5 edition of **Modern Methods in Scientific Computing and Applications (NATO Science Series II: Mathematics, Physics and Chemistry)** found in the catalog.

- 26 Want to read
- 8 Currently reading

Published
**September 30, 2002**
by Springer
.

Written in English

- Numerical analysis,
- General,
- Computer Books: General,
- Science,
- Computers,
- Research & Methodology,
- Applied,
- Computer Simulation,
- Mathematics / Number Systems,
- Data Processing - General

**Edition Notes**

Contributions | Gert Sabidussi (Adapter), Anne Bourlioux (Editor), Martin J. Gander (Editor) |

The Physical Object | |
---|---|

Format | Paperback |

Number of Pages | 516 |

ID Numbers | |

Open Library | OL8370201M |

ISBN 10 | 1402007825 |

ISBN 10 | 9781402007828 |

SIAM Journal on Scientific Computing , AA Abstract | PDF ( KB) () Two classes of Ljusternik–Schnirelman minimax algorithms and an application for finding multiple negative energy solutions of a class of p -Laplacian equations. Several very powerful numerical linear algebra techniques are available for solving problems in data mining and pattern recognition. This application-oriented book describes how modern matrix methods can be used to solve these problems, gives an introduction to matrix theory and decompositions, and provides students with a set of tools that can be modified for a particular application.

Series: Handbook of Numerical Analysis The Handbook of Numerical Analysis series addresses key aspects of numerical analysis, serving as the essential reference work on the subject. Each volume concentrates on specific topics of particular interest with articles written by experts in the field. Data Science and Predictive Analytics Biomedical and Health Applications using R. Authors The content of this graduate-level textbook fills a substantial gap in integrating modern engineering concepts, computational algorithms, mathematical optimization, statistical computing and biomedical inference. statistical computing and.

Essentials of Scientific Computing is as self-contained as possible and considers a variety of methods for each type of problem discussed. It covers the basic ideas of numerical techniques, including iterative process, extrapolation and matrix factorization, and practical implementation of the methods shown is explained through numerous examples. While supercomputing applications are used in a wide variety of scientific disciplines, they often share key computational algorithms with one another. As a result, many software libraries have been developed for high performance computing (HPC) so application developers can leverage and reuse existing performance-tuned software.

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One half of this book focuses on the techniques of scientific computing: domain decomposition, the absorption of boundary conditions and one-way operators, convergence analysis of multi-grid methods and other multi-grid techniques, dynamical systems, and matrix : Paperback.

When we first heard in the spring of that the Seminaire de matMmatiques superieures (SMS) was interested in devoting its session of the summer of l-its 40th-to scientific computing the idea of taking on the organizational work seemed to us somewhat remote.

Modern Methods in Scientific Computing and Applications Zhaojun Bai, Gene Golub (auth.), Anne Bourlioux, Martin J. Gander, Gert Sabidussi (eds.) When we first heard in the spring of that the Seminaire de matMmatiques superieures (SMS) was interested in devoting its session of the summer of l-its 40th-to scientific computing the idea of taking on the organizational work seemed to us.

Parallel computers are increasingly used in scientific computing. They enable one to perform large scale computations. New algorithms which are well suited to such architectures have to be designed.

Get this from a library. Modern Methods in Scientific Computing and Applications. [Anne Bourlioux; Martin J Gander; Gert Sabidussi] -- The influence of scientific computing has become very wide over the last few decades: almost every area of science and engineering is greatly influenced by simulations - image processing, thin films.

A specific aim of this book is to integrate standard scientific computing methods with data analysis. By doing so, it brings together, in a self-consistent fashion, the key ideas from: DT statistics, DT time-frequency analysis, and DT low-dimensional reductionsReviews: Scientific Computing: Computer Science Books @ Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib Robert Johansson.

is obvious that this book is very comprehensive and that most of what an engineer would ever need to know on Numerical Methods is discussed in some form.

Reviews: Recent Advances in Scientific Computing and Applications About this Title. Jichun Li, University of Nevada, Las Vegas, NV, Hongtao Yang, University of Nevada, Las Vegas, NV and Eric Machorro, National Security Technologies, LLC, Las Vegas, NV, Editors. Publication: Contemporary Mathematics Publication Year Volume ISBNs: (print); (online).

This easy-to-understand textbook presents a modern approach to learning numerical methods (or scientific computing), with a unique focus on the modeling and applications of the mathematical content. Emphasis is placed on the need for, and methods of, scientific computing for a range of different types of problems, supplying the evidence and.

A strength of the book is the inclusion of a number of applications to current scientific problems. The applications amply demonstrate the relevance of this approach to modern computing. There is a fairly thorough coverage of wide variety of Monte Carlo algorithms that have arisen in diverse fields such as physics, chemistry, biology, etc., and.

From the reviews: “Scientific computing is considered to comprise mathematical modeling, numerical analysis as well as issues of programming and implementation. Correspondingly, the book introduces all areas required and structures the material in 5 parts, altogether comprising 19 chapters.

.Cited by: 6. Modern Methods in Scientific Computing and Applications Proceedings of the NATO Advanced Study Institute and Seminaire De Math Eacute Matiques Superieures on Modern Methods in Scientific Computing and Applications, Montreal, Quebec, Canada, July Matrix algorithms are at the core of scientific computing and are indispensable tools in most applications in engineering.

This book offers a comprehensive and up-to-date treatment of modern methods in matrix computation. It uses a unified approach to direct and iterative methods for linear systems, least squares and eigenvalue : Springer International Publishing.

Proceedings of the NATO Advanced Study Institute and Seminaire de Mathematiques Superieures on Modern Methods in Scientific Computing and Applications, Montreal, Quebec, Canada, 9. This new book from the authors of the highly successful classic Numerical Methods (Prentice-Hall, ) addresses the increasingly important role of numerical methods in science and engineering.

It is more cohesive and comprehensive than any other modern textbook in the field. The book emphasizes the importance of solving differential equations on a computer, which comprises a large part of what has come to be called scientific computing.

It reviews modern scientific computing, outlines its applications, and places the subject in a larger context. This book is appropriate for upper undergraduate courses in.

Buy (ebook) Modern Methods in Scientific Computing and Applications by Martin Gander, Gert Sabidussi, Anne Bourlioux, eBook format, from the Dymocks online bookstore. This book presents the state of the art in parallel numerical algorithms, applications, architectures, and system software.

The book examines various solutions for issues of concurrency, scale, energy efficiency, and programmability, which are discussed in the context of a diverse range of applications.

Keywords: scientific computing, numerical analysis, numerical methods, computational mathematics, mathematical software - Hide Description This book differs from traditional numerical analysis texts in that it focuses on the motivation and ideas behind the algorithms presented rather than on detailed analyses of them.

The guiding principle is to explain modern numerical analysis concepts applicable in complex scientific computing at much simpler model problems. For example, the two adaptive techniques in numerical quadrature elaborated here carry the germs for either exploration methods or multigrid methods in differential equations, which are not treated here.

Matrix algorithms are at the core of scientific computing and are indispensable tools in most applications in engineering. This book offers a comprehensive and up-to-date treatment of modern methods in matrix computation.

It uses a unified approach to direct and iterative methods for linear systems, least squares and eigenvalue problems.Numerical methods in scientific computing / Germund Dahlquist, Åke Björck.

Includes bibliographical references and index. ISBN (v. 1: alk. paper) 1. Numerical analysis—Data processing. I. Björck, Åke, II. Title. QAD —dc22 is a registered trademark.Practical scientific computing is an invaluable reference for undergraduate engineering, science and mathematics students taking numerical methods courses.

It will also be a useful handbook for postgraduate researchers and professionals whose work involves scientific computing.