Computational Science and Engineering

Strang, Gilbert (Massachusetts Institute of Technology)

ISBN 10: 0961408812 / ISBN 13: 9780961408817

Editore: Wellesley-Cambridge Press,U.S., 2007

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Inhaltsverzeichnis1. Applied Linear Algebra: 1.1 Four special matrices 1.2 Differences, derivatives, and boundary conditions 1.3 Elimination leads to K = LDL^T 1.4 Inverses and delta functions 1.5 Eigenvalues and eigenvectors 1.6 Po. Codice articolo 595153847

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Titolo: Computational Science and Engineering

Casa editrice: Wellesley-Cambridge Press,U.S.

Data di pubblicazione: 2007

Legatura: Rilegato

Condizione: New

Descrizione articolo

Riassunto:

Encompasses the full range of computational science and engineering from modelling to solution, both analytical and numerical. It develops a framework for the equations and numerical methods of applied mathematics. Gilbert Strang has taught this material to thousands of engineers and scientists (and many more on MIT's OpenCourseWare 18.085-6). His experience is seen in his clear explanations, wide range of examples, and teaching method. The book is solution-based and not formula-based: it integrates analysis and algorithms and MATLAB codes to explain each topic as effectively as possible. The topics include applied linear algebra and fast solvers, differential equations with finite differences and finite elements, Fourier analysis and optimization. This book also serves as a reference for the whole community of computational scientists and engineers. Supporting resources, including MATLAB codes, problem solutions and video lectures from Gilbert Strang's 18.085 courses at MIT, are provided at math.mit.edu/cse.

Recensione:

'Gil Strang has given the discipline of computational science and engineering its first testament in this new and comprehensive book. It surely extends Gil's long tradition of practical, wide-ranging, and insightful books that are invaluable for students, teachers, and researchers alike. If you could have only one book on a desert island, this might be it.' William Briggs, Professor of Mathematics at University of Colorado at Denver, and SIAM Vice-President for Education