An Adaptive Univariate Global Optimization Algorithm and Its Convergence Rate for Twice Continuously Differentiable Functions

James M. Calvin (), Yvonne Chen () and Antanas Žilinskas ()
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James M. Calvin: New Jersey Institute of Technology
Yvonne Chen: New Jersey Institute of Technology
Antanas Žilinskas: Vilnius University

Journal of Optimization Theory and Applications, 2012, vol. 155, issue 2, No 15, 628-636

Abstract: 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: Optimization; Statistical models; Convergence (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (5)

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DOI: 10.1007/s10957-012-0060-3

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