An introduction to numerical methods / Kharab, Abdelwahab (2002)

Public ISBD Titre : An introduction to numerical methods : a matlab approach Type de document : texte imprimé Auteurs : Kharab, Abdelwahab, Auteur ; Guenther, Ronald B, Auteur Editeur : Boca Raton [Etats-Unis] : Chapman & Hall / CRC Année de publication : 2002 Importance : 431 p. Présentation : ill. Format : 25 cm ISBN/ISSN/EAN : 978-1-58488-281-7 Note générale : Bibliogr. 389-391 p. Index Configuration requise : Systéme requis : Windows 95,98, 2000, ME, ou NT 4.x; processeur Pentium 1 ou sup. ; 16 MB RAM ; 15 MB d'espace disque ; CD-ROM drive (4x); SVGA moniteur à 800x600, 256 couleurs Langues : Français (fre) Mots-clés : Mathématiques Matlab Logiciel Analyse Numérique Sytèmes Numération Systèmes Équation Linéaire Matlab Analyse numérique -- Informatique Matlab (logiciel) Index. décimale : 519.6 Mathématique numérique. Analyse numérique. Programmation. (informatique). Science des ordinateurs. Résumé : Numerical methods are a mainstay of researchers and professionals across the many mathematics, scientific, and engineering disciplines. The importance of these methods combined with the power and widespread availability of desktop computers virtually demands that students in these fields be well-versed not only in the numerical techniques, but also in the use of a modern computational software package.An Introduction to Numerical Methods: A MATLAB Approach fulfills both these needs. Requiring only calculus and some basic programming concepts as background, it introduces readers to the theory and applications of the most commonly used techniques for solving numerical problems on a personal computer. It covers a wide range of useful algorithms, each presented with full details so that readers can visualize and interpret each step. The enclosed CD-ROM contains simple MATLAB functions that provide step-by-step explanations of the mechanisms behind the algorithm for each technique and guide readers through the necessary calculations.Emphasis on understanding how the methods work, a simple, direct style, and thorough coverage make this book an outstanding initiation that allows readers to see almost immediate results. It will boost confidence in the ability to master the subject and provide valuable experience in the use of MATLAB Note de contenu : Contents: 1 Introduction 2 Number System and Errors 3 Roots of Equations 4 System of Linear Equations 5 Interpolation 6 Interpolation with Spline Functions 7 The Method of Least Squares 8 Numerical Differentiation and Integration 9 Numerical Methods for Ordinary Differential Equations 10 Boundary-Value Problems 11 Eigenvalues and Eigenvectors 12 Partial Differential Equations An introduction to numerical methods : a matlab approach [texte imprimé] / Kharab, Abdelwahab, Auteur ; Guenther, Ronald B, Auteur . - Boca Raton [Etats-Unis] : Chapman & Hall / CRC, 2002 . - 431 p. : ill. ; 25 cm. ISBN : 978-1-58488-281-7 Bibliogr. 389-391 p. Index Configuration requise : Systéme requis : Windows 95,98, 2000, ME, ou NT 4.x; processeur Pentium 1 ou sup. ; 16 MB RAM ; 15 MB d'espace disque ; CD-ROM drive (4x); SVGA moniteur à 800x600, 256 couleurs Langues : Français (fre) Mots-clés : Mathématiques Matlab Logiciel Analyse Numérique Sytèmes Numération Systèmes Équation Linéaire Matlab Analyse numérique -- Informatique Matlab (logiciel) Index. décimale : 519.6 Mathématique numérique. Analyse numérique. Programmation. (informatique). Science des ordinateurs. Résumé : Numerical methods are a mainstay of researchers and professionals across the many mathematics, scientific, and engineering disciplines. The importance of these methods combined with the power and widespread availability of desktop computers virtually demands that students in these fields be well-versed not only in the numerical techniques, but also in the use of a modern computational software package.An Introduction to Numerical Methods: A MATLAB Approach fulfills both these needs. Requiring only calculus and some basic programming concepts as background, it introduces readers to the theory and applications of the most commonly used techniques for solving numerical problems on a personal computer. It covers a wide range of useful algorithms, each presented with full details so that readers can visualize and interpret each step. The enclosed CD-ROM contains simple MATLAB functions that provide step-by-step explanations of the mechanisms behind the algorithm for each technique and guide readers through the necessary calculations.Emphasis on understanding how the methods work, a simple, direct style, and thorough coverage make this book an outstanding initiation that allows readers to see almost immediate results. It will boost confidence in the ability to master the subject and provide valuable experience in the use of MATLAB Note de contenu : Contents: 1 Introduction 2 Number System and Errors 3 Roots of Equations 4 System of Linear Equations 5 Interpolation 6 Interpolation with Spline Functions 7 The Method of Least Squares 8 Numerical Differentiation and Integration 9 Numerical Methods for Ordinary Differential Equations 10 Boundary-Value Problems 11 Eigenvalues and Eigenvectors 12 Partial Differential Equations

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Blockchain and machine learning for IoT security / Mourade Azrour (2024)  

Public ISBD Titre : Blockchain and machine learning for IoT security Type de document : document électronique Auteurs : Mourade Azrour, Auteur ; Jamal Mabrouki, Auteur ; Azidine Guezzaz, Auteur ; Said Benkirane, Auteur Editeur : Boca Raton [Etats-Unis] : Chapman & Hall / CRC Année de publication : 2024 Importance : 1 fichier PDF Présentation : ill. ISBN/ISSN/EAN : 978-1-03-256344-2 Note générale : Mode d'accès : accès au texte intégral par : - authentification après inscription à la plateforme EBSCOhost ou - adresse IP de l'École. Index Langues : Anglais (eng) Mots-clés : Computer security Blockchains (Databases) Internet of things Index. décimale : 004.056 Sécurité Résumé : The Internet of Things (IoT) involves physical devices, cars, household appliances, and any other physical appliance equipped with sensors, software, and network connections to gather and communicate data. Nowadays, this technology is embedded in everything from simple smart devices, to wearable equipment, to complex industrial machinery and transportation infrastructures. On the other hand, IoT equipment has been designed without considering security issues. Consequently, there are many challenges in terms of protection against IoT threats, which can lead to distressing situations. In fact, unlike other technological solutions, there are few standards and guidelines governing the protection of IoT technology. Moreover, few users are aware of the risks associated with IoT systems.Hence, Blockchain and Machine Learning for IoT Security discusses various recent techniques and solutions related to IoT deployment, especially security and privacy. This book addresses a variety of subjects, including a comprehensive overview of the IoT, and covers in detail the security challenges at each layer by considering how both the architecture and underlying technologies are employed. As acknowledged experts in the field, the authors provide remediation solutions for impaired security, as well as mitigation methods, and offer both prevention and improvement suggestions.Key Features: Offers a unique perspective on IoT security by introducing Machine Learning and Blockchain solutions Presents a well-rounded overview of the most recent advances in IoT security and privacy Discusses practical solutions and real-world cases for IoT solutions in various areas Provides solutions for securing IoT against various threats Discusses Blockchain technology as a solution for IoT This book is designed to provide all the necessary knowledge for young researchers, academics, and industry professionals who want to understand the advantages of artificial intelligence technology, machine learning, data analysis methodology, and Blockchain for securing IoT technologies. Note de contenu : Summary of the book : 1. Google trend analysis of airport passenger throughputs: case study of murtala muhammed international airport 2. Blockchain technology overview: architecture, proposed and future trends 3. Innovative approach for optimized iot security based on spatial network voronoï diagrams, network centrality, and ml-enabled blockchain 4. The combination of blockchain and the internet of things (iot): applications, opportunities, and challenges for industry 5. Security issues in internet of medical things … En ligne : https://research.ebsco.com/linkprocessor/plink?id=57471609-6cf9-318c-b4b7-411279 [...] Blockchain and machine learning for IoT security [document électronique] / Mourade Azrour, Auteur ; Jamal Mabrouki, Auteur ; Azidine Guezzaz, Auteur ; Said Benkirane, Auteur . - Boca Raton [Etats-Unis] : Chapman & Hall / CRC, 2024 . - 1 fichier PDF : ill. ISBN : 978-1-03-256344-2 Mode d'accès : accès au texte intégral par : - authentification après inscription à la plateforme EBSCOhost ou - adresse IP de l'École. Index Langues : Anglais (eng) Mots-clés : Computer security Blockchains (Databases) Internet of things Index. décimale : 004.056 Sécurité Résumé : The Internet of Things (IoT) involves physical devices, cars, household appliances, and any other physical appliance equipped with sensors, software, and network connections to gather and communicate data. Nowadays, this technology is embedded in everything from simple smart devices, to wearable equipment, to complex industrial machinery and transportation infrastructures. On the other hand, IoT equipment has been designed without considering security issues. Consequently, there are many challenges in terms of protection against IoT threats, which can lead to distressing situations. In fact, unlike other technological solutions, there are few standards and guidelines governing the protection of IoT technology. Moreover, few users are aware of the risks associated with IoT systems.Hence, Blockchain and Machine Learning for IoT Security discusses various recent techniques and solutions related to IoT deployment, especially security and privacy. This book addresses a variety of subjects, including a comprehensive overview of the IoT, and covers in detail the security challenges at each layer by considering how both the architecture and underlying technologies are employed. As acknowledged experts in the field, the authors provide remediation solutions for impaired security, as well as mitigation methods, and offer both prevention and improvement suggestions.Key Features: Offers a unique perspective on IoT security by introducing Machine Learning and Blockchain solutions Presents a well-rounded overview of the most recent advances in IoT security and privacy Discusses practical solutions and real-world cases for IoT solutions in various areas Provides solutions for securing IoT against various threats Discusses Blockchain technology as a solution for IoT This book is designed to provide all the necessary knowledge for young researchers, academics, and industry professionals who want to understand the advantages of artificial intelligence technology, machine learning, data analysis methodology, and Blockchain for securing IoT technologies. Note de contenu : Summary of the book : 1. Google trend analysis of airport passenger throughputs: case study of murtala muhammed international airport 2. Blockchain technology overview: architecture, proposed and future trends 3. Innovative approach for optimized iot security based on spatial network voronoï diagrams, network centrality, and ml-enabled blockchain 4. The combination of blockchain and the internet of things (iot): applications, opportunities, and challenges for industry 5. Security issues in internet of medical things … En ligne : https://research.ebsco.com/linkprocessor/plink?id=57471609-6cf9-318c-b4b7-411279 [...]

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Computational mathematics / Robert Ernest White (2004)

Public ISBD Titre : Computational mathematics : models , methods ,and analysis with matlab and MPI Type de document : texte imprimé Auteurs : Robert Ernest White, Auteur Editeur : Boca Raton [Etats-Unis] : Chapman & Hall / CRC Année de publication : 2004 Importance : XVI, 385 p. Présentation : ill. Format : 25 cm ISBN/ISSN/EAN : 978-1-58488-364-7 Note générale : Bibliogr. p. 379-380. - Index Langues : Anglais (eng) Mots-clés : Differential equations, Partial Computational complexity MATLAB Numerical analysis Computer interfaces Parallel programming (Computer science) Index. décimale : 519.6 Mathématique numérique. Analyse numérique. Programmation. (informatique). Science des ordinateurs. Résumé : Focuses on multiprocessing algorithms that are implemented using message passing interface (MPI). This title includes Fortran 9x codes that illustrate the basic MPI subroutines. It is suitable for those who need to make numerical modeling and simulation integral parts of their investigational toolbox. Computational Mathematics: Models, Methods, and Analysis with MATLAB and MPI explores and illustrates this process. Each section of the first six chapters is motivated by a specific application. The author applies a model, selects a numerical method, implements computer simulations, and assesses the ensuing results. These chapters include an abundance of MATLAB code. By studying the code instead of using it as a "black box, " you take the first step toward more sophisticated numerical modeling. The last four chapters focus on multiprocessing algorithms implemented using message passing interface (MPI). These chapters include Fortran 9x codes that illustrate the basic MPI subroutines and revisit the applications of the previous chapters from a parallel implementation perspective. All of the codes are available for download from www4.ncsu.edu./~white. This book is not just about math, not just about computing, and not just about applications, but about all three--in other words, computational science. Whether used as an undergraduate textbook, for self-study, or for reference, it builds the foundation you need to make numerical modeling and simulation integral parts of your investigational toolbox. Note de contenu : Summary : 1. Introduction 2. Discrete time-space models 3. Steady state discrete models 4. Poisson equation models 5. Nonlinear and 3d models 6. Epidemics, images and money 7. High performance computing 8. Message passing interface 9. Classical methods for Ax = D 10. Krylov methods for Ax = D Computational mathematics : models , methods ,and analysis with matlab and MPI [texte imprimé] / Robert Ernest White, Auteur . - Boca Raton [Etats-Unis] : Chapman & Hall / CRC, 2004 . - XVI, 385 p. : ill. ; 25 cm. ISBN : 978-1-58488-364-7 Bibliogr. p. 379-380. - Index Langues : Anglais (eng) Mots-clés : Differential equations, Partial Computational complexity MATLAB Numerical analysis Computer interfaces Parallel programming (Computer science) Index. décimale : 519.6 Mathématique numérique. Analyse numérique. Programmation. (informatique). Science des ordinateurs. Résumé : Focuses on multiprocessing algorithms that are implemented using message passing interface (MPI). This title includes Fortran 9x codes that illustrate the basic MPI subroutines. It is suitable for those who need to make numerical modeling and simulation integral parts of their investigational toolbox. Computational Mathematics: Models, Methods, and Analysis with MATLAB and MPI explores and illustrates this process. Each section of the first six chapters is motivated by a specific application. The author applies a model, selects a numerical method, implements computer simulations, and assesses the ensuing results. These chapters include an abundance of MATLAB code. By studying the code instead of using it as a "black box, " you take the first step toward more sophisticated numerical modeling. The last four chapters focus on multiprocessing algorithms implemented using message passing interface (MPI). These chapters include Fortran 9x codes that illustrate the basic MPI subroutines and revisit the applications of the previous chapters from a parallel implementation perspective. All of the codes are available for download from www4.ncsu.edu./~white. This book is not just about math, not just about computing, and not just about applications, but about all three--in other words, computational science. Whether used as an undergraduate textbook, for self-study, or for reference, it builds the foundation you need to make numerical modeling and simulation integral parts of your investigational toolbox. Note de contenu : Summary : 1. Introduction 2. Discrete time-space models 3. Steady state discrete models 4. Poisson equation models 5. Nonlinear and 3d models 6. Epidemics, images and money 7. High performance computing 8. Message passing interface 9. Classical methods for Ax = D 10. Krylov methods for Ax = D

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Data mining with python / Di Wu (2024)  

Public ISBD Titre : Data mining with python : theory, application, and case studies Type de document : document électronique Auteurs : Di Wu, Auteur Editeur : Boca Raton [Etats-Unis] : Chapman & Hall / CRC Année de publication : 2024 Collection : The Python Series Importance : 1 fichier PDF Présentation : ill. ISBN/ISSN/EAN : 978-1-03-259890-1 Note générale : Mode d'accès : accès au texte intégral par : - authentification après inscription à la plateforme EBSCOhost ou - adresse IP de l'École. Index Langues : Anglais (eng) Mots-clés : Python (Computer program language) Data mining--Computer programs Index. décimale : 004.4 Logiciel. Programme Résumé : Data is everywhere and it's growing at an unprecedented rate. But making sense of all that data is a challenge. Data Mining is the process of discovering patterns and knowledge from large data sets, and Data Mining with Python focuses on the hands-on approach to learning Data Mining. It showcases how to use Python Packages to fulfill the Data Mining pipeline, which is to collect, integrate, manipulate, clean, process, organize, and analyze data for knowledge.The contents are organized based on the Data Mining pipeline, so readers can naturally progress step by step through the process. Topics, methods, and tools are explained in three aspects: “What it is” as a theoretical background, “why we need it” as an application orientation, and “how we do it” as a case study.This book is designed to give students, data scientists, and business analysts an understanding of Data Mining concepts in an applicable way. Through interactive tutorials that can be run, modified, and used for a more comprehensive learning experience, this book will help its readers to gain practical skills to implement Data Mining techniques in their work. Note de contenu : Summary of the book : 1. Data Wrangling 2. Data Analysis En ligne : https://research.ebsco.com/linkprocessor/plink?id=c1b72c8e-db8f-3633-8aac-02d82b [...] Data mining with python : theory, application, and case studies [document électronique] / Di Wu, Auteur . - Boca Raton [Etats-Unis] : Chapman & Hall / CRC, 2024 . - 1 fichier PDF : ill.. - (The Python Series) . ISBN : 978-1-03-259890-1 Mode d'accès : accès au texte intégral par : - authentification après inscription à la plateforme EBSCOhost ou - adresse IP de l'École. Index Langues : Anglais (eng) Mots-clés : Python (Computer program language) Data mining--Computer programs Index. décimale : 004.4 Logiciel. Programme Résumé : Data is everywhere and it's growing at an unprecedented rate. But making sense of all that data is a challenge. Data Mining is the process of discovering patterns and knowledge from large data sets, and Data Mining with Python focuses on the hands-on approach to learning Data Mining. It showcases how to use Python Packages to fulfill the Data Mining pipeline, which is to collect, integrate, manipulate, clean, process, organize, and analyze data for knowledge.The contents are organized based on the Data Mining pipeline, so readers can naturally progress step by step through the process. Topics, methods, and tools are explained in three aspects: “What it is” as a theoretical background, “why we need it” as an application orientation, and “how we do it” as a case study.This book is designed to give students, data scientists, and business analysts an understanding of Data Mining concepts in an applicable way. Through interactive tutorials that can be run, modified, and used for a more comprehensive learning experience, this book will help its readers to gain practical skills to implement Data Mining techniques in their work. Note de contenu : Summary of the book : 1. Data Wrangling 2. Data Analysis En ligne : https://research.ebsco.com/linkprocessor/plink?id=c1b72c8e-db8f-3633-8aac-02d82b [...]

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Graphs, algorithms, and optimization / William Kocay (2005)

Public ISBD Titre : Graphs, algorithms, and optimization Type de document : texte imprimé Auteurs : William Kocay, Auteur ; Donald L. Kreher, Auteur Editeur : Boca Raton [Etats-Unis] : Chapman & Hall / CRC Année de publication : 2005 Collection : Discrete mathematics and its applications Importance : 483 p. Présentation : ill. Format : 25 cm ISBN/ISSN/EAN : 978-1-58488-396-8 Note générale : Bibliogr p. 469-476. Index Langues : Anglais (eng) Mots-clés : Graphes, Théorie des Optimisation mathématique Graph algorithms Index. décimale : 519.17 Théorie des graphes Résumé : A valuable resource for mathematics and computer science students, Graphs, Algorithms and Optimization presents the theory of graphs from an algorithmic viewpoint. The authors cover the key topics in graph theory and introduce discrete optimization and its connection to graph theory. The book contains a wealth of information on algorithms and the data structures needed to program them efficiently. Many programming techniques used for algorithms, algorithmic complexity and efficiency, a chapter on NP-completeness and three chapters on linear optimization are also included. The graph theory presented is rigorous, but the style is informal. Note de contenu : * Graphs and Their Complements. * Paths and Walks. Some Special Classes of Graphs. * Trees and Cycles. The Structure of Trees. * Connectivity. Matchings. Network Flows. * Hamilton Cycles. ... Graphs, algorithms, and optimization [texte imprimé] / William Kocay, Auteur ; Donald L. Kreher, Auteur . - Boca Raton [Etats-Unis] : Chapman & Hall / CRC, 2005 . - 483 p. : ill. ; 25 cm. - (Discrete mathematics and its applications) . ISBN : 978-1-58488-396-8 Bibliogr p. 469-476. Index Langues : Anglais (eng) Mots-clés : Graphes, Théorie des Optimisation mathématique Graph algorithms Index. décimale : 519.17 Théorie des graphes Résumé : A valuable resource for mathematics and computer science students, Graphs, Algorithms and Optimization presents the theory of graphs from an algorithmic viewpoint. The authors cover the key topics in graph theory and introduce discrete optimization and its connection to graph theory. The book contains a wealth of information on algorithms and the data structures needed to program them efficiently. Many programming techniques used for algorithms, algorithmic complexity and efficiency, a chapter on NP-completeness and three chapters on linear optimization are also included. The graph theory presented is rigorous, but the style is informal. Note de contenu : * Graphs and Their Complements. * Paths and Walks. Some Special Classes of Graphs. * Trees and Cycles. The Structure of Trees. * Connectivity. Matchings. Network Flows. * Hamilton Cycles. ...

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Introduction to codig theory / Jurgen Bierbrauer (2005)

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Markov chain Monte Carlo in practice (1996)

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Markov chain monte carlo / Gamerman, Dani. (2006)

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Solution technique for elementary partial diffrential equation / Christian Constanda (2002)

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The art of modeling in science and engineering / Diran Basmadjian (1999)

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