Accelerations for a variety of global optimization methods
Optimization methods for a given class are easily modified to utilize additional information and work faster on a more restricted class. In particular algorithms that use only the Lipschitz constant (e.g. Mladineo, Piyavskii, Shubert and Wood) can be modified to use second derivative bounds or gradient calculations. T he algorithm of Breiman & Cutler can be modified to use Lipschitz bounds. Test cases illustrating accelerations to various algorithms are provided.
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