Numerical Analysis for Applied Science, Second Edition

Name: Numerical Analysis for Applied Science, Second Edition
Brand: John Wiley and Sons Ltd
SKU: 9781119245469
Price: 121.44 EUR
Availability: InStock

Autor: Myron B. Allen, Eli L. Isaacson

Jazyk:

Väzba: Pevná

Vydavateľ: John Wiley and Sons Ltd

Dostupnosť: Skladom u dodávateľa v malom množstve

Odosielame za 11-15 dní

121.44 €

Pragmatic and Adaptable Textbook Meets the Needs of Students and Instructors from Diverse Fields Num...

Informácie o knihe

Autor

Myron B. Allen, Eli L. Isaacson

Jazyk

Angličtina

Väzba

Kniha - Pevná

Vydalo

2019

Stránok

592

EAN

9781119245469

ISBN

9781119245469

Enbook ID

20415520

Vydavateľ

John Wiley and Sons Ltd

Hmotnosť

1116

Rozmery

169 x 237 x 33

Kompletný popis

Pragmatic and Adaptable Textbook Meets the Needs of Students and Instructors from Diverse Fields Numerical analysis is a core subject in data science and an essential tool for applied mathematicians, engineers, and physical and biological scientists. This updated and expanded edition of Numerical Analysis for Applied Science follows the tradition of its precursor by providing a modern, flexible approach to the theory and practical applications of the field. As before, the authors emphasize the motivation, construction, and practical considerations before presenting rigorous theoretical analysis. This approach allows instructors to adapt the textbook to a spectrum of uses, ranging from one-semester, methods-oriented courses to multi-semester theoretical courses. The book includes an expanded first chapter reviewing useful tools from analysis and linear algebra. Subsequent chapters include clearly structured expositions covering the motivation, practical considerations, and theory for each class of methods. The book includes over 250 problems exploring practical and theoretical questions and 32 pseudocodes to help students implement the methods. Other notable features include: A preface providing advice for instructors on using the text for a single semester course or multiple-semester sequence of coursesDiscussion of topics covered infrequently by other texts at this level, such as multidimensional interpolation, quasi-Newton methods in several variables, multigrid methods, preconditioned conjugate-gradient methods, finite-difference methods for partial differential equations, and an introduction to finite-element theoryNew topics and expanded treatment of existing topics to address developments in the field since publication of the first editionMore than twice as many computational and theoretical exercises as the first edition. Numerical Analysis for Applied Science, Second Edition provides an excellent foundation for graduate and advanced undergraduate courses in numerical methods and numerical analysis. It is also an accessible introduction to the subject for students pursuing independent study in applied mathematics, engineering, and the physical and life sciences and a valuable reference for professionals in these areas.

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Numerical Analysis for Applied Science, Second Edition

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