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Viac informácií o knihe Scientific Computing with Case Studies

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• Anotácia kniha
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Nákupom získate 288 bodov

Anotácia knihy

This book is a practical guide to the numerical solution of linear and nonlinear equations, differential equations, optimization problems, and eigenvalue problems. It treats standard problems and introduces important variants such as sparse systems, differential-algebraic equations, constrained optimization, Monte Carlo simulations, and parametric studies. Stability and error analysis are emphasized, and the Matlab algorithms are grounded in sound principles of software design and understanding of machine arithmetic and memory management. Nineteen case studies provide experience in mathematical modeling and algorithm design, motivated by problems in physics, engineering, epidemiology, chemistry, and biology. The topics included go well beyond the standard first-course syllabus, introducing important problems such as differential-algebraic equations and conic optimization problems, and important solution techniques such as continuation methods. The case studies cover a wide variety of fascinating applications, from modeling the spread of an epidemic to determining truss configurations.

Parametre knihy

Zaradenie knihy Knihy po anglicky Mathematics & science Mathematics Calculus & mathematical analysis

• Celý názov: Scientific Computing with Case Studies
• Autor: Dianne P. O`Leary
• Jazyk: Angličtina
• Väzba: Brožovaná
• Počet strán: 399
• EAN: 9780898716665
• ISBN: 0898716667
• ID: 02050224
• Nakladateľ: Society for Industrial & Applied Mathematics,U.S.
• Hmotnosť: 81 g
• Rozmery: 252 × 171 × 18 mm
• Dátum vydania: 30. December 2008

Obľúbené z iného súdka

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