Bringing together automatic differentiation and OpenMP
ICS '01 Proceedings of the 15th international conference on Supercomputing
Efficient derivative computations in neutron scattering via interface contraction
Proceedings of the 2002 ACM symposium on Applied computing
Geometric completion of differential systems using numeric-symbolic continuation
ACM SIGSAM Bulletin
Exploiting Intermediate Sparsity in Computing Derivatives for a Leapfrog Scheme
Computational Optimization and Applications
ICCS '02 Proceedings of the International Conference on Computational Science-Part II
On the Use of a Differentiated Finite Element Package for Sensitivity Analysis
ICCS '01 Proceedings of the International Conference on Computational Sciences-Part I
ICCS '02 Proceedings of the International Conference on Computational Science-Part II
Making Automatic Differentiation Truly Automatic: Coupling PETSc with ADIC
ICCS '02 Proceedings of the International Conference on Computational Science-Part II
Computation of Sensitivity Information for Aircraft Design by Automatic Differentiation
ICCS '02 Proceedings of the International Conference on Computational Science-Part II
Prospects for Simulated Annealing Algorithms in Automatic Differentiation
SAGA '01 Proceedings of the International Symposium on Stochastic Algorithms: Foundations and Applications
Sparsity issues in the computation of Jacobian matrices
Proceedings of the 2002 international symposium on Symbolic and algebraic computation
The complex-step derivative approximation
ACM Transactions on Mathematical Software (TOMS)
Proceedings of the 2003 ACM SIGGRAPH/Eurographics symposium on Computer animation
Towards differentiation-enabled Fortran 95 compiler technology
Proceedings of the 2003 ACM symposium on Applied computing
Automatic parallelism in differentiation of Fourier transforms
Proceedings of the 2003 ACM symposium on Applied computing
Solving large-scale optimization problems with EFCOSS
Advances in Engineering Software
Modeling the performance of interface contraction
ACM Transactions on Mathematical Software (TOMS)
A class of OpenMP applications involving nested parallelism
Proceedings of the 2004 ACM symposium on Applied computing
More accuracy at fixed precision
Journal of Computational and Applied Mathematics - Special issue: Proceedings of the international conference on linear algebra and arithmetic, Rabat, Morocco, 28-31 May 2001
ACM Transactions on Mathematical Software (TOMS)
A differentiation-enabled Fortran 95 compiler
ACM Transactions on Mathematical Software (TOMS)
An efficient overloaded implementation of forward mode automatic differentiation in MATLAB
ACM Transactions on Mathematical Software (TOMS)
Editorial: special section: Automatic differentiation and its applications
Future Generation Computer Systems
Using automatic differentiation to compute derivatives for a quantum-chemical computer program
Future Generation Computer Systems
Efficient and accurate derivatives for a software process chain in airfoil shape optimization
Future Generation Computer Systems
"To be recorded" analysis in reverse-mode automatic differentiation
Future Generation Computer Systems
Looking for narrow interfaces in automatic differentiation using graph drawing
Future Generation Computer Systems
Making automatic differentiation truly automatic: coupling PETSc with ADIC
Future Generation Computer Systems
Efficient reversal of the intraprocedural flow of control in adjoint computations
Journal of Systems and Software - Special issue: Selected papers from the 4th source code analysis and manipulation (SCAM 2004) workshop
Automatic differentiation of explicit Runge-Kutta methods for optimal control
Computational Optimization and Applications
A discrete model of thin shells
SIGGRAPH '05 ACM SIGGRAPH 2005 Courses
An interactive environment for supporting the transition from simulation to optimization
Scientific Programming - POOSC '01 Workshop
Reverse-mode AD in a functional framework: Lambda the ultimate backpropagator
ACM Transactions on Programming Languages and Systems (TOPLAS)
Parametric fortran: program generation in scientific computing
Journal of Software Maintenance and Evolution: Research and Practice
Computation of multiple Lie derivatives by algorithmic differentiation
Journal of Computational and Applied Mathematics
OpenAD/F: A Modular Open-Source Tool for Automatic Differentiation of Fortran Codes
ACM Transactions on Mathematical Software (TOMS)
Optimal vertex elimination in single-expression-use graphs
ACM Transactions on Mathematical Software (TOMS)
Certification of directional derivatives computed by automatic differentiation
MATH'05 Proceedings of the 7th WSEAS International Conference on Applied Mathematics
A Framework for Proving Correctness of Adjoint Message-Passing Programs
Proceedings of the 15th European PVM/MPI Users' Group Meeting on Recent Advances in Parallel Virtual Machine and Message Passing Interface
On the implementation of automatic differentiation tools
Higher-Order and Symbolic Computation
Semi-automatic parallelization of direct and inverse problems for geothermal simulation
Proceedings of the 2009 ACM symposium on Applied Computing
Journal of Discrete Algorithms
Editorial: Special section: Automatic differentiation and its applications
Future Generation Computer Systems
Using automatic differentiation to compute derivatives for a quantum-chemical computer program
Future Generation Computer Systems
Efficient and accurate derivatives for a software process chain in airfoil shape optimization
Future Generation Computer Systems
"To be recorded" analysis in reverse-mode automatic differentiation
Future Generation Computer Systems
Looking for narrow interfaces in automatic differentiation using graph drawing
Future Generation Computer Systems
Making automatic differentiation truly automatic: coupling PETSc with ADIC
Future Generation Computer Systems
General explicit difference formulas for numerical differentiation
Journal of Computational and Applied Mathematics
Markowitz-type heuristics for computing Jacobian matrices efficiently
ICCS'03 Proceedings of the 2003 international conference on Computational science: PartII
Sensitivities for a single drop simulation
ICCS'03 Proceedings of the 2003 international conference on Computational science: PartII
Uncertainty analysis based on sensitivities generated using automatic differentiation
ICCSA'03 Proceedings of the 2003 international conference on Computational science and its applications: PartII
Evaluation of a computer model for wavy falling films using EFCOSS
ICCSA'03 Proceedings of the 2003 international conference on Computational science and its applications: PartII
Automatic differentiation for optimum design, applied to sonic boom reduction
ICCSA'03 Proceedings of the 2003 international conference on Computational science and its applications: PartII
Hierarchical automatic differentiation by vertex elimination and source transformation
ICCSA'03 Proceedings of the 2003 international conference on Computational science and its applications: PartII
Using gradient information for multi-objective problems in the evolutionary context
Proceedings of the 12th annual conference companion on Genetic and evolutionary computation
Automatic generation of parallel code for Hessian computations
IWOMP'05/IWOMP'06 Proceedings of the 2005 and 2006 international conference on OpenMP shared memory parallel programming
Automatic differentiation in ACL2
ITP'11 Proceedings of the Second international conference on Interactive theorem proving
A system for interfacing MATLAB with external software geared toward automatic differentiation
ICMS'06 Proceedings of the Second international conference on Mathematical Software
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Source templates for the automatic generation of adjoint code through static call graph reversal
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part I
Computation of state and input trajectories for flat systems using automatic differentiation
Automatica (Journal of IFAC)
The Tapenade automatic differentiation tool: Principles, model, and specification
ACM Transactions on Mathematical Software (TOMS)
Journal of Global Optimization
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Automatic Differentiation (AD) is a maturing computational technology. It has become a mainstream tool used by practicing scientists and computer engineers. The rapid advance of hardware computing power and AD tools has enabled practitioners to generate derivative enhanced versions of their code for a broad range of applications in applied research and development. Automatic Differentiation of Algorithms provides a comprehensive and authoritative survey of all recent developments, new techniques, and tools for AD use.