An algorithm for finding the global maximum of a multimodal, multivariate function
Mathematical Programming: Series A and B
Global optimization
Deterministic Global Optimization: Theory, Methods and (NONCONVEX OPTIMIZATION AND ITS APPLICATIONS Volume 37) (Nonconvex Optimization and Its Applications)
Local Optimization Method with Global Multidimensional Search
Journal of Global Optimization
Universal nonuniform random vector generator based on acceptance-rejection
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Interpolation of Lipschitz functions
Journal of Computational and Applied Mathematics
Globally optimal solutions of max---min systems
Journal of Global Optimization
Controlled Markov chains, graphs, and Hamiltonicity
Foundations and Trends® in Stochastic Systems
ICCS'03 Proceedings of the 2003 international conference on Computational science
Bounded lower subdifferentiability optimization techniques: applications
Journal of Global Optimization
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The cutting angle method for global optimization was proposed in 1999 by Andramonov et al. (Appl. Math. Lett. 12 (1999) 95). Computer implementation of the resulting algorithm indicates that running time could be improved with appropriate modifications to the underlying mathematical description. In this article, we describe the initial algorithm and introduce a new one which we prove is significantly faster at each stage. Results of numerical experiments performed on a Pentium III 750 Mhz processor are presented.