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Mathematics Applied to Deterministic Problems in the Natural Sciences
C. C. Lin
€ 106.22
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Description for Mathematics Applied to Deterministic Problems in the Natural Sciences
Paperback.
Addresses the construction, analysis, and intepretation of mathematical models that shed light on significant problems in the physical sciences. The authors' case studies approach leads to excitement in teaching realistic problems. The exercises reinforce, test and extend the reader's understanding. This reprint volume may be used as an upper level undergraduate or graduate textbook as well as a reference for researchers working on fluid mechanics, elasticity, perturbation methods, dimensional analysis, numerical analysis, continuum mechanics and differential equations.
Addresses the construction, analysis, and intepretation of mathematical models that shed light on significant problems in the physical sciences. The authors' case studies approach leads to excitement in teaching realistic problems. The exercises reinforce, test and extend the reader's understanding. This reprint volume may be used as an upper level undergraduate or graduate textbook as well as a reference for researchers working on fluid mechanics, elasticity, perturbation methods, dimensional analysis, numerical analysis, continuum mechanics and differential equations.
Product Details
Format
Paperback
Publication date
1988
Publisher
Society for Industrial & Applied Mathematics,U.S. United States
Number of pages
630
Condition
New
Number of Pages
630
Place of Publication
New York, United States
ISBN
9780898712292
SKU
V9780898712292
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-1
Reviews for Mathematics Applied to Deterministic Problems in the Natural Sciences
'The words 'applied mathematics' decorate the covers of many books these days, but precious little of the practice of applied mathematics seeps through into the pages bound between those covers. Of the select few that do indeed introduce the reader to applied mathematics, this book may well be the best. I know of none better.' Paul Davis, American Mathematical ... Read more