Practical scientific computing

by Muhammad, Ali

Type Book

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Title Statements

Full title :Practical scientific computing / Ali Muhammad and Victor Zalizniak.

Summary

Scientific computing is about developing mathematical models, numerical methods and computer implementations to study and solve real problems in science, engineering, business and even social sciences. Mathematical modelling requires deep understanding of classical numerical methods. This essential guide provides the reader with sufficient foundations in these areas to venture into more advanced texts. The first section of the book presents numEclipse, an open source tool for numerical computing based on the notion of MATLABi. numEclipse is implemented as a plug-in for Eclipse, a leading integrated development environment for Java programming. The second section studies the classical methods of numerical analysis. Numerical algorithms and their implementations are presented using numEclipse. 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. An invaluable reference for undergraduate engineering, science and mathematics students taking numerical methods coursesGuides the reader through developing a deep understanding of classical numerical methodsFeatures a comprehensive analysis of numEclipse including numerical algorithms and their implementations.

Edition Statements

Publication Date:2011.

Publication Statements

Publisher(s):Woodhead Pub
Place of Publication:Oxford, UK
Language:eng
Publication Date:2011.

The Physical Object

Description:1 online resource (viii, 190 pages : : illustrations

Edition Identifiers

ISBN:9780857092267, 085709226X
oclc:ocn864682356
LC Classification:QA297
Dewey Decimal:004.0151

Part 1 Introduction: Expressions -- Statements -- Programming -- Architecture -- Plotting. Part 2 Solving non-linear equations: Solving systems of linear equations -- Computational eigenvalue problems -- Introduction to finite difference schemes for ordinary differential equations -- Interpolation and approximation.

Subjects

Computer science -- Mathematics COMPUTERS -- Computer Literacy COMPUTERS -- Computer Science COMPUTERS -- Data Processing COMPUTERS -- Hardware COMPUTERS -- Information Technology COMPUTERS -- Machine Theory COMPUTERS -- Reference Informatique -- Mathématiques Science -- Data processing Sciences -- Informatique