Chinese Remainder Theorem, which states that a system of congruences with pairwise relatively prime moduli has a unique solution modulo the product of the moduli.
1) Primes are integers greater than 1 that are only divisible by 1 and themselves. There are infinitely many prime numbers.
2) The Prime Number Theorem describes the distribution of primes among integers and states that the probability a random integer between 0 and n is prime is about 1/ln(n).
3) Trial division is a simple but inefficient method to test if a number is prime by checking if it is divisible by any integer between 2 and the square root of the number. More advanced primality tests have been developed.
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Last time we talked about propositional logic, a logic on simple statements.
This time we will talk about first order logic, a logic on quantified statements.
First order logic is much more expressive than propositional logic.
The topics on first order logic are:
1-Quantifiers
2-Negation
3-Multiple quantifiers
4-Arguments of quantified statements
In this work, the author builds a search algorithm for large Primes. It is shown that the number constructed by this algorithm are integers not representable as a sum of two squares. Specified one note of Fermat. Namely, we prove that there are infinitely many numbers of Fermat. It is determined that the first number of Fermat exceeding the number 2 1 4 2 satisfies the inequality n 17 .
In this slide you get to know the all the detail and in depth knowledge of the chapter Real Number, 1st chapter of CBSE class 10th. Here you get all the variety of questions.
You can watch the video lecture on YouTube-
https://youtu.be/T2N-NObDf8w
Name: Zalte Sayali Pandurang
PRN: 2020mtecsit002
Aim: The relevance of Euler’s Totient Function to the application of Cryptography. Euler's totient function counts the number of integers co-prime to n between 1 and n. It has various properties and a product formula. Euler's totient function is useful in cryptography as the RSA algorithm uses it to find encryption and decryption keys based on two large prime numbers.
The document discusses the theory of NP-completeness. It begins by classifying problems as solvable, unsolvable, tractable, or intractable. It then defines deterministic and nondeterministic algorithms, and how nondeterministic algorithms can be expressed. The document introduces the complexity classes P and NP. It discusses reducing one problem to another to prove NP-completeness via transitivity. Several classic NP-complete problems are proven to be NP-complete, such as 3SAT, 3-coloring, and subset sum. The document also discusses how to cope with NP-complete problems in practice by sacrificing optimality, generality, or efficiency.
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2. Problem statement
Let’s pretend that Bobby has a certain number of
pencils in his bag. If Bobby were to pull out pencils in
groups of 7, he would have 5 pencil in his bag.
Similarly, if Bobby were to pull out pencils in groups of
11, he would end up with 7 pencils left in his bag.
Finally, we know that if Bobby pulls out pencils in
groups of 13, he would end up with up 3 pencils left.
How many pencils does Bobby have in his bag?
HOW DO WE SOLVE THIS???????
3. Chinese Remainder Theorem
Developed in the 3rd century by Chinese Mathematician Sun
Tzu.
The Theorem
Suppose n1, n2, …, nk are positive integers which
are pairwise co prime. Then, for any given set of
integers a1,a2, …, ak, there exists an integer x solving
the system of simultaneous congruence.
(where x=x0 (mod n1*n2*n3..nk) )
4. unique solution is given as
x0 =(m2m3)b1.a1 +
(m1m3)b2.a2 + (m1m2)b3.a3
Eucledian algorithm
Given two integers a & b, there exist a
common divisor d of a & b of the form
d= ax+by.
5. How do we apply this?
X == 5 (mod 7)
X == 7 (mod 11)
X == 3 (mod 13)
6. Significance in Cryptography
In cryptography, the CRT is used in secret sharing through error-
correcting code.
Let m1,m2,⋯mi be t pairwise relatively prime integers. Suppose
we have have a secret which is an integer s with 0≤s<m. The secret
s can be shared among t parties as follows. Let P1,P2,⋯Pt denote
the t parties that will share the secret. We give Pi the residue
si=s(modmi) the information known only to Pi. By the CRT the t
pieces of information si are sufficient to determine the original
secret s, but with anything less than t number of residue si cannot
determine the original s.
Used in secret sharing algorithm like RSA.
7. Quadratic Residues
For all x such that (x,n) =1 , x is called a quadratic
residue modulo n if there exists y such that y2x mod n
Note: if p is prime there are exactly
(p-1)/2 quadratic residues in Zp*.
For eg:
X^2 = a mod 11
Then a can be –
1^2=1 , 2^2= 4…….
a={1,4,9,5,3}.
These are quadratic residue and {2,6,7,8,10} are quadratic
non residue.
8. Legendre’s symbol
p – odd prime
Definition:
0, if p divides a
1,if a is quadratic residue.
-1, if a is quadratic non residue.
9. Significance in Cryptography
The fact that finding a square root of a number
modulo a large composite n has been used for
constructing cryptographic schemes such as
the Rabin cryptosystem.
The discrete logarithm is a similar problem that is
also used in cryptography.
Graph theory
Primality testing
10. Discrete log
Fix a prime p. Let a, b be nonzero integers (mod p). The
problem of finding x such that ax ≡ b (mod p) is called the
discrete logarithm problem
11. Cyclic multiplicative group
Some groups have a property, that all the elements in
the group can be obtained by repeatedly applying the
group operation to a particular group element. If a
group has such a property, it is called a cyclic group and
the particular group element is called a generator.
21 ≡ 2 mod 5
22 ≡ 4 mod 5
23 ≡ 8 ≡ 3 mod 5
24 ≡ 16 ≡ 1 mod 5
Applications : as this is a one way function it is used in
deffie hellman and other key exchange algorithms.
12. Primality Testing
Introduction :
The primality test provides the probability of
whether or not a large number is prime.
Several theorems including Fermat’s theorem
provide idea of primality test.
Cryptography schemes such as RSA algorithm
heavily based on primality test.
13. Definitions
A Prime number is an integer that has no
integer factors other than 1 and itself. On the
other hand, it is called composite number.
A primality testing is a test to determine
whether or not a given number is prime, as
opposed to actually decomposing the number
into its constituent prime factors.
14. Algorithms
A Naïve Algorithm
◦ Pick any integer P that is greater than 2.
◦ Try to divide P by all odd integers starting from 3 to
square root of P.
◦ If P is divisible by any one of these odd integers, we
can conclude that P is composite.
◦ The worst case is that we have to go through all odd
number testing cases.
◦ Time complexity is O(square root of N)
15. Fermat’s Theorem
◦ Given that P is an integer that we would like to test
that it is either a PRIME or not.
◦ And A is another integer that is greater than zero and
less than P.
◦ From Fermat’s Theorem, if P is a PRIME, it will satisfy
this two equalities:
A^(p-1) = 1(mod P) or A^(p-1)mod P = 1
A^P = A(mod P) or A^P mod P = A
◦ For instances, if P = 341, will P be PRIME?
-> from previous equalities, we would be able to
obtain that:
2^(341-1)mod 341 = 1, if A = 2
16. ◦ It seems that 341 is a prime number under Fermat’s
Theorem. However, if A is now equal to 3:
◦ 3^(341-1)mod 341 = 56 !!!
◦ That means Fermat’s Theorem is not true in this case!
17. Rabin-Miller’s Probabilistic Primality
Algorithm
◦ The Rabin-Miller’s Probabilistic Primality test was
by Rabin, based on Miller’s idea. This algorithm
provides a fast method of determining of primality
of a number with a controllably small probability of
error.
◦ Given (b, n), where n is the number to be tested for
primality, and b is randomly chosen in [1, n-1]. Let
n-1 = (2^q)*m, where m is an odd integer.
• b^m = 1(mod n)
• b^m = -1(mod n)
18. ◦ If the testing number satisfies either cases, it will be said as
“inconclusive”. That means it could be a prime number.
◦ From Fermat’s Theorem, it concludes 341 is a prime but it is 11 *
31!
◦ Now try to use Rabin-Miller’s Algorithm.
n = 401
n -1 = 400 = 24*25
k = 4, m = 25
a = 3
b0 = 325 = 268 (mod 401)
b1 = 325*2 = 45 (mod 401)
b2 = 325*22
= 20 (mod 401)
b3 = 325*23
= 400 (mod 401)
= -1 (mod 401
• Also, Let n be 341, b be 2. then assume:
◦ q = 2 and m = 85 (since, n -1 = 2^q*m)
◦ 2^85 mod 341 = 32
◦ Since it is not equal to 1, 341 is composite!