Global Optimization Toolbox
Formulate your optimization model easily inside the powerful Maple numeric and symbolic system, and then use world-class Maple numeric solvers to return the best answer, fast!
Key Features
Incorporates the following solver modules for nonlinear optimization problems.
- Differential Evolution Algorithm
- Adaptive Stochastic Search Methods
- Global solution further refined using the local optimization solvers in Maple
Solves models with thousands of variables and constraints.
Solvers take advantage of Maple arbitrary precision capabilities in their calculations, to greatly reduce numerical instability problems.
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.
Interactive Maplet™ assistant for easy problem definition and exploration.
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.
Application Areas
Global optimization problems are prevalent in systems described by highly nonlinear models. These areas include:
Advanced engineering design
Econometrics and finance
Management science
Medical research and biotechnology
Chemical and process industries
Industrial engineering
Scientific modeling
For more details, visit the Global Optimization website.
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