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Scientific Computing with Case Studies by Dianne P. O'Leary is a mathematics available to read on EtoBox.

What is Scientific Computing with Case Studies about?

Learning through doing is the foundation of this book, which allows readers to explore case studies as well as expository material. The book provides 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 is emphasized, and the MATLAB® algorithms are grounded in sound principles of software design and in the understanding of machine arithmetic and memory management. Nineteen case studies allow readers to become familiar with mathematical modeling and algorithm design, motivated by problems in physics, engineering, epidemiology, chemistry, and biology. A website provides solutions to the challenges that are offered throughout the book and also supplies relevant MATLAB codes, derivations, and supplementary notes and slides. Audience: This book is intended as a primary text for courses in numerical analysis, scientific computing, and computational science fo

Who reads Scientific Computing with Case Studies?

Author

Dianne P. O'Leary

Publisher

Society for Industrial and Applied Mathematics

Published

2009

Language

EN

ISBN

9780898716665

Category

mathematics

Subjects

Mathematics, Stem

Rating

3.7 / 5 (3 ratings)

Updated

2026-03-14