Applications of the Global Optimization Toolbox - Maple Application Center
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Applications of the Global Optimization Toolbox

Author
: Maplesoft AuthorMaplesoft
Engineering software solutions from Maplesoft
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The algorithms in the Optimization package that comes with base Maple 9.5 are local search methods. Local search methods use first and second derivatives to find a local extremum, iteratively producing points that improve the objective function while maintaining or approaching feasibility. The algorithms in the Global Optimization Toolbox are global search methods. Instead of using derivatives to find a local extremum, they systematically search the entire feasible region for a global extremum. Global search methods find a global extremum in optimization models that have many local extrema, and they do not rely on an initial point.

Application Details

Publish Date: November 01, 2004
Created In: Maple 9.5
Language: English

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