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A Conditional Gaussian Martingale Algorithm for Global Optimization

2006
A new stochastic algorithm for determination of a global minimum of a real valued continuous function defined on K, a compact set of ℝn, having an unique global minimizer in K is introduced and studied, a context discussion is presented and implementations are used to compare the performance of the algorithm with other algorithms.
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A new condition for global optimality in optimal control theory

1981 20th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes, 1981
We consider how a well-known sufficient condition for global optimality, expressed in terms of a continuously differentiable function ? satisfying a certain partial differential inequality, may be modified to broaden its applicability. We present a new condition in which ? is permitted to be Lipschitz continuous.
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Global Optimality Conditions And The Darboux Point.

1974
PhD ; Aerospace materials ; University of Michigan, Horace H. Rackham School of Graduate Studies ; http://deepblue.lib.umich.edu/bitstream/2027.42/191121/2/7510232 ...
openaire   +2 more sources

Non-convex quadratic minimization problems with quadratic constraints: global optimality conditions

Mathematical Programming, 2006
V Jeyakumar, A M Rubinov, Jeyakumar V
exaly  

Optimality conditions for global optimization (II)

Acta Mathematicae Applicatae Sinica, 1985
Zheng Quan
exaly  

True global optimality of the pressure vessel design problem: a benchmark for bio-inspired optimisation algorithms

International Journal of Bio-Inspired Computation, 2013
Xin-She Yang   +2 more
exaly  

Using copositivity for global optimality criteria in concave quadratic programming problems

Mathematical Programming, 1993
Immanuel M Bomze, Bomze Immanuel M
exaly  

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