Publications by Author: Pryce
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Order by: [Title], [Author], [Editor], [Year]
Paul H. Davis, John D. Pryce
A New Implementation of Automatic Differentiation for Use with Numerical Software
School of Mathematics, University of Bristol, 1987
not yet classified
Mohamed Tadjouddine, Shaun A. Forth, John D. Pryce
AD Tools and Prospects for Optimal AD in CFD Flux Jacobian Calculations
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer, 2002
Application Area:
Computational Fluid Dynamics
Tools:
AD01, ADIFOR, TAMC
John D. Pryce, John K. Reid
ADO1, a Fortran 90 code for Automatic Differentiation
Rutherford Appleton Laboratory, 1998
Tools:
HSL_AD02
John D. Pryce, Mohamed Tadjouddine
Cheap Jacobians by AD Regarded as Compact LU Factorization
2005
Theory & Techniques:
Code Optimization, Data Flow Analysis, X-Country
J. D. Pryce, Khoshsiar Ghaziani, R. , De Witte, V. , W. Govaerts
Computation of normal form coefficients of cycle bifurcations of maps by algorithmic differentiation
Article in Mathematics and Computers in Simulation, Elsevier Science Publishers B. V., 2010
Tools:
CL_MatContM
Theory & Techniques:
Taylor Arithmetic
Bruce R. Stephens, John D. Pryce
DAPRE: A Differentiation Arithmetic System for FORTRAN
Royal Military College of Science, 1991
not yet classified
John D. Pryce, Emmanuel M. Tadjouddine
Fast Automatic Differentiation Jacobians by Compact LU Factorization
Article in SIAM Journal on Scientific Computing, SIAM, 2008
Theory & Techniques:
General
Mohamed Tadjouddine, Shaun A. Forth, John D. Pryce
Hierarchical Automatic Differentiation by Vertex Elimination and Source Transformation
Conference proceeding, Computational Science and Its Applications -- ICCSA 2003, Proceedings of the International Conference on Computational Science and its Applications, Montreal, Canada, May 18--21, 2003. Part II, Springer, 2003
Application Area:
Computational Fluid Dynamics
Tools:
EliAD
Theory & Techniques:
Hierarchical Approach
John D. Pryce, Nedialko S. Nedialkov, Guangning Tan, Xiao Li
How AD can help solve differential-algebraic equations
Article in Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis, 2018
not yet classified
Mohamed Tadjouddine, Frances Bodman, John D. Pryce, Shaun A. Forth
Improving the Performance of the Vertex Elimination Algorithm for Derivative Calculation
Automatic Differentiation: Applications, Theory, and Implementations, Springer, 2005
Tools:
EliAD
Theory & Techniques:
X-Country
Shaun A. Forth, Mohamed Tadjouddine, John D. Pryce, John K. Reid
Jacobian Code Generated by Source Transformation and Vertex Elimination can be as Efficient as Hand-Coding
Article in ACM Transactions on Mathematical Software, 2004
Theory & Techniques:
Code Optimization, Data Flow Analysis, X-Country
Bruce R. Stephens, John D. Pryce
Passing functions in Fortran for automatic differentiation
School of Mathematics, University of Bristol, 1987
not yet classified
Mohamed Tadjouddine, Shaun A. Forth, John D. Pryce, John K. Reid
Performance Issues for Vertex Elimination Methods in Computing Jacobians using Automatic Differentiation
Conference proceeding, Computational Science -- ICCS 2002, Proceedings of the International Conference on Computational Science, Amsterdam, The Netherlands, April 21--24, 2002. Part II, Springer, 2002
Tools:
EliAD
Theory & Techniques:
Code Optimization, Data Flow Analysis, X-Country
Paul H. Davis, John D. Pryce, Bruce Stephens
Recent Developments in Automatic Differentiation
Scientific Software Systems, Chapman and Hall, 1990
not yet classified
Nedialko S. Nedialkov, John D. Pryce
Solving Differential-Algebraic Equations by Taylor Series (I): Computing Taylor Coefficients
Article in BIT, 2005
Theory & Techniques:
Taylor Arithmetic
John D. Pryce
Solving High-Index DAEs by Taylor Series
Article in Numerical Algorithms, 1998
Theory & Techniques:
Taylor Arithmetic

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