Solvers of unconstrained optimization problems

Click on the code name in the first column to access its page and to have more information on the solver, including the description on how to get it.

N1CV2
  • convex nondifferentiable
  • subgradients available
  • bundle method
Fortran 77
DC
M1CG1
1.1c
  • large-scale convex quadratic
  • Hessian-vector products available
  • preconditioned Fletcher-Reeves conjugate gradient
  • generates a (limited memory) BFGS preconditioner
Fortran 77
DC
M1QN3
3.3
  • large-scale nonlinear
  • first derivatives available
  • line-search
  • limited memory BFGS updates
Fortran 77
DC - RC