Mathematical Software: Proceedings of a Symposium Conducted by the Mathematics Research Center, the University of Wisconsin-Madison, March 28-30, 1977

Rice, John R. (Editor)

ISBN 10: 1483245284 / ISBN 13: 9781483245287

Published by Academic Press, 2015

About this Item

398 pages. 9.25x6.00x0.90 inches. In Stock.

Seller Inventory # zk1483245284

Bibliographic Details

• Title: Mathematical Software: Proceedings of a Symposium Conducted by the Mathematics Research Center, the University of Wisconsin-Madison, March 28-30, 1977
• Publisher: Academic Press
• Publication Date: 2015
• Language: English
• ISBN 10: 1483245284
• ISBN 13: 9781483245287
• Binding: Paperback
• Condition: Brand New
• Weight: 0.69 kilograms

About this title

Synopsis

Mathematical Software III contains the proceedings of the Symposium on Mathematical Software held in Madison, Wisconsin, on March 28-30, 1977, under the auspices of the Mathematics Research Center at the University of Wisconsin-Madison. The papers focus on software designed for mathematical applications such as LINPACK for the solution of linear systems and least squares problems and ELLPACK for elliptic partial differential equations.Comprised of 14 chapters, this volume begins with an overview of LINPACK, a software package designed to solve linear systems and least squares problems. The reader is then introduced to an extension to the exchange algorithm for solving overdetermined linear equations; infallible calculation of polynomial zeros to specified precision; and representation and approximation of surfaces. Subsequent chapters discuss the ways in which mathematical software and exploratory data analysis should interact to satisfy their respective needs; production of mathematical software; computational aspects of the finite element method; and multi-level adaptive techniques for partial differential equations. The book also describes a realistic model of floating-point computation before concluding with an evaluation of the Block Lanczos method for computing a few of the least or greatest eigenvalues of a sparse symmetric matrix. This monograph should be of considerable interest to students and specialists in the fields of mathematics and computer science.