Pub. online:1 Jan 2011Type:Research ArticleOpen Access
Volume 22, Issue 4 (2011), pp. 471–488
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.