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

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 ?Ozkaya, 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 Hasco?et, Fran?cois-Xavier Le Dimet and Fr?ed?eric 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 / Val?erie Pascual and Laurent Hasco?et -- Increasing Memory Locality by Executing Several Model Instances Simultaneously / Ralf Giering and Michael Vossbeck -- 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 B?ucker -- 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 J?orn 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 ?Akesson 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.

Includes bibliographical references.