A Survey of Numerical Mathematics
Author : David M. Young, Robert Todd Gregory
Publisher :
Page : 676 pages
File Size : 27,26 MB
Release : 1973
Category :
ISBN :
Author : David M. Young, Robert Todd Gregory
Publisher :
Page : 676 pages
File Size : 27,26 MB
Release : 1973
Category :
ISBN :
Author : Azmy S. Ackleh
Publisher : CRC Press
Page : 628 pages
File Size : 46,83 MB
Release : 2009-07-20
Category : Mathematics
ISBN : 1420091581
Classical and Modern Numerical Analysis: Theory, Methods and Practice provides a sound foundation in numerical analysis for more specialized topics, such as finite element theory, advanced numerical linear algebra, and optimization. It prepares graduate students for taking doctoral examinations in numerical analysis.The text covers the main areas o
Author : John Todd
Publisher :
Page : 616 pages
File Size : 31,57 MB
Release : 1962
Category : Numerical analysis
ISBN :
Author : M. A. Goldberg
Publisher : Springer Science & Business Media
Page : 351 pages
File Size : 41,42 MB
Release : 2013-11-21
Category : Science
ISBN : 1475714661
Author : David Gottlieb
Publisher : SIAM
Page : 167 pages
File Size : 31,19 MB
Release : 1977-01-01
Category : Technology & Engineering
ISBN : 0898710235
A unified discussion of the formulation and analysis of special methods of mixed initial boundary-value problems. The focus is on the development of a new mathematical theory that explains why and how well spectral methods work. Included are interesting extensions of the classical numerical analysis.
Author : Justin Solomon
Publisher : CRC Press
Page : 400 pages
File Size : 29,58 MB
Release : 2015-06-24
Category : Computers
ISBN : 1482251892
Numerical Algorithms: Methods for Computer Vision, Machine Learning, and Graphics presents a new approach to numerical analysis for modern computer scientists. Using examples from a broad base of computational tasks, including data processing, computational photography, and animation, the textbook introduces numerical modeling and algorithmic desig
Author : Michael T. Heath
Publisher : SIAM
Page : 567 pages
File Size : 27,59 MB
Release : 2018-11-14
Category : Science
ISBN : 1611975573
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.
Author : J. C. Butcher
Publisher : John Wiley & Sons
Page : 442 pages
File Size : 33,90 MB
Release : 2004-08-20
Category : Mathematics
ISBN : 0470868260
This new book updates the exceptionally popular Numerical Analysis of Ordinary Differential Equations. "This book is...an indispensible reference for any researcher."-American Mathematical Society on the First Edition. Features: * New exercises included in each chapter. * Author is widely regarded as the world expert on Runge-Kutta methods * Didactic aspects of the book have been enhanced by interspersing the text with exercises. * Updated Bibliography.
Author : Ake Bjorck
Publisher : SIAM
Page : 425 pages
File Size : 45,66 MB
Release : 1996-01-01
Category : Mathematics
ISBN : 9781611971484
The method of least squares was discovered by Gauss in 1795. It has since become the principal tool to reduce the influence of errors when fitting models to given observations. Today, applications of least squares arise in a great number of scientific areas, such as statistics, geodetics, signal processing, and control. In the last 20 years there has been a great increase in the capacity for automatic data capturing and computing. Least squares problems of large size are now routinely solved. Tremendous progress has been made in numerical methods for least squares problems, in particular for generalized and modified least squares problems and direct and iterative methods for sparse problems. Until now there has not been a monograph that covers the full spectrum of relevant problems and methods in least squares. This volume gives an in-depth treatment of topics such as methods for sparse least squares problems, iterative methods, modified least squares, weighted problems, and constrained and regularized problems. The more than 800 references provide a comprehensive survey of the available literature on the subject.
Author : David M. Young
Publisher : Courier Corporation
Page : 562 pages
File Size : 29,35 MB
Release : 1988-01-01
Category : Mathematics
ISBN : 0486656918
Volume I of two-volume set offers broad self-contained coverage of computer-oriented numerical algorithms for solving mathematical problems related to linear algebra, ordinary and partial differential equations, and much more. 1972 edition.