ENGLISH

Advances in Automatic Differentiation

By Adrian Sandu (auth.) , Christian H. Bischof , H. Martin Bücker , Paul Hovland , Uwe Naumann , Jean Utke (eds.)

Book information

Publisher
Springer-Verlag Berlin Heidelberg
Year
2008
ISBN
3540689354, 9783540689355, 9783540689423
DOI
10.1007/978-3-540-68942-3
ISSN
1439-7358
LCC
QA304 .I58 2006
Open Library ID
OL22682752M
Language
english
Format
PDF
Filesize
7 MB (7200476 bytes)
Series
Lecture Notes in Computational Science and Engineering 64
Edition
1
Pages
368\366
Library
flazx.com
Time added
2010-02-18 13:16:04
Computational Science and Engineering; Computation

Description

This collection covers advances in automatic differentiation theory and practice. Computer scientists and mathematicians will learn about recent developments in automatic differentiation theory as well as mechanisms for the construction of robust and powerful automatic differentiation tools. Computational scientists and engineers will benefit from the discussion of various applications, which provide insight into effective strategies for using automatic differentiation for inverse problems and design optimization.

Similar books