Bücher zu MATLAB und Simulink

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.

Companion software available Begleitende Software anfragen.

MATLAB Courseware

Teaching materials based on MATLAB and Simulink

Find full courses & labs

Trials Available

Try the latest version of algorithm development products.

Get trial software

Über dieses Buch

Dianne P. O'Leary, University of Maryland

SIAM, 2009

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