Documents disponibles chez cet éditeur

Probability and statistics in engineering / William W. Hines

Public ISBD Titre : Probability and statistics in engineering Type de document : texte imprimé Auteurs : William W. Hines, Auteur ; Douglas C. Montgomery, Auteur ; David M. Goldsman, Auteur Mention d'édition : 4th. ed. Editeur : USA : John wiley & Sons Année de publication : 2003 Importance : 655 p. Présentation : couv. ill. en coul. Format : 26 cm. ISBN/ISSN/EAN : 978-0-471-24087-7 Langues : Anglais (eng) Catégories : MATHEMATIQUES Index. décimale : 04-05 Probabilité et statistique Résumé : Now with even more examples with real data, real-world applications, and computer exercise, the Fourth Edition of this accessible text prepares you for situations you're likely to encounter as a professionakl engineer. Together with new co-authors David Goldsman and Connie Borror, William Hines and Douglas Montgomery have refined their highly effective pedagogical framework to make their text even more user friendly. This Fourth Edition also features a new chapter on statistical methods for computer situation, as well exceptionally clear statistical coverage, expanded discussions of quiality control, experimental design, and different types of interval estimation, and coverage of such special topics as nonparametric statistics, p-values in hypothetical testing, and residual analysis. Highlights of the Fourth Edition: New examples and applications provide a real-world perspective on how engineers use probability and statistics in professional practice. Over 600 exercises, including many new computation problems, provide opportunities for hands-on learning.An entirely new chapter on statistical methods for computer simulation methods covers Monte Carlo experimentation, random number and variate generation, and simulation output data analysis. New chapter organization starts with probability theory and progresses through random variables, discrete and continuous distributions, and normal distribution, before introducing statistics and data description techniques. Each chapter starts with an introduction that describes the importance of the topic and features interesting historical information related to the topic. End-of-chapter summaries reinforce the main topics and goals of the chapter. Note de contenu : Contents 1. An Introduction to Probability 2. One-Dimensional Random Variables 3. Functions of One Random Variable and Expectation 4. Joint Probability Distributions 5. Some Important Discrete Distributions 6. Some Important Continuous Distributions 7. The Normal Distribution 8. Introduction to Statistics and Data Description 9. Random Samples and Sampling Distributions 10. Parameter Estimation 11. Tests of Hypotheses 12. Design and Analysis of Single-Factor Experiments: The Analysis of Variance 13. Design of Experiments with Several Factors 14. Simple Linear Regression and Correlation 15. Multiple Regression 16. Nonparametric Statistics 17. Statistical Quality Control and Reliability Engineering 18. Stochastic Processes and Queueing 19. Computer Simulation. -Appendix -Index Probability and statistics in engineering [texte imprimé] / William W. Hines, Auteur ; Douglas C. Montgomery, Auteur ; David M. Goldsman, Auteur  . -  4th. ed. . - USA : John wiley & Sons, 2003 . - 655 p. : couv. ill. en coul. ; 26 cm. ISBN : 978-0-471-24087-7 Langues : Anglais (eng) Catégories : MATHEMATIQUES Index. décimale : 04-05 Probabilité et statistique Résumé : Now with even more examples with real data, real-world applications, and computer exercise, the Fourth Edition of this accessible text prepares you for situations you're likely to encounter as a professionakl engineer. Together with new co-authors David Goldsman and Connie Borror, William Hines and Douglas Montgomery have refined their highly effective pedagogical framework to make their text even more user friendly. This Fourth Edition also features a new chapter on statistical methods for computer situation, as well exceptionally clear statistical coverage, expanded discussions of quiality control, experimental design, and different types of interval estimation, and coverage of such special topics as nonparametric statistics, p-values in hypothetical testing, and residual analysis. Highlights of the Fourth Edition: New examples and applications provide a real-world perspective on how engineers use probability and statistics in professional practice. Over 600 exercises, including many new computation problems, provide opportunities for hands-on learning.An entirely new chapter on statistical methods for computer simulation methods covers Monte Carlo experimentation, random number and variate generation, and simulation output data analysis. New chapter organization starts with probability theory and progresses through random variables, discrete and continuous distributions, and normal distribution, before introducing statistics and data description techniques. Each chapter starts with an introduction that describes the importance of the topic and features interesting historical information related to the topic. End-of-chapter summaries reinforce the main topics and goals of the chapter. Note de contenu : Contents 1. An Introduction to Probability 2. One-Dimensional Random Variables 3. Functions of One Random Variable and Expectation 4. Joint Probability Distributions 5. Some Important Discrete Distributions 6. Some Important Continuous Distributions 7. The Normal Distribution 8. Introduction to Statistics and Data Description 9. Random Samples and Sampling Distributions 10. Parameter Estimation 11. Tests of Hypotheses 12. Design and Analysis of Single-Factor Experiments: The Analysis of Variance 13. Design of Experiments with Several Factors 14. Simple Linear Regression and Correlation 15. Multiple Regression 16. Nonparametric Statistics 17. Statistical Quality Control and Reliability Engineering 18. Stochastic Processes and Queueing 19. Computer Simulation. -Appendix -Index

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Code-barres	Cote	Support	Localisation	Section	Disponibilité	N.Inventaire
1670	04-05-06	Livre	Bibliothèque de Génie Electrique- USTO	Documentaires	Exclu du prêt	1670

Pattern classification / Richard O. Duda

Public ISBD Titre : Pattern classification Type de document : texte imprimé Auteurs : Richard O. Duda, Auteur ; Peter E. Hart, Auteur ; David G. Stork, Auteur Mention d'édition : 2nd. ed. Editeur : USA : John wiley & Sons Année de publication : 2001 Importance : 654 p. Présentation : couv. ill. en coul. Format : 26 cm. ISBN/ISSN/EAN : 978-0-471-05669-3 Langues : Anglais (eng) Catégories : MATHEMATIQUES Index. décimale : 04-06 Analyse numérique Résumé : The first edition, published in 1973, has become a classic reference in the field. Now with the second edition, readers will find information on key new topics such as neural networks and statistical pattern recognition, the theory of machine learning, and the theory of invariances. Also included are worked examples, comparisons between different methods, extensive graphics, expanded exercises and computer project topics. Note de contenu : Table of contents 1 Introduction 2 Bayesian Decision Theory. 3 Maximum-Likelihood and Bayesian Parameter Estimation. 4 Nonparametric Techniques. 5 Linear Discriminant Functions. 6 Multilayer Neural Networks. 7 Stochastic Methods. 8 Nonmetric Methods. 9 Algorithm-Independent Machine Learning. 10 Unsupervised Learning and Clustering. -Appendix. -Index Pattern classification [texte imprimé] / Richard O. Duda, Auteur ; Peter E. Hart, Auteur ; David G. Stork, Auteur  . -  2nd. ed. . - USA : John wiley & Sons, 2001 . - 654 p. : couv. ill. en coul. ; 26 cm. ISSN : 978-0-471-05669-3 Langues : Anglais (eng) Catégories : MATHEMATIQUES Index. décimale : 04-06 Analyse numérique Résumé : The first edition, published in 1973, has become a classic reference in the field. Now with the second edition, readers will find information on key new topics such as neural networks and statistical pattern recognition, the theory of machine learning, and the theory of invariances. Also included are worked examples, comparisons between different methods, extensive graphics, expanded exercises and computer project topics. Note de contenu : Table of contents 1 Introduction 2 Bayesian Decision Theory. 3 Maximum-Likelihood and Bayesian Parameter Estimation. 4 Nonparametric Techniques. 5 Linear Discriminant Functions. 6 Multilayer Neural Networks. 7 Stochastic Methods. 8 Nonmetric Methods. 9 Algorithm-Independent Machine Learning. 10 Unsupervised Learning and Clustering. -Appendix. -Index

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Code-barres	Cote	Support	Localisation	Section	Disponibilité	N.Inventaire
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Matlab Tutor CD: Learning Matlab Superfast! / Brian L.F. Daku

Public ISBD Titre : Matlab Tutor CD: Learning Matlab Superfast! Type de document : texte imprimé Auteurs : Brian L.F. Daku, Auteur Editeur : USA : John wiley & Sons Année de publication : 2006 Importance : 162 p. Présentation : couv. ill. en coul. Format : 23 cm. Accompagnement : CD-ROM ISBN/ISSN/EAN : 978-0-471-27469-8 Langues : Anglais (eng) Catégories : INFORMATIQUE Index. décimale : 08-02 Logiciels et programmation Résumé : Synopsis: An interactive, self-paced tutorial that trains readers on one of today's most widely used computational tools in engineering practice. With this program, anyone can get up and running with MATLAB - quickly and easily. The software and its accompanying primer enable users to learn, practice, and master fundamental MATLAB commands. You'll get: - An interactive tutorial that trains you in one of today's most widely used computational tools in engineering practice - A brief printed MATLAB primer for easy reference - Valuable exercises that let you learn at your own pace - The software and its accompanying primer which will enable you to learn, practice, and master fundamental MATLAB commands From the Back Cover: Learn how to use MATLAB––quickly and easily! Brian Daku’s MATLAB Tutorial CD: Learning MATLAB SuperFast offers students a manageable, accessible, and affordable way to learn how to use this powerful programming tool, without the help of an instructor or even the necessity of having MATLAB installed on your computer––it’s all in there! The CD even includes a special version of MATLAB that allows you to run all of the tutorial exercises in a real MATLAB environment. The book and CD work together, providing an interactive and self-paced learning environment. Rather than covering every aspect of MATLAB, they present a set of core MATLAB operators and commands at a level that is suitable even for freshman. The CD includes a set of computer-based lectures that guide you through new concepts and syntax using audio, video, and interactive exercises at your own pace. Users say a real upside is the complete lack of need of any intervention on the part of the professor––students never get bogged down. Note de contenu : Contents 1-Introduction 2-Quickstart Lessons 3-User Interface 4-MATLAB Operators 5-MATLAB Functions 6-Plotting 7-MATLAB Programs A-Web Material -Index Matlab Tutor CD: Learning Matlab Superfast! [texte imprimé] / Brian L.F. Daku, Auteur . - USA : John wiley & Sons, 2006 . - 162 p. : couv. ill. en coul. ; 23 cm. + CD-ROM. ISBN : 978-0-471-27469-8 Langues : Anglais (eng) Catégories : INFORMATIQUE Index. décimale : 08-02 Logiciels et programmation Résumé : Synopsis: An interactive, self-paced tutorial that trains readers on one of today's most widely used computational tools in engineering practice. With this program, anyone can get up and running with MATLAB - quickly and easily. The software and its accompanying primer enable users to learn, practice, and master fundamental MATLAB commands. You'll get: - An interactive tutorial that trains you in one of today's most widely used computational tools in engineering practice - A brief printed MATLAB primer for easy reference - Valuable exercises that let you learn at your own pace - The software and its accompanying primer which will enable you to learn, practice, and master fundamental MATLAB commands From the Back Cover: Learn how to use MATLAB––quickly and easily! Brian Daku’s MATLAB Tutorial CD: Learning MATLAB SuperFast offers students a manageable, accessible, and affordable way to learn how to use this powerful programming tool, without the help of an instructor or even the necessity of having MATLAB installed on your computer––it’s all in there! The CD even includes a special version of MATLAB that allows you to run all of the tutorial exercises in a real MATLAB environment. The book and CD work together, providing an interactive and self-paced learning environment. Rather than covering every aspect of MATLAB, they present a set of core MATLAB operators and commands at a level that is suitable even for freshman. The CD includes a set of computer-based lectures that guide you through new concepts and syntax using audio, video, and interactive exercises at your own pace. Users say a real upside is the complete lack of need of any intervention on the part of the professor––students never get bogged down. Note de contenu : Contents 1-Introduction 2-Quickstart Lessons 3-User Interface 4-MATLAB Operators 5-MATLAB Functions 6-Plotting 7-MATLAB Programs A-Web Material -Index

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1019/1	08-02-26	Livre	Bibliothèque de Génie Electrique- USTO	Documentaires	Exclu du prêt	1019/1

Computing for Numerical Methods Using Visual C++ / Salleh Shaharuddin

Public ISBD Titre : Computing for Numerical Methods Using Visual C++ Type de document : texte imprimé Auteurs : Salleh Shaharuddin, Auteur ; Albert Y. Zomaya, Auteur ; Sakhinah Abu Bakar, Auteur Editeur : USA : John wiley & Sons Année de publication : 2008 Importance : 448 p. Présentation : couv. ill. en coul. Format : 25 cm. ISBN/ISSN/EAN : 978-0-470-12795-7 Langues : Anglais (eng) Catégories : INFORMATIQUE Index. décimale : 08-02 Logiciels et programmation Résumé : A visual, interdisciplinary approach to solving problems in numerical methods Computing for Numerical Methods Using Visual C++ fills the need for a complete, authoritative book on the visual solutions to problems in numerical methods using C++. In an age of boundless research, there is a need for a programming language that can successfully bridge the communication gap between a problem and its computing elements through the use of visual–ization for engineers and members of varying disciplines, such as biologists, medical doctors, mathematicians, economists, and politicians. This book takes an interdisciplinary approach to the subject and demonstrates how solving problems in numerical methods using C++ is dominant and practical for implementation due to its flexible language format, object–oriented methodology, and support for high numerical precisions. In an accessible, easy–to–follow style, the authors cover: Numerical modeling using C++ Fundamental mathematical tools MFC interfaces Curve visualization Systems of linear equations Nonlinear equations Interpolation and approximation Differentiation and integration Eigenvalues and Eigenvectors Ordinary differential equations Partial differential equations This reader–friendly book includes a companion Web site, giving readers free access to all of the codes discussed in the book as well as an equation parser called "MyParser" that can be used to develop various numerical applications on Windows. Computing for Numerical Methods Using Visual C++ serves as an excellent reference for students in upper undergraduate– and graduate–level courses in engineering, science, and mathematics. It is also an ideal resource for practitioners using Microsoft Visual C++ Note de contenu : Contents 1-Modeling and Simulation 1.1 Numerical Approximation 1.2 C++ for Numerical Modeling 1.3 Mathematical Modeling 1.4 Simulation and Its Visualization 1.5 Numerical Methods 1.6 Numerical Applications 2-Fundamental Tools for Mathematical Computing 2.1 C++ for High‐Performance Computing 2.2 Dynamic Memory Allocation 2.3 Matrix Reduction Problems 2.4 Matrix Algebra 2.5 Algebra of Complex Numbers 2.6 Number Sorting Summary Programming Challenges 3-Numerical Interface Designs 3.1 Microsoft Foundation Classes 3.2 Graphics Device Interface 3.4 Writing a Basic Windows Program 3.5 Displaying Text and Graphics 3.6 Events and Methods 3.7 Standard Control Resources 3.8 Menu and File I/O 3.9 Keyboard Control 3.10 MFC Compatibility with .Net Summary 4-Curve Visualization 4.1 Tools for Visualization 4.2 MyParser 4.3 Drawing Curves 4.4 Generating Curves Using MyParser 4.5 Summary 4.6 Programming Challenges 5-Systems of Linear Equations 5.1 Introduction 5.2 Existence of Solutions 5.3 Gaussian Elimination Techniques 5.4 LU Factorization Methods 5.5 Iterative Techniques 5.6 Visualizing the Solution: Code5 5.7 Summary 5.8 Numerical Exercises 5.9 Programming Challenges 6-Nonlinear Equations 6.1 Introduction 6.2 Existence of Solutions 6.3 Bisection Method 6.4 False Position Method 6.5 Newton–Raphson Method 6.6 Secant Method 6.7 Fixed‐Point Iteration Method 6.8 Visual Solution: Code6 6.9 Summary 6.10 Numerical Exercises 6.11 Programming Challenges 7-Interpolation and Approximation 7.1 Curve Fitting 7.2 Lagrange Interpolation 7.3 Newton Interpolations 7.4 Cubic Spline 7.5 Least‐Squares Approximation 7.6 Visual Solution: Code7 7.7 Summary 7.8 Numerical Exercises 7.9 Programming Challenges 8-Differentiation and Integration 8.1 Introduction 8.2 Numerical Differentiation 8.3 Numerical Integration 8.4 Visual Solution: Code8 8.5 Summary 8.6 Numerical Exercises 8.7 Programming Challenges 9-Eigenvalues and Eigenvectors 9.1 Eigenvalues and Their Significance 9.2 Exact Solution and Its Existence 9.3 Power Method 9.4 Shifted Power Method 9.5 QR Method 9.6 Visual Solution: Code9 9.7 Summary 9.8 Numerical Exercises 9.9 Programming Challenges 10-Ordinary Differential Equations 10.1 Introduction 10.2 Initial‐Value Problem for First‐Order ODE 10.3 Taylor Series Method 10.4 Runge–Kutta of Order 2 Method 10.5 Runge–Kutta of Order 4 Method 10.6 Predictor‐Corrector Multistep Method 10.7 System of First‐Order ODEs 10.8 Second‐Order ODE 10.9 Initial‐Value Problem for Second‐Order ODE 10.10 Finite‐Difference Method for Second‐Order ODE 10.11 Differentiated Boundary Conditions 10.12 Visual Solution: Code10 10.13 Summary 10.14 Numerical Exercises 10.15 Programming Challenges 11-Partial Differential Equations 11.1 Introduction 11.2 Poisson's Equation 11.3 Laplace's Equation 11.4 Heat Equation 11.5 Wave Equation 11.6 Visual Solution: Code11 11.7 Summary 11.8 Numerical Exercises 11.9 Programming Exercises -Index Computing for Numerical Methods Using Visual C++ [texte imprimé] / Salleh Shaharuddin, Auteur ; Albert Y. Zomaya, Auteur ; Sakhinah Abu Bakar, Auteur . - USA : John wiley & Sons, 2008 . - 448 p. : couv. ill. en coul. ; 25 cm. ISBN : 978-0-470-12795-7 Langues : Anglais (eng) Catégories : INFORMATIQUE Index. décimale : 08-02 Logiciels et programmation Résumé : A visual, interdisciplinary approach to solving problems in numerical methods Computing for Numerical Methods Using Visual C++ fills the need for a complete, authoritative book on the visual solutions to problems in numerical methods using C++. In an age of boundless research, there is a need for a programming language that can successfully bridge the communication gap between a problem and its computing elements through the use of visual–ization for engineers and members of varying disciplines, such as biologists, medical doctors, mathematicians, economists, and politicians. This book takes an interdisciplinary approach to the subject and demonstrates how solving problems in numerical methods using C++ is dominant and practical for implementation due to its flexible language format, object–oriented methodology, and support for high numerical precisions. In an accessible, easy–to–follow style, the authors cover: Numerical modeling using C++ Fundamental mathematical tools MFC interfaces Curve visualization Systems of linear equations Nonlinear equations Interpolation and approximation Differentiation and integration Eigenvalues and Eigenvectors Ordinary differential equations Partial differential equations This reader–friendly book includes a companion Web site, giving readers free access to all of the codes discussed in the book as well as an equation parser called "MyParser" that can be used to develop various numerical applications on Windows. Computing for Numerical Methods Using Visual C++ serves as an excellent reference for students in upper undergraduate– and graduate–level courses in engineering, science, and mathematics. It is also an ideal resource for practitioners using Microsoft Visual C++ Note de contenu : Contents 1-Modeling and Simulation 1.1 Numerical Approximation 1.2 C++ for Numerical Modeling 1.3 Mathematical Modeling 1.4 Simulation and Its Visualization 1.5 Numerical Methods 1.6 Numerical Applications 2-Fundamental Tools for Mathematical Computing 2.1 C++ for High‐Performance Computing 2.2 Dynamic Memory Allocation 2.3 Matrix Reduction Problems 2.4 Matrix Algebra 2.5 Algebra of Complex Numbers 2.6 Number Sorting Summary Programming Challenges 3-Numerical Interface Designs 3.1 Microsoft Foundation Classes 3.2 Graphics Device Interface 3.4 Writing a Basic Windows Program 3.5 Displaying Text and Graphics 3.6 Events and Methods 3.7 Standard Control Resources 3.8 Menu and File I/O 3.9 Keyboard Control 3.10 MFC Compatibility with .Net Summary 4-Curve Visualization 4.1 Tools for Visualization 4.2 MyParser 4.3 Drawing Curves 4.4 Generating Curves Using MyParser 4.5 Summary 4.6 Programming Challenges 5-Systems of Linear Equations 5.1 Introduction 5.2 Existence of Solutions 5.3 Gaussian Elimination Techniques 5.4 LU Factorization Methods 5.5 Iterative Techniques 5.6 Visualizing the Solution: Code5 5.7 Summary 5.8 Numerical Exercises 5.9 Programming Challenges 6-Nonlinear Equations 6.1 Introduction 6.2 Existence of Solutions 6.3 Bisection Method 6.4 False Position Method 6.5 Newton–Raphson Method 6.6 Secant Method 6.7 Fixed‐Point Iteration Method 6.8 Visual Solution: Code6 6.9 Summary 6.10 Numerical Exercises 6.11 Programming Challenges 7-Interpolation and Approximation 7.1 Curve Fitting 7.2 Lagrange Interpolation 7.3 Newton Interpolations 7.4 Cubic Spline 7.5 Least‐Squares Approximation 7.6 Visual Solution: Code7 7.7 Summary 7.8 Numerical Exercises 7.9 Programming Challenges 8-Differentiation and Integration 8.1 Introduction 8.2 Numerical Differentiation 8.3 Numerical Integration 8.4 Visual Solution: Code8 8.5 Summary 8.6 Numerical Exercises 8.7 Programming Challenges 9-Eigenvalues and Eigenvectors 9.1 Eigenvalues and Their Significance 9.2 Exact Solution and Its Existence 9.3 Power Method 9.4 Shifted Power Method 9.5 QR Method 9.6 Visual Solution: Code9 9.7 Summary 9.8 Numerical Exercises 9.9 Programming Challenges 10-Ordinary Differential Equations 10.1 Introduction 10.2 Initial‐Value Problem for First‐Order ODE 10.3 Taylor Series Method 10.4 Runge–Kutta of Order 2 Method 10.5 Runge–Kutta of Order 4 Method 10.6 Predictor‐Corrector Multistep Method 10.7 System of First‐Order ODEs 10.8 Second‐Order ODE 10.9 Initial‐Value Problem for Second‐Order ODE 10.10 Finite‐Difference Method for Second‐Order ODE 10.11 Differentiated Boundary Conditions 10.12 Visual Solution: Code10 10.13 Summary 10.14 Numerical Exercises 10.15 Programming Challenges 11-Partial Differential Equations 11.1 Introduction 11.2 Poisson's Equation 11.3 Laplace's Equation 11.4 Heat Equation 11.5 Wave Equation 11.6 Visual Solution: Code11 11.7 Summary 11.8 Numerical Exercises 11.9 Programming Exercises -Index

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1562	08-02-32	Livre	Bibliothèque de Génie Electrique- USTO	Documentaires	Exclu du prêt	1562

Engineering and Scientific Computations Using MATLAB / Sergey E. Lyshevski

Public ISBD Titre : Engineering and Scientific Computations Using MATLAB Type de document : texte imprimé Auteurs : Sergey E. Lyshevski, Auteur Editeur : USA : John wiley & Sons Année de publication : 2003 Importance : 227 p. Présentation : couv. ill. en coul. Format : 28 cm. ISBN/ISSN/EAN : 978-0-471-46200-2 Langues : Anglais (eng) Catégories : INFORMATIQUE Index. décimale : 08-02 Logiciels et programmation Résumé : The MATLAB–– "MATrix LABoratory"––computational environment offers a rich set of capabilities to efficiently solve a variety of complex analysis, simulation, and optimization problems. Flexible, powerful, and relatively easy to use, the MATLAB environment has become a standard cost–effective tool within the engineering, science, and technology communities. Excellent as a self–teaching guide for professionals as well as a textbook for students, Engineering and Scientific Computations Using MATLAB helps you fully understand the MATLAB environment, build your skills, and apply its features to a wide range of applications. Going beyond traditional MATLAB user manuals and college texts, Engineering and Scientific Computations Using MATLAB guides you through the most important aspects and basics of MATLAB programming and problem–solving from fundamentals to practice. Augmenting its discussion with a wealth of practical worked–out examples and qualitative illustrations, this book demonstrates MATLAB′s capabilities and offers step–by–step instructions on how to apply the theory to a practical real–world problem. In particular, the book features: ∗ Coverage of a variety of complex physical and engineering systems described by nonlinear differential equations ∗ Detailed application of MATLAB to electromechanical systems MATLAB files, scripts, and statements, as well as SIMULINK models which can be easily modified for application–specific problems encountered in practice Readable, user–friendly, and comprehensive in scope this is a welcome introduction to MATLAB for those new to the program and an ideal companion for engineers seeking in–depth mastery of the high–performance MATLAB environment. Note de contenu : Contents 1 MATLAB Basics. 2 MATLAB Functions, Operators, and Commands. 3 MATLAB and Problem Solving. 4 MATLAB Graphics. 5 MATLAB Applications: Numerical Simulations of Differential Equations and Introduction to Dynamic Systems. 6 SIMULINK. -Appendix: MATLAB Functions, Operators, Characters, Commands, and Solvers. -Index. Engineering and Scientific Computations Using MATLAB [texte imprimé] / Sergey E. Lyshevski, Auteur . - USA : John wiley & Sons, 2003 . - 227 p. : couv. ill. en coul. ; 28 cm. ISBN : 978-0-471-46200-2 Langues : Anglais (eng) Catégories : INFORMATIQUE Index. décimale : 08-02 Logiciels et programmation Résumé : The MATLAB–– "MATrix LABoratory"––computational environment offers a rich set of capabilities to efficiently solve a variety of complex analysis, simulation, and optimization problems. Flexible, powerful, and relatively easy to use, the MATLAB environment has become a standard cost–effective tool within the engineering, science, and technology communities. Excellent as a self–teaching guide for professionals as well as a textbook for students, Engineering and Scientific Computations Using MATLAB helps you fully understand the MATLAB environment, build your skills, and apply its features to a wide range of applications. Going beyond traditional MATLAB user manuals and college texts, Engineering and Scientific Computations Using MATLAB guides you through the most important aspects and basics of MATLAB programming and problem–solving from fundamentals to practice. Augmenting its discussion with a wealth of practical worked–out examples and qualitative illustrations, this book demonstrates MATLAB′s capabilities and offers step–by–step instructions on how to apply the theory to a practical real–world problem. In particular, the book features: ∗ Coverage of a variety of complex physical and engineering systems described by nonlinear differential equations ∗ Detailed application of MATLAB to electromechanical systems MATLAB files, scripts, and statements, as well as SIMULINK models which can be easily modified for application–specific problems encountered in practice Readable, user–friendly, and comprehensive in scope this is a welcome introduction to MATLAB for those new to the program and an ideal companion for engineers seeking in–depth mastery of the high–performance MATLAB environment. Note de contenu : Contents 1 MATLAB Basics. 2 MATLAB Functions, Operators, and Commands. 3 MATLAB and Problem Solving. 4 MATLAB Graphics. 5 MATLAB Applications: Numerical Simulations of Differential Equations and Introduction to Dynamic Systems. 6 SIMULINK. -Appendix: MATLAB Functions, Operators, Characters, Commands, and Solvers. -Index.

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Computing Concepts with C++ Essentials / Cay Horstmann

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IP telephony With H.323 / Vineet Kumar

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FTTX Concepts and applications / Gerd Keiser

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Cooperating embedded systems and wireless sensor networks / Michel Banatre

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Modeling and Optimization of LCD Optical Performance / Dmitry A. Yakovlev

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Optoelectronic sensors / Didier Decoster

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Protocols and architectures for wireless sensor networks / Holger Karl

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Cooling Techniques for Electronic Equipment / Daves S. Steinberg

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Grounding and Shielding Techniques / Ralph Morrison

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The Finite Element Method in Electromagnetics / Jianming Jin

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