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. It presents a broad overview of methods and software for solving mathematical problems arising in computational modeling and data analysis, including proper problem formulation, selection of effective solution algorithms, and interpretation of results.In the 20 years since its original publication, the modern, fundamental perspective of this book has aged well, and it continues to be used in the classroom. This Classics edition has been updated to include pointers to Python software and the Chebfun package, expansions on barycentric formulation for Lagrange polynomial interpretation and stochastic methods, and the availability of about 100 interactive educational modules that dynamically illustrate the concepts and algorithms in the book.Scientific Computing: An Introductory Survey, Second Edition is intended as both a textbook and a reference for computationally oriented disciplines that need to solve mathematical problems.
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EAN: 9781611975574
UPC: 9781611975574
ISBN: 9781611975574
MPN: N/A
Item Height: 3.3 cm
Item Length: 24.5 cm
Item Weight: 1.19 kg
Item Width: 19.6 cm
Publisher: Society for Industrial & Applied Mathematics,U.S.
Publication Year: 2019
Subject: Computer Science, Mathematics
Number of Pages: 567 Pages
Language: English
Publication Name: Scientific Computing: an Introductory Survey
Type: Textbook
Author: Michael T. Heath
Format: Paperback