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scientific computing with case studies

Scientific Computing with Case Studies

Written for advanced undergraduate and early graduate courses in numerical analysis and scientific computing, this book provides a practical guide to the numerical solution of linear and nonlinear equations, differential equations, optimization problems, and eigenvalue problems. The book treats standard problems and introduces important variants such as sparse systems, differential-algebraic equations, constrained optimization, Monte Carlo simulations, and parametric studies.

In addition, a supplemental set of MATLAB code files is available for download. Optimization Toolbox is also discussed.

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Dianne P. O'Leary, University of Maryland

SIAM, 2009

ISBN: 978-0-898716-66-5
Language: English