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ORCIDJohn D. Pryce
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2020 – today
- 2022
[j17]Nedialko S. Nedialkov
, John D. Pryce, Lena Scholz:
An Energy-Based, Always Index $\leq$ 1 and Structurally Amenable Electrical Circuit Model. SIAM J. Sci. Comput. 44(4): 1122- (2022)- 2021
- [i7]Nedialko S. Nedialkov, John D. Pryce, Lena Scholz:
An Energy-based, always Index ≤1 and Structurally Amenable Electrical Circuit Model. CoRR abs/2108.05106 (2021) - 2020
- [j16]John D. Pryce, Nedialko S. Nedialkov:
Another Multibody Dynamics in Natural Coordinates through Automatic Differentiation and High-Index DAE Solving. Acta Cybern. 24(3): 315-341 (2020) - [i6]John D. Pryce:
A compact, structural analysis amenable, port-Hamiltonian circuit analysis. CoRR abs/2006.02885 (2020)
2010 – 2019
- 2018
- [j15]John D. Pryce, Nedialko S. Nedialkov, Guangning Tan, Xiao Li:
How AD can help solve differential-algebraic equations. Optim. Methods Softw. 33(4-6): 729-749 (2018) - 2016
- [i5]Guangning Tan, Nedialko S. Nedialkov, John D. Pryce:
Conversion Methods for Improving Structural Analysis of Differential-Algebraic Equation Systems. CoRR abs/1608.06691 (2016) - [i4]Guangning Tan, Nedialko S. Nedialkov, John D. Pryce:
Conversion Methods, Block Triangularization, and Structural Analysis of Differential-Algebraic Equation Systems. CoRR abs/1608.06693 (2016) - 2015
- [j14]John D. Pryce, Nedialko S. Nedialkov, Guangning Tan:
DAESA - A Matlab Tool for Structural Analysis of Differential-Algebraic Equations: Theory. ACM Trans. Math. Softw. 41(2): 9:1-9:20 (2015) - [j13]Nedialko S. Nedialkov, John D. Pryce, Guangning Tan:
Algorithm 948: DAESA - A Matlab Tool for Structural Analysis of Differential-Algebraic Equations: Software. ACM Trans. Math. Softw. 41(2): 12:1-12:14 (2015) - [i3]Guangning Tan, Nedialko S. Nedialkov, John D. Pryce:
Symbolic-numeric methods for improving structural analysis of differential-algebraic equation systems. CoRR abs/1505.03445 (2015) - 2014
- [c8]John D. Pryce:
The Forthcoming IEEE Standard 1788 for Interval Arithmetic. SCAN 2014: 23-39 - 2013
- [c7]Andreas Rauh, Christina Dittrich, Harald Aschemann, Nedialko S. Nedialkov, John D. Pryce:
A differential-algebraic approach for robust control design and disturbance compensation of finite-dimensional models of heat transfer processes. ICM 2013: 40-45 - [c6]Andreas Rauh, Harald Aschemann, Nedialko S. Nedialkov, John D. Pryce:
Uses of differential-algebraic equations for trajectory planning and feedforward control of spatially two-dimensional heat transfer processes. MMAR 2013: 155-160 - 2012
- [c5]Andreas Rauh, Luise Senkel, Harald Aschemann, Nedialko S. Nedialkov, John D. Pryce:
Sensitivity analysis for systems of differential-algebraic equations with applications to predictive control and parameter estimation. CCA 2012: 1640-1645 - 2010
- [j12]John D. Pryce, Reza Khoshsiar Ghaziani, Virginie De Witte, Willy Govaerts:
Computation of normal form coefficients of cycle bifurcations of maps by algorithmic differentiation. Math. Comput. Simul. 81(1): 109-119 (2010)
2000 – 2009
- 2008
- [j11]John D. Pryce, Emmanuel M. Tadjouddine:
Fast Automatic Differentiation Jacobians by Compact LU Factorization. SIAM J. Sci. Comput. 30(4): 1659-1677 (2008) - [c4]R. Baker Kearfott, John D. Pryce, Nathalie Revol:
Discussions on an Interval Arithmetic Standard at Dagstuhl Seminar 08021. Numerical Validation in Current Hardware Architectures 2008: 1-6 - [c3]George F. Corliss, R. Baker Kearfott, Nedialko S. Nedialkov, John D. Pryce, Spencer Smith:
Interval Subroutine Library Mission. Reliable Implementation of Real Number Algorithms 2008: 28-43 - [i2]John D. Pryce, George F. Corliss, R. Baker Kearfott, Nedialko S. Nedialkov, Spencer Smith:
Second Note on Basic Interval Arithmetic for IEEE754R. Numerical Validation in Current Hardware Architectures 2008 - 2006
- [j10]John D. Pryce, George F. Corliss:
Interval Arithmetic with Containment Sets. Computing 78(3): 251-276 (2006) - [i1]George F. Corliss, R. Baker Kearfott, Nedialko S. Nedialkov, John D. Pryce, Spencer Smith:
Interval Subroutine Library Mission. Reliable Implementation of Real Number Algorithms 2006 - 2004
- [j9]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. ACM Trans. Math. Softw. 30(3): 266-299 (2004) - 2003
- [c2]Mohamed Tadjouddine, Shaun A. Forth, John D. Pryce:
Hierarchical Automatic Differentiation by Vertex Elimination and Source Transformation. ICCSA (2) 2003: 115-124 - 2002
- [c1]Mohamed Tadjouddine, Shaun A. Forth, John D. Pryce, John K. Reid:
Performance Issues for Vertex Elimination Methods in Computing Jacobians Using Automatic Differentiation. International Conference on Computational Science (2) 2002: 1077-1086 - 2001
- [j8]Nedialko S. Nedialkov, Kenneth R. Jackson, John D. Pryce:
An Effective High-Order Interval Method for Validating Existence and Uniqueness of the Solution of an IVP for an ODE. Reliab. Comput. 7(6): 449-465 (2001)
1990 – 1999
- 1999
- [j7]John D. Pryce:
A test package for Sturm-Liouville solvers. ACM Trans. Math. Softw. 25(1): 21-57 (1999) - [j6]John D. Pryce:
Algorithm 789: SLTSTPAK: : a test package for Sturm-Liouville solvers. ACM Trans. Math. Softw. 25(1): 58-69 (1999) - 1998
- [j5]John D. Pryce:
Solving high-index DAEs by Taylor series. Numer. Algorithms 19(1-4): 195-211 (1998)
1980 – 1989
- 1989
- [j4]Wayne H. Enright, John D. Pryce:
Corrigenda: "Two FORTRAN Packages for Assessing Initial Value Methods". ACM Trans. Math. Softw. 15(3): 287 (1989) - 1987
- [j3]Wayne H. Enright, John D. Pryce:
Two FORTRAN packages for assessing initial value methods. ACM Trans. Math. Softw. 13(1): 1-27 (1987) - [j2]Wayne H. Enright, John D. Pryce:
Algorithm 648: NSDTST and STDTST: routines for assessing the performance of IV solvers. ACM Trans. Math. Softw. 13(1): 28-34 (1987) - 1985
- [j1]John D. Pryce:
Experiences with Writing Library Software for an Attached Processor. Softw. Pract. Exp. 15(7): 705-714 (1985)
Coauthor Index
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