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SUNDIALS: Suite of nonlinear and differential/algebraic equation solvers
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Source ACM Transactions on Mathematical Software (TOMS) archive
Volume 31 ,  Issue 3  (September 2005) table of contents
Special issue on the Advanced CompuTational Software (ACTS) Collection
Pages: 363 - 396  
Year of Publication: 2005
ISSN:0098-3500
Authors
Alan C. Hindmarsh  Lawrence Livermore National Laboratory, Livermore, CA
Peter N. Brown  Lawrence Livermore National Laboratory, Livermore, CA
Keith E. Grant  Lawrence Livermore National Laboratory, Livermore, CA
Steven L. Lee  Lawrence Livermore National Laboratory, Livermore, CA
Radu Serban  Lawrence Livermore National Laboratory, Livermore, CA
Dan E. Shumaker  Lawrence Livermore National Laboratory, Livermore, CA
Carol S. Woodward  Lawrence Livermore National Laboratory, Livermore, CA
Publisher
ACM  New York, NY, USA
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ABSTRACT

SUNDIALS is a suite of advanced computational codes for solving large-scale problems that can be modeled as a system of nonlinear algebraic equations, or as initial-value problems in ordinary differential or differential-algebraic equations. The basic versions of these codes are called KINSOL, CVODE, and IDA, respectively. The codes are written in ANSI standard C and are suitable for either serial or parallel machine environments. Common and notable features of these codes include inexact Newton-Krylov methods for solving large-scale nonlinear systems; linear multistep methods for time-dependent problems; a highly modular structure to allow incorporation of different preconditioning and/or linear solver methods; and clear interfaces allowing for users to provide their own data structures underneath the solvers. We describe the current capabilities of the codes, along with some of the algorithms and heuristics used to achieve efficiency and robustness. We also describe how the codes stem from previous and widely used Fortran 77 solvers, and how the codes have been augmented with forward and adjoint methods for carrying out first-order sensitivity analysis with respect to model parameters or initial conditions.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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REVIEW

"Wolfgang Schreiner : Reviewer"

The simulation of many physical phenomena, from turbulences in fusion reactors to water flows in porous media, requires the solution of systems of nonlinear and differential algebraic equations with thousands of unknowns. For the efficient computa  more...

Collaborative Colleagues:
Alan C. Hindmarsh: colleagues
Peter N. Brown: colleagues
Keith E. Grant: colleagues
Steven L. Lee: colleagues
Radu Serban: colleagues
Dan E. Shumaker: colleagues
Carol S. Woodward: colleagues