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Gurobi for AMPL

Gurobi’s outstanding performance has been demonstrated through leadership in public benchmark tests and dramatic improvement in solve times year after year. Built from the ground up using the latest developments & techniques, Gurobi’s extremely robust code ensures numerical stability, correctness of results, and scalability.

Summary

Gurobi

Developer: Gurobi Optimization, Inc.

Current version: 6.0

Problem types supported: Linear and convex quadratic optimization in continuous and integer variables.

Special forms detected: Convex quadratic expressions in objectives and constraints; conic quadratic constraints.

Algorithms available: For continuous problems, primal and dual simplex, interior-point (barrier); for integer problems, advanced branch-and-bound with presolve, feasibility heuristics and cut generators.

Special features: Shared-memory parallel processing for barrier, branch-and-bound. Distributed concurrent optimization and tuning to leverage multiple machines. Gurobi Compute Server for enhanced reliability and load balancing. Special facilities for infeasibility diagnosis.

Further information

Gurobi Optimization website
Gurobi for AMPL 6.0 User’s Guide including option descriptions
Gurobi-AMPL interface source code with makefiles and instructions