CONOPT for AMPL

A proven choice for highly nonlinear problems, CONOPT’s efficient and reliable multi-method architecture handles a broad range of models. Specialized techniques achieve feasibility quickly, while powerful preprocessing tools reduce problem size and suggest formulation improvements.

Summary

Developer: ARKI Consulting & Development A/S

Current version: 3.17A

Problem types supported: Linear, quadratic, and general smooth nonlinear objectives and constraints in continuous variables.

Algorithms available: Dynamic selection among feasible-path generalized reduced gradient, sequential quadratic programming, and sequential linear programming.

Special features: Extensions to the basic algorithms take advantage of second derivatives and identify feasible solutions more reliably.

Further information

ARKI Consulting & Development website

Guide and option listing: Using CONOPT with AMPL