This book demonstrates scientific computing by presenting twelve computational projects spanning a broad spectrum of disciplines including Fluid Mechanics, Chemistry, Elasticity, Thermal Science, Computer Aided Design, Signal and Image Processing and more. Each project guides the reader through typical steps of scientific computing, from physical and mathematical description of the problem, to numerical formulation and programming and finally to critical discussion of results. The text teaches practical computational methods which are not usually available in basic textbooks: numerical checking of accuracy or stability, choice of boundary conditions, effective solving of linear systems, comparison to exact solutions and more. Programming techniques such as vectorial programming and memory storage optimization are addressed, and chapter-ending references form a guide for further reading. The final section of each project contains the solutions to proposed exercises and guides the reader in using the MATLAB scripts available online.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Ionut Danaila is Professor of Applied Mathematics at the University of Rouen Normandy, Laboratoire de mathématiques Raphaël Salem, and former member of Laboratoire Jacques-Louis Lions, Sorbonne Université. He is co-author of two textbooks (in French) on scientific computing and one research monograph (on vortex ring models) for researchers and graduate students. His main research interests are in numerical analysis and modern scientific computing. He developed several numerical codes for applications in fluid mechanics, quantum physics and thermal sciences. Over the last decade, he headed two fundamental research projects on the mathematical modelling and high-performance simulation of quantum systems (Bose-Einstein condensates and superfluid helium).
Pascal Joly, now retired, was Research Scientist at Laboratoire Jacques-Louis Lions, Sorbonne Université and Centre national de la recherche scientifique (CNRS). His main research interests concern efficient algorithms in scientific computing (such as solving large sparse linear systems of equations), coding finite element methods for various industrial applications and exploring the wavelets theory in signal processing. He taught courses on numerical methods in various engineering schools and he is former deputy director of the Master of Sciences and Technology of the Université Pierre et Marie Curie for applied Mathematics.
Sidi-Mahmoud Kaber is Associate Professor of Applied Mathematics at Laboratoire Jacques-Louis Lions, Sorbonne Université. He is co-author of three textbooks in French and one in English on numerical analysis. His main research interests include approximation of singular functions and numerical schemes for parallel computing. He is very engaged in using programming and software in mathematics education.
Marie Postel is Associate Professor of Applied Mathematics at Laboratoire Jacques-Louis Lions, Sorbonne Université. She is co-author of two textbooks (in French) on numerical methods. Her research interests are currently mathematical modeling of biological systems, along with the numerical simulation and calibration of model using experimental data. She has designed several adaptive methods in scientific computing for PDEs using multiresolution analysis. She is currently the head of a master program in engineering mathematics, and teaches numerical methods for ODEs, PDEs and optimization at undergraduate and graduate level.
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Etat : Muy bueno. : Este libro presenta quince proyectos computacionales destinados a resolver numéricamente problemas de una amplia gama de aplicaciones, incluyendo mecánica de fluidos, química, elasticidad, ciencia térmica, diseño asistido por ordenador, procesamiento de señales e imágenes. Para cada proyecto, se guía al lector a través de los pasos típicos de la computación científica, desde la descripción física y matemática del problema hasta la formulación numérica y la programación, y finalmente a la discusión crítica de los resultados numéricos. Se hace considerable hincapié en las cuestiones prácticas de los métodos computacionales. La última sección de cada proyecto contiene las soluciones a todos los ejercicios propuestos y guía al lector en el uso de los scripts de MATLAB. El marco matemático proporciona una base básica en el análisis numérico de ecuaciones diferenciales parciales y las principales técnicas de discretización, como las diferencias finitas, los elementos finitos, los métodos espectrales y las ondículas.El libro está destinado principalmente como texto de nivel de posgrado en matemáticas aplicadas, pero también puede ser utilizado por estudiantes de ingeniería o ciencias físicas. También será una referencia útil para investigadores e ingenieros en ejercicio. La segunda edición se basa en su material anterior (revisado y actualizado) con tres capítulos totalmente nuevos destinados a reforzar la presentación de aspectos matemáticos sobre métodos numéricos: aproximación de Fourier, métodos de diferencias finitas de orden superior y herramientas básicas para la optimización numérica. Las nuevas aplicaciones y programas correspondientes se refieren a los métodos espectrales de Fourier para resolver ecuaciones diferenciales ordinarias, los métodos de diferencias finitas hasta el sexto orden para resolver problemas de valor límite y, por último, las estrategias de optimización para ajustar los parámetros de un modelo epidemiológico. EAN: 9783031350344 Tipo: Libros Categoría: Tecnología|Ciencias|Educación Título: An Introduction to Scientific Computing Autor: Ionut Danaila| Pascal Joly| Sidi Mahmoud Kaber| Marie Postel Editorial: Springer-Verlag GmbH Idioma: en Páginas: 391 Formato: tapa blanda. N° de réf. du vendeur Happ-2025-12-22-2dc83c2d
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Taschenbuch. Etat : Neu. Neuware -This book provides fifteen computational projects aimed at numerically solving problems from a broad range of applications including Fluid Mechanics, Chemistry, Elasticity, Thermal Science, Computer Aided Design, Signal and Image Processing. For each project the reader is guided through the typical steps of scientific computing from physical and mathematical description of the problem to numerical formulation and programming and finally to critical discussion of numerical results. Considerable emphasis is placed on practical issues of computational methods. The last section of each project contains the solutions to all proposed exercises and guides the reader in using the MATLAB scripts. The mathematical framework provides a basic foundation in numerical analysis of partial differential equations and main discretization techniques, such as finite differences, finite elements, spectral methods and wavelets.The book is primarily intended as a graduate-level textin applied mathematics, but it may also be used by students in engineering or physical sciences. It will also be a useful reference for researchers and practicing engineers.The second edition builds upon its earlier material (revised and updated) with three all-new chapters intended to reinforce the presentation of mathematical aspects on numerical methods: Fourier approximation, high-order finite difference methods, and basic tools for numerical optimization. Corresponding new applications and programs concern spectral Fourier methods to solve ordinary differential equations, finite difference methods up to sixth-order to solve boundary value problems and, finally, optimization strategies to fit parameters of an epidemiological model.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 392 pp. Englisch. N° de réf. du vendeur 9783031350344
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Taschenbuch. Etat : Neu. An Introduction to Scientific Computing | Fifteen Computational Projects Solved with MATLAB | Ionut Danaila (u. a.) | Taschenbuch | xviii | Englisch | 2024 | Springer | EAN 9783031350344 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. N° de réf. du vendeur 130451691
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Etat : Hervorragend. Zustand: Hervorragend | Seiten: 392 | Sprache: Englisch | Produktart: Bücher | This book provides fifteen computational projects aimed at numerically solving problems from a broad range of applications including Fluid Mechanics, Chemistry, Elasticity, Thermal Science, Computer Aided Design, Signal and Image Processing. For each project the reader is guided through the typical steps of scientific computing from physical and mathematical description of the problem to numerical formulation and programming and finally to critical discussion of numerical results. Considerable emphasis is placed on practical issues of computational methods. The last section of each project contains the solutions to all proposed exercises and guides the reader in using the MATLAB scripts. The mathematical framework provides a basic foundation in numerical analysis of partial differential equations and main discretization techniques, such as finite differences, finite elements, spectral methods and wavelets. The book is primarily intended as a graduate-level textin applied mathematics, but it may also be used by students in engineering or physical sciences. It will also be a useful reference for researchers and practicing engineers. The second edition builds upon its earlier material (revised and updated) with three all-new chapters intended to reinforce the presentation of mathematical aspects on numerical methods: Fourier approximation, high-order finite difference methods, and basic tools for numerical optimization. Corresponding new applications and programs concern spectral Fourier methods to solve ordinary differential equations, finite difference methods up to sixth-order to solve boundary value problems and, finally, optimization strategies to fit parameters of an epidemiological model. N° de réf. du vendeur 43044640/1
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