Principles and procedures of numerical analysis
著者
書誌事項
Principles and procedures of numerical analysis
（Mathematical concepts and methods in science and engineering, v. 14）
Plenum Press, c1978
大学図書館所蔵 件 / 全26件
-
該当する所蔵館はありません
- すべての絞り込み条件を解除する
注記
Bibliography: p. 321-325
Includes index
内容説明・目次
内容説明
It is an incontestable fact that numerical analysis techniques are used rou tinely (although not always effectively) in virtually every quantitative field of scientific endeavor. In this book, which is directed toward upper-division and graduate level students in engineering and mathematics, we have selected for discussion subjects that are traditionally found in numerical analysis texts. But our choice of methodology rejects the traditional where analysis and experience clearly warrant such a departure, and one of our primary aspirations in this work is to equip the reader with the wherewithal to apply numerical analysis thinking to nontraditional subjects. For there is a plethora of computer-oriented sciences such as optimization, statistics, and system analysis and identification that are sorely in need of methods comparable to those related here for classical numerical analysis problems. Toward uncovering for the reader the structure of numerical methods we have, for example, devoted a chapter to a metric space theory for iter ative application of operators. In this chapter, we have collected those definitions and concepts of real and functional analysis that are requisite to a modern intermediate-level exposition of the principles of numerical anal ysis. Further, we derive the abstract theory (most notably, the contraction mapping theorem) for iteration processes.
目次
Preliminaries.- Approximation and Interpolation of Functions.- Numerical Differentiation and Integration.- General Theory for Iteration Methods.- Solution of Nonlinear Equations.- The Solution of Simultaneous Linear Equations.- The Solution of Matrix Eigenvalue Problems.- The Numerical Solution of Ordinary Differential Equations.- The Numerical Solution of Partial Differential Equations.
「Nielsen BookData」 より
