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TIGER uses a custom Matlab class CMPI Commonn Mathematical Programming Interface) to create and solve mathematical programming problems.
Following an incremental-complexity approach, several mathematical programming problems are proposed with focus on different network performance metrics.
The PGS algorithm is able to quickly and efficiently solve both symmetric and asymmetric mathematical programming problems.
Both of the above design problems are formulated as non-linear mathematical programming problems that are solved using the method of moving asymptotes.
It is relatively well-known how classical plasticity models can be described using an energy approach, and lead to mathematical programming problems.
In particular, optimal control problems are viewed and solved as mathematical programming problems by optimizing an objective function over a feasible region defined by constraints.
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The mathematical programming problem is solved with the GAMS software.
The mathematical programming problem is solved with GAMS software.
The formulation is cast as a mathematical programming problem, involving so-called "complementarity" constraints.
For this process, the differential equation problem will be changed to a mathematical programming problem.
In this way, the differential equation problem becomes a mathematical programming problem.
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