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A Student's Guide to Numerical Methods (Student's Guides)
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This concise, plain-language guide for senior undergraduates and graduate students aims to develop intuition, practical skills and an understanding of the framework of numerical methods for the physical sciences and engineering. It provides accessible self-contained explanations of mathematical principles, avoiding intimidating formal proofs. Worked examples and targeted exercises enable the student to master the realities of using numerical techniques for common needs such as solution of ordinary and partial differential equations, fitting experimental data, and simulation using particle and Monte Carlo methods. Topics are carefully selected and structured to build understanding, and illustrate key principles such as: accuracy, stability, order of convergence, iterative refinement, and computational effort estimation. Enrichment sections and in-depth footnotes form a springboard to more advanced material and provide additional background. Whether used for self-study, or as the basis of an accelerated introductory class, this compact textbook provides a thorough grounding in computational physics and engineering.
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Product details
Series: Student's Guides
Paperback: 222 pages
Publisher: Cambridge University Press; Student edition (June 24, 2015)
Language: English
ISBN-10: 1107479509
ISBN-13: 978-1107479500
Product Dimensions:
6 x 0.5 x 9 inches
Shipping Weight: 13.9 ounces (View shipping rates and policies)
Average Customer Review:
4.0 out of 5 stars
1 customer review
Amazon Best Sellers Rank:
#1,035,714 in Books (See Top 100 in Books)
Excellent resource for the beginner. It has a very nice choice of topics, and it is well written.
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