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

9783642300226, 9783642300233

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AD in Fortran: Implementation via Prepreprocessor

Lecture Notes in Computational Science and Engineering - Recent Advances in Algorithmic Differentiation ◽

10.1007/978-3-642-30023-3_25 ◽

2012 ◽

pp. 273-284

Author(s):

Alexey Radul ◽

Barak A. Pearlmutter ◽

Jeffrey Mark Siskind

Keyword(s):

Fortran Implementation

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CasADi: A Symbolic Package for Automatic Differentiation and Optimal Control

Lecture Notes in Computational Science and Engineering - Recent Advances in Algorithmic Differentiation ◽

10.1007/978-3-642-30023-3_27 ◽

2012 ◽

pp. 297-307 ◽

Cited By ~ 126

Author(s):

Joel Andersson ◽

Johan Åkesson ◽

Moritz Diehl

Keyword(s):

Optimal Control ◽

Automatic Differentiation

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High-Order Uncertainty Propagation Enabled by Computational Differentiation

Lecture Notes in Computational Science and Engineering - Recent Advances in Algorithmic Differentiation ◽

10.1007/978-3-642-30023-3_23 ◽

2012 ◽

pp. 251-260 ◽

Cited By ~ 3

Author(s):

Ahmad Bani Younes ◽

James Turner ◽

Manoranjan Majji ◽

John Junkins

Keyword(s):

Uncertainty Propagation ◽

High Order

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The Impact of Dynamic Data Reshaping on Adjoint Code Generation for Weakly-Typed Languages Such as Matlab

Lecture Notes in Computational Science and Engineering - Recent Advances in Algorithmic Differentiation ◽

10.1007/978-3-642-30023-3_12 ◽

2012 ◽

pp. 127-138 ◽

Cited By ~ 1

Author(s):

Johannes Willkomm ◽

Christian H. Bischof ◽

H. Martin Bücker

Keyword(s):

Code Generation ◽

Dynamic Data ◽

The Impact ◽

Typed Languages

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Connections Between Power Series Methods and Automatic Differentiation

Lecture Notes in Computational Science and Engineering - Recent Advances in Algorithmic Differentiation ◽

10.1007/978-3-642-30023-3_16 ◽

2012 ◽

pp. 175-185 ◽

Cited By ~ 1

Author(s):

David C. Carothers ◽

Stephen K. Lucas ◽

G. Edgar Parker ◽

Joseph D. Rudmin ◽

James S. Sochacki ◽

...

Keyword(s):

Power Series ◽

Automatic Differentiation ◽

Power Series Methods

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Application of Automatic Differentiation to an Incompressible URANS Solver

Lecture Notes in Computational Science and Engineering - Recent Advances in Algorithmic Differentiation ◽

10.1007/978-3-642-30023-3_4 ◽

2012 ◽

pp. 35-45

Author(s):

Emre Özkaya ◽

Anil Nemili ◽

Nicolas R. Gauger

Keyword(s):

Automatic Differentiation

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Applying Automatic Differentiation to the Community Land Model

Lecture Notes in Computational Science and Engineering - Recent Advances in Algorithmic Differentiation ◽

10.1007/978-3-642-30023-3_5 ◽

2012 ◽

pp. 47-57 ◽

Cited By ~ 1

Author(s):

Azamat Mametjanov ◽

Boyana Norris ◽

Xiaoyan Zeng ◽

Beth Drewniak ◽

Jean Utke ◽

...

Keyword(s):

Automatic Differentiation ◽

Community Land Model

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Implementation of Partial Separability in a Source-to-Source Transformation AD Tool

Lecture Notes in Computational Science and Engineering - Recent Advances in Algorithmic Differentiation ◽

10.1007/978-3-642-30023-3_31 ◽

2012 ◽

pp. 343-353

Author(s):

Sri Hari Krishna Narayanan ◽

Boyana Norris ◽

Paul Hovland ◽

Assefaw Gebremedhin

Keyword(s):

Partial Separability ◽

Source Transformation

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Combining Automatic Differentiation Methods for High-Dimensional Nonlinear Models

Lecture Notes in Computational Science and Engineering - Recent Advances in Algorithmic Differentiation ◽

10.1007/978-3-642-30023-3_3 ◽

2012 ◽

pp. 23-33

Author(s):

James A. Reed ◽

Jean Utke ◽

Hany S. Abdel-Khalik

Keyword(s):

Automatic Differentiation ◽

Nonlinear Models ◽

High Dimensional

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An Integer Programming Approach to Optimal Derivative Accumulation

Lecture Notes in Computational Science and Engineering - Recent Advances in Algorithmic Differentiation ◽

10.1007/978-3-642-30023-3_20 ◽

2012 ◽

pp. 221-231

Author(s):

Jieqiu Chen ◽

Paul Hovland ◽

Todd Munson ◽

Jean Utke

Keyword(s):

Integer Programming ◽

Programming Approach

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Lecture Notes in Computational Science and Engineering - Recent Advances in Algorithmic DifferentiationLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

AD in Fortran: Implementation via Prepreprocessor

CasADi: A Symbolic Package for Automatic Differentiation and Optimal Control

High-Order Uncertainty Propagation Enabled by Computational Differentiation

The Impact of Dynamic Data Reshaping on Adjoint Code Generation for Weakly-Typed Languages Such as Matlab

Connections Between Power Series Methods and Automatic Differentiation

Application of Automatic Differentiation to an Incompressible URANS Solver

Applying Automatic Differentiation to the Community Land Model

Implementation of Partial Separability in a Source-to-Source Transformation AD Tool

Combining Automatic Differentiation Methods for High-Dimensional Nonlinear Models

An Integer Programming Approach to Optimal Derivative Accumulation

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