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Matlab guide / Desmond J. Higham

Public ISBD Titre : Matlab guide Type de document : texte imprimé Auteurs : Desmond J. Higham, Auteur ; Nicolas J. Higham, Auteur Mention d'édition : 2nd. ed. Editeur : Philadelphia : SIAM Année de publication : 2005 Importance : 382 p. Présentation : couv. ill. en coul., ill. Format : 26 cm. ISBN/ISSN/EAN : 978-0-89871-578-1 Langues : Anglais (eng) Catégories : INFORMATIQUE Index. décimale : 08-02 Logiciels et programmation Résumé : MATLAB is an interactive system for numerical computation that is widely used for teaching and research in industry and academia. It provides a modern programming language and problem solving environment, with powerful data structures, customizable graphics, and easy-to-use editing and debugging tools. This second edition of MATLAB Guide completely revises and updates the best-selling first edition and is more than 30% longer. The book remains a lively, concise introduction to the most popular and important features of MATLAB 7 and the Symbolic Math Toolbox. Thorough treatment of MATLAB mathematics, including the linear algebra and numerical analysis functions and the differential equation solvers A new chapter, Case Studies, presents more substantial examples of the use of MATLAB in a variety of modern applications A Web page for the book at http://www.siam.org/books/ot92 provides example M-files, updates, and links to MATLAB resources Note de contenu : Table of Contents 1. A brief tutorial 2. Basics 3. Distinctive features of MATLAB 4. Arithmetic 5. Matrices 6. Operators and flow control 7. M-files 8. Graphics 9. Linear algebra 10. More on functions 11. Numerical methods Part I 12. Numerical methods Part II 13. Input and output 14. Troubleshooting 15. Sparse matrices 16. Further M-files 17. Handle graphics 18. Other data types and multidimensional arrays 19. The symbolic math toolbox 20. Optimizing M-files 21. Tricks and tips 22. Case studies -Appendices -Bibliography -Index. Matlab guide [texte imprimé] / Desmond J. Higham, Auteur ; Nicolas J. Higham, Auteur  . -  2nd. ed. . - Philadelphia : SIAM, 2005 . - 382 p. : couv. ill. en coul., ill. ; 26 cm. ISBN : 978-0-89871-578-1 Langues : Anglais (eng) Catégories : INFORMATIQUE Index. décimale : 08-02 Logiciels et programmation Résumé : MATLAB is an interactive system for numerical computation that is widely used for teaching and research in industry and academia. It provides a modern programming language and problem solving environment, with powerful data structures, customizable graphics, and easy-to-use editing and debugging tools. This second edition of MATLAB Guide completely revises and updates the best-selling first edition and is more than 30% longer. The book remains a lively, concise introduction to the most popular and important features of MATLAB 7 and the Symbolic Math Toolbox. Thorough treatment of MATLAB mathematics, including the linear algebra and numerical analysis functions and the differential equation solvers A new chapter, Case Studies, presents more substantial examples of the use of MATLAB in a variety of modern applications A Web page for the book at http://www.siam.org/books/ot92 provides example M-files, updates, and links to MATLAB resources Note de contenu : Table of Contents 1. A brief tutorial 2. Basics 3. Distinctive features of MATLAB 4. Arithmetic 5. Matrices 6. Operators and flow control 7. M-files 8. Graphics 9. Linear algebra 10. More on functions 11. Numerical methods Part I 12. Numerical methods Part II 13. Input and output 14. Troubleshooting 15. Sparse matrices 16. Further M-files 17. Handle graphics 18. Other data types and multidimensional arrays 19. The symbolic math toolbox 20. Optimizing M-files 21. Tricks and tips 22. Case studies -Appendices -Bibliography -Index.

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3740	08-02-82	Livre	Bibliothèque de Génie Electrique- USTO	Documentaires	Exclu du prêt	3740
3741	08-02-82	Livre	Bibliothèque de Génie Electrique- USTO	Documentaires	Exclu du prêt	3741
3742	08-02-82	Livre	Bibliothèque de Génie Electrique- USTO	Documentaires	Exclu du prêt	3742

Image Processing and Analysis / Tony F. Chan

Public ISBD Titre : Image Processing and Analysis : variational, PDE, wavelet, and stochastic methods Type de document : texte imprimé Auteurs : Tony F. Chan, Auteur ; Jianhong (Jackie) Shen, Auteur Editeur : Philadelphia : SIAM Année de publication : 2005 Importance : 400 p. Présentation : couv. ill.,ill. Format : 25,2 cm. ISBN/ISSN/EAN : 978-0-89871-589-7 Langues : Anglais (eng) Catégories : AUTOMATISME Index. décimale : 25-05 Application du traitement numérique du signal Résumé : At no other time in human history have the influence and impact of image processing on modern society, science, and technology been so explosive. Image processing has become a critical component in contemporary science and technology and has many important applications. This book develops the mathematical foundation of modern image processing and low-level computer vision, and presents a general framework from the analysis of image structures and patterns to their processing. The core mathematical and computational ingredients of several important image processing tasks are investigated. The book bridges contemporary mathematics with state-of-the-art methodologies in modern image processing while organizing the vast contemporary literature into a coherent and logical structure. Image processing has traditionally been built on the machinery of Fourier and spectral analysis; however, in the past few decades numerous novel competing methods and tools have emerged. These diversified approaches, although seemingly distinct, are in fact intrinsically connected. The authors integrate this diversity of modern image processing approaches by revealing the few common threads connecting them. Some newer emergent integration efforts have also been highlighted and analyzed. Image Processing and Analysis: Variational, PDE, Wavelet, and Stochastic Methods is systematic and well organized. The authors first investigate the geometric, functional, and atomic structures of images and then rigorously develop and analyze several image processors. The book is comprehensive and integrative, covering the four most powerful classes of mathematical tools in contemporary image analysis and processing while exploring their intrinsic connections and integration. The material is balanced in theory and computation, following a solid theoretical analysis of model building and performance with computational implementation and numerical examples. Note de contenu : Sommaire 1 Introduction 2 Some Modern Image Analysis Tools 3 Image Modeling and Representation 4 Image Denoising 5 Image Deblurring 6 Image Inpainting 7 Image Segmentation -Index Image Processing and Analysis : variational, PDE, wavelet, and stochastic methods [texte imprimé] / Tony F. Chan, Auteur ; Jianhong (Jackie) Shen, Auteur . - Philadelphia : SIAM, 2005 . - 400 p. : couv. ill.,ill. ; 25,2 cm. ISBN : 978-0-89871-589-7 Langues : Anglais (eng) Catégories : AUTOMATISME Index. décimale : 25-05 Application du traitement numérique du signal Résumé : At no other time in human history have the influence and impact of image processing on modern society, science, and technology been so explosive. Image processing has become a critical component in contemporary science and technology and has many important applications. This book develops the mathematical foundation of modern image processing and low-level computer vision, and presents a general framework from the analysis of image structures and patterns to their processing. The core mathematical and computational ingredients of several important image processing tasks are investigated. The book bridges contemporary mathematics with state-of-the-art methodologies in modern image processing while organizing the vast contemporary literature into a coherent and logical structure. Image processing has traditionally been built on the machinery of Fourier and spectral analysis; however, in the past few decades numerous novel competing methods and tools have emerged. These diversified approaches, although seemingly distinct, are in fact intrinsically connected. The authors integrate this diversity of modern image processing approaches by revealing the few common threads connecting them. Some newer emergent integration efforts have also been highlighted and analyzed. Image Processing and Analysis: Variational, PDE, Wavelet, and Stochastic Methods is systematic and well organized. The authors first investigate the geometric, functional, and atomic structures of images and then rigorously develop and analyze several image processors. The book is comprehensive and integrative, covering the four most powerful classes of mathematical tools in contemporary image analysis and processing while exploring their intrinsic connections and integration. The material is balanced in theory and computation, following a solid theoretical analysis of model building and performance with computational implementation and numerical examples. Note de contenu : Sommaire 1 Introduction 2 Some Modern Image Analysis Tools 3 Image Modeling and Representation 4 Image Denoising 5 Image Deblurring 6 Image Inpainting 7 Image Segmentation -Index

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Numerical Computing with Simulink Vol 1 / Richard J. Gran

Public ISBD Titre : Numerical Computing with Simulink Vol 1 : creating simulations Type de document : texte imprimé Auteurs : Richard J. Gran, Auteur Editeur : Philadelphia : SIAM Année de publication : 2008 Importance : 306 p. Présentation : couv. ill. en coul., ill. Format : 25,2 cm. ISBN/ISSN/EAN : 978-0-89871-637-5 Langues : Anglais (eng) Catégories : AUTOMATISME Index. décimale : 25-06 Identification et simulation des processus Résumé : Simulation has become the preferred approach for engineers and scientists who design complex systems because it allows them to test whether a system design meets all necessary performance standards. This book provides an introduction to computer-aided system design with Simulink(R), a robust, accurate, and easily used simulation tool. The author takes readers on a tour of the Simulink environment that shows how to develop a system model and execute the design steps needed to make the model into a functioning design laboratory. Included along the way are the mathematics of systems: difference equations and z transforms, ordinary differential equations (both linear and nonlinear) and Laplace transforms, and numerical methods for solving differential equations. Because specific applications require specific tools, the author introduces additional software packages that work within the Simulink environment. The Signal Processing Blockset(R) extends Simulink into the areas of both analog and digital signal processing; Stateflow(R) is used for state charts and signal flow for modeling event-driven systems; SimPowerSystems(R) handles physical modeling, in particular the modeling of electrical circuits including power systems, motor drives, power generation equipments, and three-phase power transmission lines; and SimMechanics(R) develops models of mechanical systems such as robots. In total, the author covers over 70 applications taken from several disciplines, and he describes numerous tested, annotated, and reusable models and blocks to help readers apply the book's material to their own applications. A webpage offers links to supplementary material about Simulink and its associated tools from The MathWorks and the author. Note de contenu : Table of Contents Preface 1, Introduction to Simulink 2. Linear differential equations, matrix algebra and control systems 3. Nonlinear differential equations 4. Digital signal processing in Simulink 5. Random numbers, white noise and stochastic processes 6. Modeling a partial differential equation in Simulink 7. Stateflow – a tool for creating and coding state diagrams, complex logic, event driven actions and finite state machines 8. Physical modeling – SimPowerSystems and SimMechanics 9. Putting everything together: using Simulink in a system design process 10. Conclusion – thoughts about broad based knowledge Bibliography Index. Numerical Computing with Simulink Vol 1 : creating simulations [texte imprimé] / Richard J. Gran, Auteur . - Philadelphia : SIAM, 2008 . - 306 p. : couv. ill. en coul., ill. ; 25,2 cm. ISBN : 978-0-89871-637-5 Langues : Anglais (eng) Catégories : AUTOMATISME Index. décimale : 25-06 Identification et simulation des processus Résumé : Simulation has become the preferred approach for engineers and scientists who design complex systems because it allows them to test whether a system design meets all necessary performance standards. This book provides an introduction to computer-aided system design with Simulink(R), a robust, accurate, and easily used simulation tool. The author takes readers on a tour of the Simulink environment that shows how to develop a system model and execute the design steps needed to make the model into a functioning design laboratory. Included along the way are the mathematics of systems: difference equations and z transforms, ordinary differential equations (both linear and nonlinear) and Laplace transforms, and numerical methods for solving differential equations. Because specific applications require specific tools, the author introduces additional software packages that work within the Simulink environment. The Signal Processing Blockset(R) extends Simulink into the areas of both analog and digital signal processing; Stateflow(R) is used for state charts and signal flow for modeling event-driven systems; SimPowerSystems(R) handles physical modeling, in particular the modeling of electrical circuits including power systems, motor drives, power generation equipments, and three-phase power transmission lines; and SimMechanics(R) develops models of mechanical systems such as robots. In total, the author covers over 70 applications taken from several disciplines, and he describes numerous tested, annotated, and reusable models and blocks to help readers apply the book's material to their own applications. A webpage offers links to supplementary material about Simulink and its associated tools from The MathWorks and the author. Note de contenu : Table of Contents Preface 1, Introduction to Simulink 2. Linear differential equations, matrix algebra and control systems 3. Nonlinear differential equations 4. Digital signal processing in Simulink 5. Random numbers, white noise and stochastic processes 6. Modeling a partial differential equation in Simulink 7. Stateflow – a tool for creating and coding state diagrams, complex logic, event driven actions and finite state machines 8. Physical modeling – SimPowerSystems and SimMechanics 9. Putting everything together: using Simulink in a system design process 10. Conclusion – thoughts about broad based knowledge Bibliography Index.

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Applied Dynamic Programming for Optimization of Dynamical Systems / Rush D. Robinett

Public ISBD Titre : Applied Dynamic Programming for Optimization of Dynamical Systems Type de document : texte imprimé Auteurs : Rush D. Robinett, Auteur ; David G. Wilson, Auteur ; G. Richard Eisler, Auteur Editeur : Philadelphia : SIAM Année de publication : 2005 Collection : Advances in Design and Control Importance : 260 p. Présentation : couv. ill.,ill. Format : 25,9 cm. ISBN/ISSN/EAN : 978-0-89871-586-6 Langues : Anglais (eng) Catégories : AUTOMATISME Index. décimale : 25-07 Théorie de la commande: commandes des processus Résumé : Based on the results of over 10 years of research and development by the authors, this book presents a broad cross section of dynamic programming (DP) techniques applied to the optimization of dynamical systems. The main goal of the research effort was to develop a robust path planning/trajectory optimization tool that did not require an initial guess. The goal was partially met with a combination of DP and homotopy algorithms. DP algorithms are presented here with a theoretical development, and their successful application to variety of practical engineering problems is emphasized. Applied Dynamic Programming for Optimization of Dynamical Systems presents applications of DP algorithms that are easily adapted to the reader's own interests and problems. The book is organized in such a way that it is possible for readers to use DP algorithms before thoroughly comprehending the full theoretical development. A general architecture is introduced for DP algorithms emphasizing the solution to nonlinear problems. DP algorithm development is introduced gradually with illustrative examples that surround linear systems applications. Many examples and explicit design steps applied to case studies illustrate the ideas and principles behind DP algorithms. Physicists and mechanical, electrical, aerospace, and industrial engineers will find this book enormously useful. It will also appeal to research scientists and engineering students who have a background in dynamics and control and are able to develop and apply the DP algorithms to their particular problems. This book is suitable as a reference or supplemental textbook for graduate courses in optimization of dynamical and control systems. Note de contenu : Sommaire 1 Introduction 2 Constrained Optimization 3 Introduction to Dynamic Programming 4 Advanced Dynamic Programming 5 Applied Case Studies Appendix A: Mathematical Supplement Appendix B: Applied Case Studies - MATLAB Software Addendum Applied Dynamic Programming for Optimization of Dynamical Systems [texte imprimé] / Rush D. Robinett, Auteur ; David G. Wilson, Auteur ; G. Richard Eisler, Auteur . - Philadelphia : SIAM, 2005 . - 260 p. : couv. ill.,ill. ; 25,9 cm.. - (Advances in Design and Control) . ISBN : 978-0-89871-586-6 Langues : Anglais (eng) Catégories : AUTOMATISME Index. décimale : 25-07 Théorie de la commande: commandes des processus Résumé : Based on the results of over 10 years of research and development by the authors, this book presents a broad cross section of dynamic programming (DP) techniques applied to the optimization of dynamical systems. The main goal of the research effort was to develop a robust path planning/trajectory optimization tool that did not require an initial guess. The goal was partially met with a combination of DP and homotopy algorithms. DP algorithms are presented here with a theoretical development, and their successful application to variety of practical engineering problems is emphasized. Applied Dynamic Programming for Optimization of Dynamical Systems presents applications of DP algorithms that are easily adapted to the reader's own interests and problems. The book is organized in such a way that it is possible for readers to use DP algorithms before thoroughly comprehending the full theoretical development. A general architecture is introduced for DP algorithms emphasizing the solution to nonlinear problems. DP algorithm development is introduced gradually with illustrative examples that surround linear systems applications. Many examples and explicit design steps applied to case studies illustrate the ideas and principles behind DP algorithms. Physicists and mechanical, electrical, aerospace, and industrial engineers will find this book enormously useful. It will also appeal to research scientists and engineering students who have a background in dynamics and control and are able to develop and apply the DP algorithms to their particular problems. This book is suitable as a reference or supplemental textbook for graduate courses in optimization of dynamical and control systems. Note de contenu : Sommaire 1 Introduction 2 Constrained Optimization 3 Introduction to Dynamic Programming 4 Advanced Dynamic Programming 5 Applied Case Studies Appendix A: Mathematical Supplement Appendix B: Applied Case Studies - MATLAB Software Addendum

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