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GAMS is able to formulate models in many different types of problem classes. That means switching from one model type to another can be done with a minimum of effort. You can even use the same data, variables, and equations in different types of models at the same time.
GAMS supports the following basic model types:
| LP | Linear Programming |
| MIP | Mixed-Integer Programming |
| NLP | Non-Linear Programming |
| MCP | Mixed Complementarity Problems |
| MPEC | Mathematical Programs with Equilibrium Constraints |
| CNS | Constrained Nonlinear Systems |
| DNLP | Non-Linear Programming with Discontinuous Derivatives |
| MINLP | Mixed-Integer Non-Linear Programming |
| QCP | Quadratically Constrained Programs |
| MIQCP | Mixed Integer Quadratically Constrained Programs |
The Solver/Model type Matrix shows which solver is capable of which model type:
Solver/Model type availability - 23.7 July 14, 2011
| |
LP |
MIP |
NLP |
MCP |
MPEC |
CNS |
DNLP |
MINLP |
QCP |
MIQCP |
Stoch. |
Global |
ALPHAECP |
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BARON 9.3 |
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BDMLP |
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COIN-OR |
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CONOPT 3 |
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CPLEX 12.3 |
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DECIS |
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DICOPT |
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GUROBI 4.5 |
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KNITRO 7.0 |
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LINDOGLOBAL 6.1 |
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LGO |
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MILES |
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MINOS |
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MOSEK 6 |
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MPSGE |
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MSNLP |
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NLPEC |
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OQNLP |
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PATH |
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SBB |
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SCIP |
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SNOPT |
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XA |
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XPRESS 22.01 |
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Kestrel |
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Check the platform availability for each solver.