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LOQO for AMPL

LOQO is a powerful solver for smooth constrained optimization problems, based on interior-point method applied to a sequence of quadratic approximations. Subject to the requirement that the defining functions be smooth (at the points evaluated by the algorithm), LOQO can handle a range of problems: linear or nonlinear, convex or nonconvex, constrained or unconstrained. For convex problems, LOQO finds a globally optimal solution; otherwise, it iterates from the given starting point to find a locally optimal solution.

Summary

Developer: Prof. Robert Vanderbei, Princeton University

Current version: 7.03

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

Algorithms available: An infeasible-start, primal-dual interior-point method for linear and quadratic programming, with robust extensions to more general nonlinear objective and constraint functions.

Special features: Option to assert that problem is convex, for greater efficiency.

Further information

LOQO User’s Manual

LOQO for AMPL option listing