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An Adaptive Univariate Global Optimization Algorithm and Its Convergence Rate for Twice Continuously Differentiable Functions
Authors:James M Calvin  Yvonne Chen  Antanas ?ilinskas
Institution:1. Department of Computer Science, New Jersey Institute of Technology, Newark, NJ, 07102-1982, USA
2. Institute of Mathematics and Informatics, Vilnius University, Akademijos str. 4, Vilnius, LT2600, Lithuania
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 twice continuously differentiable function.
Keywords:
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