An Introduction to Numerical Methods and Analysis 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


An Introduction to Numerical Methods and Analysis

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Epperson, James F. 作者
John Wiley & Sons Inc
译者
2007-9 出版日期
590 页数
1112.00 元 价格
HRD
丛书系列
9780470049631 图书编码

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发表于2024-10-04


An Introduction to Numerical Methods and Analysis 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

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An Introduction to Numerical Methods and Analysis 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024



An Introduction to Numerical Methods and Analysis 在线电子书 用户评价

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很好的入门级数值分析书,清晰易懂

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很好的入门级数值分析书,清晰易懂

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很好的入门级数值分析书,清晰易懂

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很好的入门级数值分析书,清晰易懂

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很好的入门级数值分析书,清晰易懂

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An Introduction to Numerical Methods and Analysis 在线电子书 图书描述

Praise for the First Edition ". . . outstandingly appealing with regard to its style, contents, considerations of requirements of practice, choice of examples, and exercises."

—Zentrablatt Math ". . . carefully structured with many detailed worked examples . . ."

—The Mathematical Gazette ". . . an up-to-date and user-friendly account . . ."

—Mathematika An Introduction to Numerical Methods and Analysis addresses the mathematics underlying approximation and scientific computing and successfully explains where approximation methods come from, why they sometimes work (or don't work), and when to use one of the many techniques that are available. Written in a style that emphasizes readability and usefulness for the numerical methods novice, the book begins with basic, elementary material and gradually builds up to more advanced topics. A selection of concepts required for the study of computational mathematics is introduced, and simple approximations using Taylor's Theorem are also treated in some depth. The text includes exercises that run the gamut from simple hand computations, to challenging derivations and minor proofs, to programming exercises. A greater emphasis on applied exercises as well as the cause and effect associated with numerical mathematics is featured throughout the book. An Introduction to Numerical Methods and Analysis is the ideal text for students in advanced undergraduate mathematics and engineering courses who are interested in gaining an understanding of numerical methods and numerical analysis.

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