Advances in Automatic Differentiation - Lecture Notes in Computational Science and Engineering
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Published By Springer Berlin Heidelberg

9783540689355, 9783540689423

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Algorithmic Differentiation of Implicit Functions and Optimal Values

Advances in Automatic Differentiation - Lecture Notes in Computational Science and Engineering ◽

10.1007/978-3-540-68942-3_7 ◽

2008 ◽

pp. 67-77 ◽

Cited By ~ 20

Author(s):

Bradley M. Bell ◽

James V. Burke

Keyword(s):

Implicit Functions ◽

Algorithmic Differentiation ◽

Optimal Values

Structure-Exploiting Automatic Differentiation of Finite Element Discretizations

Advances in Automatic Differentiation - Lecture Notes in Computational Science and Engineering ◽

10.1007/978-3-540-68942-3_30 ◽

2008 ◽

pp. 339-349 ◽

Cited By ~ 1

Author(s):

Philipp Stumm ◽

Andrea Walther ◽

Jan Riehme ◽

Uwe Naumann

Keyword(s):

Finite Element ◽

Automatic Differentiation ◽

Finite Element Discretizations ◽

Element Discretizations

Code Optimization Techniques in Source Transformations for Interpreted Languages

Advances in Automatic Differentiation - Lecture Notes in Computational Science and Engineering ◽

10.1007/978-3-540-68942-3_20 ◽

2008 ◽

pp. 223-233 ◽

Cited By ~ 3

Author(s):

H. Martin Bücker ◽

Monika Petera ◽

Andre Vehreschild

Keyword(s):

Optimization Techniques ◽

Code Optimization

Coping with a Variable Number of Arguments when Transforming MATLAB Programs

Advances in Automatic Differentiation - Lecture Notes in Computational Science and Engineering ◽

10.1007/978-3-540-68942-3_19 ◽

2008 ◽

pp. 211-222

Author(s):

H. Martin Bücker ◽

Andre Vehreschild

Keyword(s):

Variable Number

Efficient Higher-Order Derivatives of the Hypergeometric Function

Advances in Automatic Differentiation - Lecture Notes in Computational Science and Engineering ◽

10.1007/978-3-540-68942-3_12 ◽

2008 ◽

pp. 127-137 ◽

Cited By ~ 3

Author(s):

Isabelle Charpentier ◽

Claude Dal Cappello ◽

Jean Utke

Keyword(s):

Hypergeometric Function ◽

Higher Order ◽

Derivatives Of

Reverse Automatic Differentiation of Linear Multistep Methods

Advances in Automatic Differentiation - Lecture Notes in Computational Science and Engineering ◽

10.1007/978-3-540-68942-3_1 ◽

2008 ◽

pp. 1-12 ◽

Cited By ~ 5

Author(s):

Adrian Sandu

Keyword(s):

Automatic Differentiation ◽

Multistep Methods ◽

Linear Multistep Methods

Large Electrical Power Systems Optimization Using Automatic Differentiation

Advances in Automatic Differentiation - Lecture Notes in Computational Science and Engineering ◽

10.1007/978-3-540-68942-3_26 ◽

2008 ◽

pp. 293-302 ◽

Cited By ~ 1

Author(s):

Fabrice Zaoui

Keyword(s):

Power Systems ◽

Automatic Differentiation ◽

Electrical Power ◽

Electrical Power Systems

TAPENADE for C

Advances in Automatic Differentiation - Lecture Notes in Computational Science and Engineering ◽

10.1007/978-3-540-68942-3_18 ◽

2008 ◽

pp. 199-209 ◽

Cited By ~ 7

Author(s):

Valérie Pascual ◽

Laurent Hascoët

Design and Implementation of a Context-Sensitive, Flow-Sensitive Activity Analysis Algorithm for Automatic Differentiation

Advances in Automatic Differentiation - Lecture Notes in Computational Science and Engineering ◽

10.1007/978-3-540-68942-3_11 ◽

2008 ◽

pp. 115-125 ◽

Cited By ~ 1

Author(s):

Jaewook Shin ◽

Priyadarshini Malusare ◽

Paul D. Hovland

Keyword(s):

Automatic Differentiation ◽

Activity Analysis ◽

Analysis Algorithm ◽

Context Sensitive ◽

Design And Implementation

Using Programming Language Theory to Make Automatic Differentiation Sound and Efficient

Advances in Automatic Differentiation - Lecture Notes in Computational Science and Engineering ◽

10.1007/978-3-540-68942-3_8 ◽

2008 ◽

pp. 79-90 ◽

Cited By ~ 2

Author(s):

Barak A. Pearlmutter ◽

Jeffrey Mark Siskind

Keyword(s):

Programming Language ◽

Automatic Differentiation ◽

Language Theory

Advances in Automatic Differentiation - Lecture Notes in Computational Science and EngineeringLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Algorithmic Differentiation of Implicit Functions and Optimal Values

Structure-Exploiting Automatic Differentiation of Finite Element Discretizations

Code Optimization Techniques in Source Transformations for Interpreted Languages

Coping with a Variable Number of Arguments when Transforming MATLAB Programs

Efficient Higher-Order Derivatives of the Hypergeometric Function

Reverse Automatic Differentiation of Linear Multistep Methods

Large Electrical Power Systems Optimization Using Automatic Differentiation

TAPENADE for C

Design and Implementation of a Context-Sensitive, Flow-Sensitive Activity Analysis Algorithm for Automatic Differentiation

Using Programming Language Theory to Make Automatic Differentiation Sound and Efficient

Advances in Automatic Differentiation - Lecture Notes in Computational Science and Engineering
Latest Publications