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A Student's Guide to Numerical Methods
SPAR
kr 21
A Student's Guide to Numerical Methods
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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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.
Produktdetaljer
Sprog: Engelsk
Sider: 216
ISBN-13: 9781107479500
Indbinding: Paperback
Udgave:
ISBN-10: 1107479509
Udg. Dato: 30 apr 2015
Længde: 10mm
Bredde: 229mm
Højde: 152mm
Oplagsdato: 30 apr 2015
Forfatter(e) Ian H. (Massachusetts Institute of Technology) Hutchinson, Ian H. Hutchinson


Kategori Matematik for forskere


Sprog Engelsk


Indbinding Paperback


Sider 216


Udgave


Længde 10mm


Bredde 229mm


Højde 152mm

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