SUNDIALS (SUite of Nonlinear and DIfferential/ALgebraic equation Solvers) consists of the following six solvers:

CVODE solves initial value problems for ordinary differential equation (ODE) systems.
CVODES solves ODE systems and includes sensitivity analysis capabilities (forward and adjoint).
ARKODE solves initial value ODE problems with additive Runge-Kutta methods, include support for IMEX methods.
IDA solves initial value problems for differential-algebraic equation (DAE) systems.
IDAS solves DAE systems and includes sensitivity analysis capabilities (forward and adjoint).
KINSOL solves nonlinear algebraic systems.

In addition, SUNDIALS provides a Matlab interface to CVODES, IDAS, and KINSOL, sundialsTB. [Note: sundialsTB has not been updated in release v. 2.6.0.  We expect to update this in a future release.]


03 Aug 2015 New release (v.2.6.2) [Download | What's new?]
30 Mar 2015 New release (v.2.6.1)
13 Mar 2015 New release (v.2.6.0)
21 Mar 2012 New release (v.2.5.0)
11 May 2009 New release (v.2.4.0)
06 Nov 2006 New release (v.2.3.0)
27 Mar 2006 New release (v.2.2.0)
Added FAQ [Browse] and Usage Notes [Browse]
19 May 2005 New release (v.2.1.1)
sundialsTB - Matlab interface for CVODES
11 Apr 2005 New release (v.2.1.0)
22 Mar 2005 Added sundials-users mailing list archive
Added download links for older versions
03 Mar 2005 New release (v.2.0.2)
28 Jan 2005 Added mailing lists [Subscribe]
New release (v.2.0.1)
08 Dec 2004 New release (v.2.0)


Carol Woodward Nonlinear Solvers and Differential Equations Project
Alan Hindmarsh Center for Applied Scientific Computing

The SUNDIALS Team: Carol S. Woodward, Daniel R. Reynolds, Alan C. Hindmarsh, and Lawrence E. Banks. We acknowledge significant past contributions of Radu Serban.

We also acknowledge past contributions of Peter N. Brown, Scott Cohen, Aaron Collier, Keith E. Grant, Steven L. Lee, Cosmin Petra, Dan Shumaker, and Allan G. Taylor.


We thank the Department of Energy Office of Advanced Scientific Computing Research SciDAC Program and the Office of Electricity Delivery and Energy Reliability Advanced Grid Modeling Program for their support. We also thank the LLNL ISCP Program for their support. We gratefully acknowledge the NNSA ASC Program and the LLNL Laboratory Directed Research and Development Program for their prior support.