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Recent Advances in Algorithmic Differentiation

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Cover of 'Recent Advances in Algorithmic Differentiation'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 A Leibniz Notation for Automatic Differentiation
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    Chapter 2 Sparse Jacobian Construction for Mapped Grid Visco-Resistive Magnetohydrodynamics
  4. Altmetric Badge
    Chapter 3 Combining Automatic Differentiation Methods for High-Dimensional Nonlinear Models
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    Chapter 4 Application of Automatic Differentiation to an Incompressible URANS Solver
  6. Altmetric Badge
    Chapter 5 Applying Automatic Differentiation to the Community Land Model
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    Chapter 6 Using Automatic Differentiation to Study the Sensitivity of a Crop Model
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    Chapter 7 Efficient Automatic Differentiation of Matrix Functions
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    Chapter 8 Native Handling of Message-Passing Communication in Data-Flow Analysis
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    Chapter 9 Increasing Memory Locality by Executing Several Model Instances Simultaneously
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    Chapter 10 Adjoint Mode Computation of Subgradients for McCormick Relaxations
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    Chapter 11 Evaluating an Element of the Clarke Generalized Jacobian of a Piecewise Differentiable Function
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    Chapter 12 The Impact of Dynamic Data Reshaping on Adjoint Code Generation for Weakly-Typed Languages Such as Matlab
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    Chapter 13 On the Efficient Computation of Sparsity Patterns for Hessians
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    Chapter 14 Exploiting Sparsity in Automatic Differentiation on Multicore Architectures
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    Chapter 15 Automatic Differentiation Through the Use of Hyper-Dual Numbers for Second Derivatives
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    Chapter 16 Connections Between Power Series Methods and Automatic Differentiation
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    Chapter 17 Hierarchical Algorithmic Differentiation A Case Study
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    Chapter 18 Storing Versus Recomputation on Multiple DAGs
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    Chapter 19 Using Directed Edge Separators to Increase Efficiency in the Determination of Jacobian Matrices via Automatic Differentiation
  21. Altmetric Badge
    Chapter 20 An Integer Programming Approach to Optimal Derivative Accumulation
  22. Altmetric Badge
    Chapter 21 The Relative Cost of Function and Derivative Evaluations in the CUTEr Test Set
  23. Altmetric Badge
    Chapter 22 Java Automatic Differentiation Tool Using Virtual Operator Overloading
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    Chapter 23 High-Order Uncertainty Propagation Enabled by Computational Differentiation
  25. Altmetric Badge
    Chapter 24 Generative Programming for Automatic Differentiation
  26. Altmetric Badge
    Chapter 25 AD in Fortran: Implementation via Prepreprocessor
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    Chapter 26 An AD-Enabled Optimization ToolBox in LabVIEW TM
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    Chapter 27 CasADi: A Symbolic Package for Automatic Differentiation and Optimal Control
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    Chapter 28 Efficient Expression Templates for Operator Overloading-Based Automatic Differentiation
  30. Altmetric Badge
    Chapter 29 Computing Derivatives in a Meshless Simulation Using Permutations in ADOL-C
  31. Altmetric Badge
    Chapter 30 Lazy K-Way Linear Combination Kernels for Efficient Runtime Sparse Jacobian Matrix Evaluations in C++
  32. Altmetric Badge
    Chapter 31 Implementation of Partial Separability in a Source-to-Source Transformation AD Tool
Attention for Chapter 25: AD in Fortran: Implementation via Prepreprocessor
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Chapter title
AD in Fortran: Implementation via Prepreprocessor
Chapter number 25
Book title
Recent Advances in Algorithmic Differentiation
Published in
arXiv, January 2012
DOI 10.1007/978-3-642-30023-3_25
Book ISBNs
978-3-64-230022-6, 978-3-64-230023-3
Authors

Alexey Radul, Barak A. Pearlmutter, Jeffrey Mark Siskind, Radul, Alexey, Pearlmutter, Barak A., Siskind, Jeffrey Mark

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 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 100%
Readers by discipline Count As %
Engineering 1 100%

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