Test Set for Initial Value Problem Solvers

The Bari test set for IVP solvers presents a collection of Initial Value Problems to test solvers for implicit dierential equations. This test set can both decrease the eort for the code developer to test his software in a reliable way, and cross the bridge between the application eld and numerical mathematics, by helping people working in several branches of scientic disciplines in choosing the code most suitable for their problems. This document contains the descriptive part of the test set. It describes the solvers used in the comparisons, the test problems and their origin, and reports on the behavior of the solvers on these problems. The latest version of this document and the software part of the test set is available via the world wide web at http://www.dm.uniba.it/~testset. The software part serves as a platform on which one can test the performance of a solver on a particular test problem oneself. Instructions how to use this software are in this paper as well. The idea to develop this test set was discussed at the workshop ODE to NODE, held in Geiranger, Norway, 19{22 June 1995 and was developed by the CWI group. After the workshop ANODE01, held in Auckland, New Zealand, 2001, the testset moved to the University of Bari.

[1]  H. Fernholz Boundary Layer Theory , 2001 .

[2]  T. E. Hull,et al.  Comparing numerical methods for stiff systems of O.D.E:s , 1975 .

[3]  David E. Penney Differential Equations and Linear Algebra , 2000 .

[4]  Michael Günther,et al.  Simulating digital circuits numerically – a charge-oriented ROW approach , 1998 .

[5]  E. Hairer,et al.  Solving Ordinary Differential Equations II: Stiff and Differential-Algebraic Problems , 2010 .

[6]  S. Griffis EDITOR , 1997, Journal of Navigation.

[7]  Linda R. Petzold,et al.  Numerical solution of initial-value problems in differential-algebraic equations , 1996, Classics in applied mathematics.

[8]  R. M. Noyes,et al.  Oscillations in chemical systems. II. Thorough analysis of temporal oscillation in the bromate-cerium-malonic acid system , 1972 .

[9]  Bernd Simeon,et al.  Modelling a flexible slider crank mechanism by a mixed system of DAEs and PDEs , 1996 .

[10]  Lawrence F. Shampine,et al.  Evaluation of a Test Set for Stiff ODE Solvers , 1981, TOMS.

[11]  Panos M. Pardalos An open global optimization problem on the unit sphere , 1995, J. Glob. Optim..

[12]  Richard C Aiken,et al.  Stiff computation , 1985 .

[13]  Lennart Edsberg,et al.  Integration Package for Chemical Kinetics , 1974 .

[14]  H. Shichman,et al.  Modeling and simulation of insulated-gate field-effect transistor switching circuits , 1968 .

[15]  C. Lubich Integration of stiff mechanical systems by Runge-Kutta methods , 1993 .

[16]  Wp Wil Koppens The dynamics of systems of deformable bodies , 1989 .

[17]  Stephen Smale,et al.  Complexity of Bezout's Theorem: III. Condition Number and Packing , 1993, J. Complex..

[18]  Y. Genin,et al.  An algebraic approach toA-stable linear multistep-multiderivative integration formulas , 1974 .

[19]  A. Jaschinski ON THE APPLICATION OF SIMILARITY LAWS TO A SCALED RAILWAY BOGIE MODEL , 1990 .

[20]  P. Rentrop,et al.  Differential-algebraic Equations in Vehicle System Dynamics , 1991 .

[21]  Michael Günther,et al.  Modelling and simulating charge sensitive mos circuits , 1996 .

[22]  Michael Günther,et al.  The NAND-gate: a benchmark test for the numerical solution of digital circuits , 1996 .

[23]  B. Simeon,et al.  DAEs and PDEs in elastic multibody systems , 1998, Numerical Algorithms.

[24]  P. Rentrop,et al.  The application of Rosenbrock-Wanner type methods with stepsize control in differential-algebraic equations , 1989 .