The State of the Art in Numerical Analysis
Book Details
Format
Hardback or Cased Book
ISBN-10
0198500149
ISBN-13
9780198500148
Publisher
Oxford University Press
Imprint
Oxford University Press
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Jul 17th, 1997
Print length
576 Pages
Weight
940 grams
Dimensions
24.20 x 16.60 x 3.50 cms
Product Classification:
Numerical analysis
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A selection of papers presented at the Conference on the State of The Art in Numerical Analysis in York in April 1996. The collection provides a wide ranging review of recent developments in the field. This title is number 63 in the INSTITUTE OF MATHEMATICS AND ITS APPLICATIONS CONFERENCE SERIES.
The 1996 conference on the State of the Art in Numerical Analysis was organized to provide the numerical analysis community, and users of numerical methods, with a forum where an account of the important recent developments in the subject could be presented in a coherent and concentrated way in a manner accessible to the non-specialist in the sub-area. This volume extends to a much wider audience the opportunity given to those who attended the meeting. It contains full versions of all the papers presented, with one exception on Neural Nets. In addition to recent developments in mainstream topics, linear algebra, ordinary differential equations, approximation and optimization, it contains papers devoted to two important application areas, numerical tomography and image processing.Compare with the corresponding 1986 volume, some topics show a continuous and natural development, while others show significant departure from conventional trends. A recurring theme is the solution of large problems and exploitation of structure. Underlying many of the developments is the fact that increasingly complicated and sophisticated problems are now amenable to an increasingly powerful range of numerical techniques. This is greatly helped by the advent of excellent computer languages, like MATLAB, and state of the art Fortran software such as LAPACK, so that the fundamental building blocks for much of the armoury of a numerical analysis are now readily accessible.
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