John D. Pryce - researchr alias

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Viewing Publication 1 - 25 from 25

2022

An Energy-Based, Always Index $\leq$ 1 and Structurally Amenable Electrical Circuit ModelNedialko S. Nedialkov, John D. Pryce, Lena Scholz. siamsc, 44(4):1122, August 2022. [doi]

2020

Another Multibody Dynamics in Natural Coordinates through Automatic Differentiation and High-Index DAE SolvingJohn D. Pryce, Nedialko S. Nedialkov. actaC, 24(3):315-341, 2020. [doi]

2018

How AD can help solve differential-algebraic equationsJohn D. Pryce, Nedialko S. Nedialkov, Guangning Tan, Xiao Li. oms, 33(4-6):729-749, 2018. [doi]

2015

Algorithm 948: DAESA - A Matlab Tool for Structural Analysis of Differential-Algebraic Equations: SoftwareNedialko S. Nedialkov, John D. Pryce, Guangning Tan. TOMS, 41(2):12, 2015. [doi]

DAESA - A Matlab Tool for Structural Analysis of Differential-Algebraic Equations: TheoryJohn D. Pryce, Nedialko S. Nedialkov, Guangning Tan. TOMS, 41(2):9, 2015. [doi]

2014

The Forthcoming IEEE Standard 1788 for Interval ArithmeticJohn D. Pryce. scan 2016: 23-39 [doi]

2013

Uses of differential-algebraic equations for trajectory planning and feedforward control of spatially two-dimensional heat transfer processesAndreas Rauh, Harald Aschemann, Nedialko S. Nedialkov, John D. Pryce. saga 2013: 155-160 [doi]

A differential-algebraic approach for robust control design and disturbance compensation of finite-dimensional models of heat transfer processesAndreas Rauh, Christina Dittrich, Harald Aschemann, Nedialko S. Nedialkov, John D. Pryce. icmech 2013: 40-45 [doi]

2012

Sensitivity analysis for systems of differential-algebraic equations with applications to predictive control and parameter estimationAndreas Rauh, Luise Senkel, Harald Aschemann, Nedialko S. Nedialkov, John D. Pryce. IEEEcca 2012: 1640-1645 [doi]

2008

2006

Interval Subroutine Library MissionGeorge F. Corliss, R. Baker Kearfott, Nedialko S. Nedialkov, John D. Pryce, Spencer Smith. Dagstuhl 2006: [doi]

Interval Arithmetic with Containment SetsJohn D. Pryce, George F. Corliss. computing, 78(3):251-276, 2006. [doi]

2004

Jacobian code generated by source transformation and vertex elimination can be as efficient as hand-codingShaun A. Forth, Mohamed Tadjouddine, John D. Pryce, John K. Reid. TOMS, 30(3):266-299, 2004. [doi]

2003

Hierarchical Automatic Differentiation by Vertex Elimination and Source TransformationMohamed Tadjouddine, Shaun A. Forth, John D. Pryce. iccsa 2003: 115-124 [doi]

2002

Performance Issues for Vertex Elimination Methods in Computing Jacobians Using Automatic DifferentiationMohamed Tadjouddine, Shaun A. Forth, John D. Pryce, John K. Reid. iccS 2002: 1077-1086 [doi]

2001

An Effective High-Order Interval Method for Validating Existence and Uniqueness of the Solution of an IVP for an ODENedialko S. Nedialkov, Kenneth R. Jackson, John D. Pryce. rc, 7(6):449-465, 2001. [doi]

1999

A test package for Sturm-Liouville solversJohn D. Pryce. TOMS, 25(1):21-57, 1999. [doi]

Algorithm 789: SLTSTPAK: : a test package for Sturm-Liouville solversJohn D. Pryce. TOMS, 25(1):58-69, 1999. [doi]

1989

Corrigenda: Two FORTRAN Packages for Assessing Initial Value Methods Wayne H. Enright, John D. Pryce. TOMS, 15(3):287, 1989. [doi]

1987

Two FORTRAN packages for assessing initial value methodsWayne H. Enright, John D. Pryce. TOMS, 13(1):1-27, 1987. [doi]

Algorithm 648: NSDTST and STDTST: routines for assessing the performance of IV solversWayne H. Enright, John D. Pryce. TOMS, 13(1):28-34, 1987. [doi]

1985

Experiences with Writing Library Software for an Attached ProcessorJohn D. Pryce. SPE, 15(7):705-714, 1985.

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