[SciPy-user] Incorporating SUNDIALS in SciPy
Jan-Jan van der Vyver
janjan at ini.phys.ethz.ch
Fri Dec 10 03:16:34 CST 2004
The latest package of SUNDAILS (SUite of Nonlinear and
DIfferential/ALgebraic equation Solvers) have just been released (BSD
license). Would it make sense to integrate this in SciPy? If not, why
not? (The major reason I'm still using Matlab is easy to use ode
-------- Forwarded Message --------
From: Radu Serban <serban1 at llnl.gov>
To: Radu Serban <serban1 at llnl.gov>
Subject: SUNDIALS 2.0 released
Date: Thu, 09 Dec 2004 13:30:38 -0800
SUNDIALS (SUite of Nonlinear and DIfferential/ALgebraic equation Solvers)
version 2.0 has been released under an open source BSD license.
SUNDIALS 2.0 consists of the following four solvers:
CVODE v.2.2.0 solves initial value problems for ordinary differential
equation (ODE) systems.
CVODES v.2.1.0 solves ODE systems and includes sensitivity analysis
capabilities (both forward and adjoint).
IDA v.2.2.0 solves initial value problems for differential-algebraic
equation (DAE) systems.
KINSOL v.2.2.0 solves nonlinear algebraic systems.
SUNDIALS was implemented with the goal of providing robust time integrators
and nonlinear solvers that can easily be incorporated into existing simulation
codes. Basic operations on vectors are isolated to a separate module,
for which the distributed package includes serial and parallel versions,
but the user can supply his/her own version.
The SUNDIALS solvers are written in ANSI C, with CVODE and KINSOL also
providing a FORTRAN to C interface. All solvers can be built in single,
double, or extended precision.
More information (description, documentation, changes in the current versions)
and download links can be found on the updated SUNDIALS web page:
-- Radu Serban for the SUNDIALS team
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