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.
|Original language||English (US)|
|Number of pages||18|
|State||Published - Dec 1 2011|
All Science Journal Classification (ASJC) codes
- Information Systems
- Applied Mathematics