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  4. An Adaptive Univariate Global Optimizati ...

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An Adaptive Univariate Global Optimization Algorithm and Its Convergence Rate under the Wiener Measure
Volume 22, Issue 4 (2011), pp. 471–488
James Calvin  

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https://doi.org/10.15388/Informatica.2011.337
Pub. online: 1 January 2011      Type: Research Article     

Received
1 May 2011
Accepted
1 October 2011
Published
1 January 2011

Abstract

We describe an adaptive algorithm for approximating the global minimum of a continuous univariate function. The convergence rate of the error is studied for the case of a random objective function distributed according to the Wiener measure.

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Keywords
optimization statistical models convergence

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INFORMATICA

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