Scientific Computing with Case Studies is popular PDF and ePub book, written by Dianne P. O'Leary in 2009-01-01, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Scientific Computing with Case Studies can be Read Online from any device for your convenience.
Scientific Computing with Case Studies Book PDF Summary
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.
Detail Book of Scientific Computing with Case Studies PDF
- Author : Dianne P. O'Leary
- Release : 01 January 2009
- Publisher : SIAM
- ISBN : 9780898717723
- Genre : Mathematics
- Total Page : 377 pages
- Language : English
- PDF File Size : 13,8 Mb
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