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Incorporates the following solver modules for nonlinear optimization problems. |
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• Branch-and-bound global search
• Global adaptive random search
• Multi-start based global random search
• Global solution further refined by local search using the reduced gradient method |
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Solves models with thousands of variables and constraints. |
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Solvers take advantage of Maple arbitrary precision capabilities in their calculations, to greatly reduce numerical instability problems. |
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Supports arbitrary objective and constraint functions, including those defined in terms of special functions (for example, Bessel, hypergeometric), derivatives and integrals, and piecewise functions etc. Functions can also be defined in terms of a Maple procedure rather than a formula. |
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Interactive Maplet™ assistant for easy problem definition and exploration. |
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Built-in model visualization capabilities for viewing one or two-dimensional subspace projections of the objective function, with visualization of the constraints as planes or lines on the objective surface. |