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Author : Society for Industrial and Applied Mathematics
Release : 1993
Genre : Mathematical statistics
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis SIAM journal on scientific computing by : Society for Industrial and Applied Mathematics
Download or read book SIAM journal on scientific computing written by Society for Industrial and Applied Mathematics. This book was released on 1993. Available in PDF, EPUB and Kindle. Book excerpt:
Author :
Release : 2009
Genre : Mathematical statistics
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis SIAM Journal on Scientific Computing by :
Download or read book SIAM Journal on Scientific Computing written by . This book was released on 2009. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Michael A. Heroux
Release : 2006-01-01
Genre : Computers
Kind : eBook
Book Rating : 133/5 ( reviews)
Book Synopsis Parallel Processing for Scientific Computing by : Michael A. Heroux
Download or read book Parallel Processing for Scientific Computing written by Michael A. Heroux. This book was released on 2006-01-01. Available in PDF, EPUB and Kindle. Book excerpt: Parallel processing has been an enabling technology in scientific computing for more than 20 years. This book is the first in-depth discussion of parallel computing in 10 years; it reflects the mix of topics that mathematicians, computer scientists, and computational scientists focus on to make parallel processing effective for scientific problems. Presently, the impact of parallel processing on scientific computing varies greatly across disciplines, but it plays a vital role in most problem domains and is absolutely essential in many of them. Parallel Processing for Scientific Computing is divided into four parts: The first concerns performance modeling, analysis, and optimization; the second focuses on parallel algorithms and software for an array of problems common to many modeling and simulation applications; the third emphasizes tools and environments that can ease and enhance the process of application development; and the fourth provides a sampling of applications that require parallel computing for scaling to solve larger and realistic models that can advance science and engineering.
Author : Dianne P. O'Leary
Release : 2009-03-19
Genre : Mathematics
Kind : eBook
Book Rating : 667/5 ( reviews)
Book Synopsis Scientific Computing with Case Studies by : Dianne P. O'Leary
Download or read book Scientific Computing with Case Studies written by Dianne P. O'Leary. This book was released on 2009-03-19. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Michael T. Heath
Release : 2018-11-14
Genre : Science
Kind : eBook
Book Rating : 573/5 ( reviews)
Book Synopsis Scientific Computing by : Michael T. Heath
Download or read book Scientific Computing written by Michael T. Heath. This book was released on 2018-11-14. Available in PDF, EPUB and Kindle. Book excerpt: This book differs from traditional numerical analysis texts in that it focuses on the motivation and ideas behind the algorithms presented rather than on detailed analyses of them. It presents a broad overview of methods and software for solving mathematical problems arising in computational modeling and data analysis, including proper problem formulation, selection of effective solution algorithms, and interpretation of results.? In the 20 years since its original publication, the modern, fundamental perspective of this book has aged well, and it continues to be used in the classroom. This Classics edition has been updated to include pointers to Python software and the Chebfun package, expansions on barycentric formulation for Lagrange polynomial interpretation and stochastic methods, and the availability of about 100 interactive educational modules that dynamically illustrate the concepts and algorithms in the book. Scientific Computing: An Introductory Survey, Second Edition is intended as both a textbook and a reference for computationally oriented disciplines that need to solve mathematical problems.
