As of version 2.6 the CVODES solver by SUNDIALS supports the sparse linear solver KLU from SuiteSparse (http://faculty.cse.tamu.edu/davis/suitesparse.html). Especially for large scale systems with sparse interactions it is important to specify this as linear solver as it will typically yield a substantial computational speedup.
I am not sure whether "algorithm characteristic" is correct. It should be treated the same as other linear solvers such as GMRES.
name: KLU ("Clark Kent" LU factorization algorithm)
type: algorithm characteristic
short description: sparse left-looking LU factorization, using a block triangular form
reference: Davis, Timothy A., and Ekanathan Palamadai Natarajan. "Algorithm 907: KLU, a direct sparse solver for circuit simulation problems." ACM Transactions on Mathematical Software (TOMS) 37.3 (2010): 36.
As of version 2.6 the CVODES solver by SUNDIALS supports the sparse linear solver KLU from SuiteSparse (http://faculty.cse.tamu.edu/davis/suitesparse.html). Especially for large scale systems with sparse interactions it is important to specify this as linear solver as it will typically yield a substantial computational speedup.
I am not sure whether "algorithm characteristic" is correct. It should be treated the same as other linear solvers such as GMRES.
name: KLU ("Clark Kent" LU factorization algorithm) type: algorithm characteristic short description: sparse left-looking LU factorization, using a block triangular form reference: Davis, Timothy A., and Ekanathan Palamadai Natarajan. "Algorithm 907: KLU, a direct sparse solver for circuit simulation problems." ACM Transactions on Mathematical Software (TOMS) 37.3 (2010): 36.
Reported by: *anonymous