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Cover Art
Author International Conference on Automatic Differentiation (6th : 2012 : Fort Collins, Colo.)

Title Recent advances in algorithmic differentiation [electronic resource] / Shaun Forth...[et al.], editors.

Published Berlin ; New York : Springer, c2012.


Location Call No. Status
Physical description 1 online resource.
Series Lecture notes in computational science and engineering, 1439-7358 ; 87
Lecture notes in computational science and engineering ; 87.
Contents A Leibniz Notation for Automatic Differentiation / Bruce Christianson -- Sparse Jacobian Construction for Mapped Grid Visco-Resistive Magnetohydrodynamics / Daniel R. Reynolds and Ravi Samtaney -- Combining Automatic Differentiation Methods for High-Dimensional Nonlinear Models / James A. Reed, Jean Utke and Hany S. Abdel-Khalik -- Application of Automatic Differentiation to an Incompressible URANS Solver / Emre Özkaya, Anil Nemili and Nicolas R. Gauger -- Applying Automatic Differentiation to the Community Land Model / Azamat Mametjanov, Boyana Norris, Xiaoyan Zeng, Beth Drewniak and Jean Utke, et al. -- Using Automatic Differentiation to Study the Sensitivity of a Crop Model / Claire Lauvernet, Laurent Hascoët, François-Xavier Le Dimet and Frédéric Baret -- Efficient Automatic Differentiation of Matrix Functions / Peder A. Olsen, Steven J. Rennie and Vaibhava Goel -- Native Handling of Message-Passing Communication in Data-Flow Analysis / Valérie Pascual and Laurent Hascoët -- Increasing Memory Locality by Executing Several Model Instances Simultaneously / Ralf Giering and Michael Vo{szlig}beck -- Adjoint Mode Computation of Subgradients for McCormick Relaxations / Markus Beckers, Viktor Mosenkis and Uwe Naumann -- Evaluating an Element of the Clarke Generalized Jacobian of a Piecewise Differentiable Function / Kamil A. Khan and Paul I. Barton -- The Impact of Dynamic Data Reshaping on Adjoint Code Generation for Weakly-Typed Languages Such as Matlab / Johannes Willkomm, Christian H. Bischof and H. Martin Bücker -- On the Efficient Computation of Sparsity Patterns for Hessians / Andrea Walther -- Exploiting Sparsity in Automatic Differentiation on Multicore Architectures / Benjamin Letschert, Kshitij Kulshreshtha, Andrea Walther, Duc Nguyen and Assefaw Gebremedhin, et al. -- Automatic Differentiation Through the Use of Hyper-Dual Numbers for Second Derivatives / Jeffrey A. Fike and Juan J. Alonso -- Connections Between Power Series Methods and Automatic Differentiation / David C. Carothers, Stephen K. Lucas, G. Edgar Parker, Joseph D. Rudmin and James S. Sochacki, et al. -- Hierarchical Algorithmic Differentiation A Case Study / Johannes Lotz, Uwe Naumann and Jörn Ungermann -- Storing Versus Recomputation on Multiple DAGs / Heather Cole-Mullen, Andrew Lyons and Jean Utke -- Using Directed Edge Separators to Increase Efficiency in the Determination of Jacobian Matrices via Automatic Differentiation / Thomas F. Coleman, Xin Xiong and Wei Xu -- An Integer Programming Approach to Optimal Derivative Accumulation / Jieqiu Chen, Paul Hovland, Todd Munson and Jean Utke -- The Relative Cost of Function and Derivative Evaluations in the CUTEr Test Set / Torsten Bosse and Andreas Griewank -- Java Automatic Differentiation Tool Using Virtual Operator Overloading / Phuong Pham-Quang and Benoit Delinchant -- High-Order Uncertainty Propagation Enabled by Computational Differentiation / Ahmad Bani Younes, James Turner, Manoranjan Majji and John Junkins -- Generative Programming for Automatic Differentiation / Marco Nehmeier -- AD in Fortran: Implementation via Prepreprocessor / Alexey Radul, Barak A. Pearlmutter and Jeffrey Mark Siskind -- An AD-Enabled Optimization ToolBox in LabVIEWTM / Abhishek Kr. Gupta and Shaun A. Forth -- CasADi: A Symbolic Package for Automatic Differentiation and Optimal Control / Joel Andersson, Johan Åkesson and Moritz Diehl -- Efficient Expression Templates for Operator Overloading-Based Automatic Differentiation / Eric Phipps and Roger Pawlowski -- Computing Derivatives in a Meshless Simulation Using Permutations in ADOL-C / Kshitij Kulshreshtha and Jan Marburger -- Lazy K-Way Linear Combination Kernels for Efficient Runtime Sparse Jacobian Matrix Evaluations in C++ / Rami M. Younis and Hamdi A. Tchelepi -- Implementation of Partial Separability in a Source-to-Source Transformation AD Tool / Sri Hari Krishna Narayanan, Boyana Norris, Paul Hovland and Assefaw Gebremedhin.
Bibliography Includes bibliographical references.
Other author Forth, Shaun.
Subject Differential calculus -- Data processing -- Congresses.
Differential-difference equations -- Data processing -- Congresses.
Computer science.
Electronic data processing.
Computer software.
Mathematical optimization.
Computational Mathematics and Numerical Analysis.
Computational Science and Engineering.
Mathematical Software.
Numeric Computing.
Programming Languages, Compilers, Interpreters.
Electronic books.
ISBN 9783642300233 (electronic bk.)
3642300235 (electronic bk.)