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Título : Computational Probability : Algorithms and Applications in the Mathematical Sciences Tipo de documento: documento electrónico Autores: John H. Drew ; SpringerLink (Online service) ; Diane L. Evans ; Andrew G. Glen ; Lawrence M. Leemis Editorial: Boston, MA : Springer US Fecha de publicación: 2008 Colección: In Operations Research & Management Science, ISSN 0884-8289 num. 117 Número de páginas: X, 222 p Il.: online resource ISBN/ISSN/DL: 978-0-387-74676-0 Idioma : Inglés (eng) Palabras clave: Mathematics Operations research Decision making Applied mathematics Engineering Computer Probabilities Statistics Applications of Operation Research/Decision Theory Probability and Stochastic Processes Appl.Mathematics/Computational Methods Computational Numerical Analysis for Engineering, Physics, Science, Chemistry Earth Sciences Clasificación: 51 Matemáticas Resumen: Computational probability encompasses data structures and algorithms that have emerged over the past decade that allow researchers and students to focus on a new class of stochastic problems. COMPUTATIONAL PROBABILITY is the first book that examines and presents these computational methods in a systematic manner. The techniques described here address problems that require exact probability calculations, many of which have been considered intractable in the past. The first chapter introduces computational probability analysis, followed by a chapter on the Maple computer algebra system. The third chapter begins the description of APPL, the probability modeling language created by the authors. The book ends with three applications-based chapters that emphasize applications in survival analysis and stochastic simulation. The algorithmic material associated with continuous random variables is presented separately from the material for discrete random variables. Four sample algorithms, which are implemented in APPL, are presented in detail: transformations of continuous random variables, products of independent continuous random variables, sums of independent discrete random variables, and order statistics drawn from discrete populations. The APPL computational modeling language gives the field of probability a strong software resource to use for non-trivial problems and is available at no cost from the authors. APPL is currently being used in applications as wide-ranging as electric power revenue forecasting, analyzing cortical spike trains, and studying the supersonic expansion of hydrogen molecules. Requests for the software have come from fields as diverse as market research, pathology, neurophysiology, statistics, engineering, psychology, physics, medicine, and chemistry Nota de contenido: Computational Probability -- Maple for APPL -- Algorithms for Continuous Random Variables -- Data Structures and Simple Algorithms -- Transformations of Random Variables -- Products of Random Variables -- Algorithms for Discrete Random Variables -- Data Structures and Simple Algorithms -- Sums of Independent Random Variables -- Order Statistics -- Applications -- Reliability and Survival Analysis -- Stochastic Simulation -- Other Applications En línea: http://dx.doi.org/10.1007/978-0-387-74676-0 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34196 Computational Probability : Algorithms and Applications in the Mathematical Sciences [documento electrónico] / John H. Drew ; SpringerLink (Online service) ; Diane L. Evans ; Andrew G. Glen ; Lawrence M. Leemis . - Boston, MA : Springer US, 2008 . - X, 222 p : online resource. - (In Operations Research & Management Science, ISSN 0884-8289; 117) .
ISBN : 978-0-387-74676-0
Idioma : Inglés (eng)
Palabras clave: Mathematics Operations research Decision making Applied mathematics Engineering Computer Probabilities Statistics Applications of Operation Research/Decision Theory Probability and Stochastic Processes Appl.Mathematics/Computational Methods Computational Numerical Analysis for Engineering, Physics, Science, Chemistry Earth Sciences Clasificación: 51 Matemáticas Resumen: Computational probability encompasses data structures and algorithms that have emerged over the past decade that allow researchers and students to focus on a new class of stochastic problems. COMPUTATIONAL PROBABILITY is the first book that examines and presents these computational methods in a systematic manner. The techniques described here address problems that require exact probability calculations, many of which have been considered intractable in the past. The first chapter introduces computational probability analysis, followed by a chapter on the Maple computer algebra system. The third chapter begins the description of APPL, the probability modeling language created by the authors. The book ends with three applications-based chapters that emphasize applications in survival analysis and stochastic simulation. The algorithmic material associated with continuous random variables is presented separately from the material for discrete random variables. Four sample algorithms, which are implemented in APPL, are presented in detail: transformations of continuous random variables, products of independent continuous random variables, sums of independent discrete random variables, and order statistics drawn from discrete populations. The APPL computational modeling language gives the field of probability a strong software resource to use for non-trivial problems and is available at no cost from the authors. APPL is currently being used in applications as wide-ranging as electric power revenue forecasting, analyzing cortical spike trains, and studying the supersonic expansion of hydrogen molecules. Requests for the software have come from fields as diverse as market research, pathology, neurophysiology, statistics, engineering, psychology, physics, medicine, and chemistry Nota de contenido: Computational Probability -- Maple for APPL -- Algorithms for Continuous Random Variables -- Data Structures and Simple Algorithms -- Transformations of Random Variables -- Products of Random Variables -- Algorithms for Discrete Random Variables -- Data Structures and Simple Algorithms -- Sums of Independent Random Variables -- Order Statistics -- Applications -- Reliability and Survival Analysis -- Stochastic Simulation -- Other Applications En línea: http://dx.doi.org/10.1007/978-0-387-74676-0 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34196 Ejemplares
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Título : Computational Commutative Algebra 2 Tipo de documento: documento electrónico Autores: Martin Kreuzer ; SpringerLink (Online service) ; Lorenzo Robbiano Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2005 Número de páginas: X, 586 p Il.: online resource ISBN/ISSN/DL: 978-3-540-28296-9 Idioma : Inglés (eng) Palabras clave: Mathematics Computer science Algebra Algebraic geometry mathematics Algorithms Computational and Numerical Analysis Symbolic Manipulation Geometry Clasificación: 51 Matemáticas Resumen: Computational Commutative Algebra 2 is the natural continuation of Computational Commutative Algebra 1 with some twists, starting with the differently coloured cover graphics. The first volume had 3 chapters, 20 sections, 44 tutorials, and some amusing quotes. Since bigger is better, this book contains 3 chapters filling almost twice as many pages, 23 sections (some as big as a whole chapter), and 55 tutorials (some as big as a whole section). The number of jokes and quotes has increased exponentially due to the little-known fact that a good mathematical joke is better than a dozen mediocre papers. The main part of this book is a breathtaking passeggiata through the computational domains of graded rings and modules and their Hilbert functions. Besides Gröbner bases, we encounter Hilbert bases, border bases, SAGBI bases, and even SuperG bases. The tutorials traverse areas ranging from algebraic geometry and combinatorics to photogrammetry, magic squares, coding theory, statistics, and automatic theorem proving. Whereas in the first volume gardening and chess playing were not treated, in this volume they are. This is a book for learning, teaching, reading, and most of all, enjoying the topic at hand. The theories it describes can be applied to anything from children's toys to oil production. If you buy it, probably one spot on your desk will be lost forever! Nota de contenido: Foreword -- Introduction -- The Homogeneous Case -- Hilbert Functions -- Further Applications -- A. The ABC of CoCoA 5 -- B. Suggestions for Further Reading -- C. Hints for Selected Exercises -- Bibliography En línea: http://dx.doi.org/10.1007/3-540-28296-3 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35296 Computational Commutative Algebra 2 [documento electrónico] / Martin Kreuzer ; SpringerLink (Online service) ; Lorenzo Robbiano . - Berlin, Heidelberg : Springer Berlin Heidelberg, 2005 . - X, 586 p : online resource.
ISBN : 978-3-540-28296-9
Idioma : Inglés (eng)
Palabras clave: Mathematics Computer science Algebra Algebraic geometry mathematics Algorithms Computational and Numerical Analysis Symbolic Manipulation Geometry Clasificación: 51 Matemáticas Resumen: Computational Commutative Algebra 2 is the natural continuation of Computational Commutative Algebra 1 with some twists, starting with the differently coloured cover graphics. The first volume had 3 chapters, 20 sections, 44 tutorials, and some amusing quotes. Since bigger is better, this book contains 3 chapters filling almost twice as many pages, 23 sections (some as big as a whole chapter), and 55 tutorials (some as big as a whole section). The number of jokes and quotes has increased exponentially due to the little-known fact that a good mathematical joke is better than a dozen mediocre papers. The main part of this book is a breathtaking passeggiata through the computational domains of graded rings and modules and their Hilbert functions. Besides Gröbner bases, we encounter Hilbert bases, border bases, SAGBI bases, and even SuperG bases. The tutorials traverse areas ranging from algebraic geometry and combinatorics to photogrammetry, magic squares, coding theory, statistics, and automatic theorem proving. Whereas in the first volume gardening and chess playing were not treated, in this volume they are. This is a book for learning, teaching, reading, and most of all, enjoying the topic at hand. The theories it describes can be applied to anything from children's toys to oil production. If you buy it, probably one spot on your desk will be lost forever! Nota de contenido: Foreword -- Introduction -- The Homogeneous Case -- Hilbert Functions -- Further Applications -- A. The ABC of CoCoA 5 -- B. Suggestions for Further Reading -- C. Hints for Selected Exercises -- Bibliography En línea: http://dx.doi.org/10.1007/3-540-28296-3 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35296 Ejemplares
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Título : Computational Electromagnetics Tipo de documento: documento electrónico Autores: Thomas Rylander ; SpringerLink (Online service) ; Par Ingelström ; Anders Bondeson Editorial: New York, NY : Springer New York Fecha de publicación: 2013 Otro editor: Imprint: Springer Colección: Texts in Applied Mathematics, ISSN 0939-2475 Número de páginas: XX, 288 p Il.: online resource ISBN/ISSN/DL: 978-1-4614-5351-2 Idioma : Inglés (eng) Palabras clave: Mathematics Applied mathematics Engineering Computer Numerical analysis Electrical engineering Computational Science and Analysis Applications of Clasificación: 51 Matemáticas Resumen: Computational Electromagnetics is a young and growing discipline, expanding as a result of the steadily increasing demand for software for the design and analysis of electrical devices. This book introduces three of the most popular numerical methods for simulating electromagnetic fields: the finite difference method, the finite element method and the method of moments. In particular it focuses on how these methods are used to obtain valid approximations to the solutions of Maxwell's equations, using, for example, "staggered grids" and "edge elements." The main goal of the book is to make the reader aware of different sources of errors in numerical computations, and also to provide the tools for assessing the accuracy of numerical methods and their solutions. To reach this goal, convergence analysis, extrapolation, von Neumann stability analysis, and dispersion analysis are introduced and used frequently throughout the book. Another major goal of the book is to provide students with enough practical understanding of the methods so they are able to write simple programs on their own. To achieve this, the book contains several MATLAB programs and detailed description of practical issues such as assembly of finite element matrices and handling of unstructured meshes. Finally, the book summarizes the strengths and weaknessesof the different methods to help the student decide which method may be best for each problem. In this second edition the book was updated throughout and extensive computer projects are included. Reviews of previous edition: "This well-written monograph is devoted to students at the undergraduate level, but is also useful for practising engineers." (Zentralblatt MATH, 2007) Nota de contenido: Introduction -- Convergence -- Finite Differences -- Eigenvalues -- The Finite-Difference Time-Domain Method -- The Finite Element Method -- The Method of Moments -- Summary and Overview.- Large Linear Systems -- Krylov Methods En línea: http://dx.doi.org/10.1007/978-1-4614-5351-2 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32251 Computational Electromagnetics [documento electrónico] / Thomas Rylander ; SpringerLink (Online service) ; Par Ingelström ; Anders Bondeson . - New York, NY : Springer New York : Imprint: Springer, 2013 . - XX, 288 p : online resource. - (Texts in Applied Mathematics, ISSN 0939-2475) .
ISBN : 978-1-4614-5351-2
Idioma : Inglés (eng)
Palabras clave: Mathematics Applied mathematics Engineering Computer Numerical analysis Electrical engineering Computational Science and Analysis Applications of Clasificación: 51 Matemáticas Resumen: Computational Electromagnetics is a young and growing discipline, expanding as a result of the steadily increasing demand for software for the design and analysis of electrical devices. This book introduces three of the most popular numerical methods for simulating electromagnetic fields: the finite difference method, the finite element method and the method of moments. In particular it focuses on how these methods are used to obtain valid approximations to the solutions of Maxwell's equations, using, for example, "staggered grids" and "edge elements." The main goal of the book is to make the reader aware of different sources of errors in numerical computations, and also to provide the tools for assessing the accuracy of numerical methods and their solutions. To reach this goal, convergence analysis, extrapolation, von Neumann stability analysis, and dispersion analysis are introduced and used frequently throughout the book. Another major goal of the book is to provide students with enough practical understanding of the methods so they are able to write simple programs on their own. To achieve this, the book contains several MATLAB programs and detailed description of practical issues such as assembly of finite element matrices and handling of unstructured meshes. Finally, the book summarizes the strengths and weaknessesof the different methods to help the student decide which method may be best for each problem. In this second edition the book was updated throughout and extensive computer projects are included. Reviews of previous edition: "This well-written monograph is devoted to students at the undergraduate level, but is also useful for practising engineers." (Zentralblatt MATH, 2007) Nota de contenido: Introduction -- Convergence -- Finite Differences -- Eigenvalues -- The Finite-Difference Time-Domain Method -- The Finite Element Method -- The Method of Moments -- Summary and Overview.- Large Linear Systems -- Krylov Methods En línea: http://dx.doi.org/10.1007/978-1-4614-5351-2 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32251 Ejemplares
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Título : Computational Electromagnetics Tipo de documento: documento electrónico Autores: Anders Bondeson ; SpringerLink (Online service) ; Thomas Rylander ; Par Ingelström Editorial: New York, NY : Springer New York Fecha de publicación: 2005 Colección: Texts in Applied Mathematics, ISSN 0939-2475 num. 51 Número de páginas: XXII, 224 p. 74 illus Il.: online resource ISBN/ISSN/DL: 978-0-387-26160-7 Idioma : Inglés (eng) Palabras clave: Mathematics Computer science Applied mathematics Engineering Optics Electrodynamics Electrical engineering Applications of and Computational Science Computing Clasificación: 51 Matemáticas Resumen: Computational Electromagnetics is a young and growing discipline, expanding as a result of the steadily increasing demand for software for the design and analysis of electrical devices. This book introduces three of the most popular numerical methods for simulating electromagnetic fields: the finite difference method, the finite element method and the method of moments. In particular it focuses on how these methods are used to obtain valid approximations to the solutions of Maxwell's equations, using, for example, "staggered grids" and "edge elements." The main goal of the book is to make the reader aware of different sources of errors in numerical computations, and also to provide the tools for assessing the accuracy of numerical methods and their solutions. To reach this goal, convergence analysis, extrapolation, von Neumann stability analysis, and dispersion analysis are introduced and used frequently throughout the book. Another major goal of the book is to provide students with enough practical understanding of the methods so they are able to write simple programs on their own. To achieve this, the book contains several MATLAB programs and detailed description of practical issues such as assembly of finite element matrices and handling of unstructured meshes. Finally, the book aims at making the students well-aware of the strengths and weaknesses of the different methods, so they can decide which method is best for each problem. The intended audience of this text consists of undergraduate and beginning graduate students with basic knowledge of electromagnetic field theory, numerical analysis, and MATLAB-programming Nota de contenido: Convergence -- Finite Differences -- Eigenvalues -- The Finite-Difference Time-Domain Method -- The Finite Element Method -- The Method of Moments -- Summary and Overview En línea: http://dx.doi.org/10.1007/b136922 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35094 Computational Electromagnetics [documento electrónico] / Anders Bondeson ; SpringerLink (Online service) ; Thomas Rylander ; Par Ingelström . - New York, NY : Springer New York, 2005 . - XXII, 224 p. 74 illus : online resource. - (Texts in Applied Mathematics, ISSN 0939-2475; 51) .
ISBN : 978-0-387-26160-7
Idioma : Inglés (eng)
Palabras clave: Mathematics Computer science Applied mathematics Engineering Optics Electrodynamics Electrical engineering Applications of and Computational Science Computing Clasificación: 51 Matemáticas Resumen: Computational Electromagnetics is a young and growing discipline, expanding as a result of the steadily increasing demand for software for the design and analysis of electrical devices. This book introduces three of the most popular numerical methods for simulating electromagnetic fields: the finite difference method, the finite element method and the method of moments. In particular it focuses on how these methods are used to obtain valid approximations to the solutions of Maxwell's equations, using, for example, "staggered grids" and "edge elements." The main goal of the book is to make the reader aware of different sources of errors in numerical computations, and also to provide the tools for assessing the accuracy of numerical methods and their solutions. To reach this goal, convergence analysis, extrapolation, von Neumann stability analysis, and dispersion analysis are introduced and used frequently throughout the book. Another major goal of the book is to provide students with enough practical understanding of the methods so they are able to write simple programs on their own. To achieve this, the book contains several MATLAB programs and detailed description of practical issues such as assembly of finite element matrices and handling of unstructured meshes. Finally, the book aims at making the students well-aware of the strengths and weaknesses of the different methods, so they can decide which method is best for each problem. The intended audience of this text consists of undergraduate and beginning graduate students with basic knowledge of electromagnetic field theory, numerical analysis, and MATLAB-programming Nota de contenido: Convergence -- Finite Differences -- Eigenvalues -- The Finite-Difference Time-Domain Method -- The Finite Element Method -- The Method of Moments -- Summary and Overview En línea: http://dx.doi.org/10.1007/b136922 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35094 Ejemplares
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Título : Computational Mechanics : Proceedings of “International Symposium on Computational Mechanics” July 30–August 1, 2007, Beijing, China Tipo de documento: documento electrónico Autores: Z. H. Yao ; SpringerLink (Online service) ; M. W Yuan Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2009 Número de páginas: XVI, 432 p Il.: online resource ISBN/ISSN/DL: 978-3-540-75999-7 Idioma : Inglés (eng) Palabras clave: Mathematics Computer mathematics Mechanics Applied Engineering Computational and Numerical Analysis Appl.Mathematics/Computational Methods of Clasificación: 51 Matemáticas Resumen: Computational Mechanics is the Proceedings of the 2007 International Symposium on Computational Mechanics (ISCM) held July 30-August 1, 2007 in Beijing. The book includes 22 full papers of plenary and semi-plenary lectures, and approximately 150 one-page summaries. This conference is the first of a series that is created by a group of prominent scholars from the Mainland of China, Hong Kong, Taiwan, and overseas Chinese, who are very active in the field. This conference series will be held alternately in the Mainland of China, Hong Kong, Macao, Taiwan, and overseas countries En línea: http://dx.doi.org/10.1007/978-3-540-75999-7 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34023 Computational Mechanics : Proceedings of “International Symposium on Computational Mechanics” July 30–August 1, 2007, Beijing, China [documento electrónico] / Z. H. Yao ; SpringerLink (Online service) ; M. W Yuan . - Berlin, Heidelberg : Springer Berlin Heidelberg, 2009 . - XVI, 432 p : online resource.
ISBN : 978-3-540-75999-7
Idioma : Inglés (eng)
Palabras clave: Mathematics Computer mathematics Mechanics Applied Engineering Computational and Numerical Analysis Appl.Mathematics/Computational Methods of Clasificación: 51 Matemáticas Resumen: Computational Mechanics is the Proceedings of the 2007 International Symposium on Computational Mechanics (ISCM) held July 30-August 1, 2007 in Beijing. The book includes 22 full papers of plenary and semi-plenary lectures, and approximately 150 one-page summaries. This conference is the first of a series that is created by a group of prominent scholars from the Mainland of China, Hong Kong, Taiwan, and overseas Chinese, who are very active in the field. This conference series will be held alternately in the Mainland of China, Hong Kong, Macao, Taiwan, and overseas countries En línea: http://dx.doi.org/10.1007/978-3-540-75999-7 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34023 Ejemplares
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