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modeling language for optimization problems

On Mon, 3 Oct 2005, Huntsinger, Reid wrote:

            
NUOPT is not just about LP: the subject was `language for optimization'.
Its manual says

`NUOPT is a collection of powerful optimization methods, including:

- primal-dual interior point method with higher order correction for 
Linear Programming (LP) models.

- simplex method for Linear Programming (LP) and mixed integer programming 
(MILP) models.

- primal-dual interior point method based on line search for general 
Convex Programming (CP) models including convex Quadratic Programming 
(CQP) models.

- primal-dual interior point method based on trust region method for 
general Non-Linear Programming (NLP) models.

- primal-dual interior point method based on quasi-Newton method for 
general Non-Linear Programming (NLP) models.

- active set method for convex Quadratic Programming (CQP) models and 
mixed integer Quadratic Programming(MIQP) models.'

In any case, I don't see GLPK as a `language' and other LP solvers are 
available in R.