Titlebook: Optimization and Control with Applications; Liqun Qi,Koklay Teo,Xiaoqi Yang Conference proceedings 2005 Springer-Verlag US 2005 algorithm.

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Quantum Algorithm for Continuous Global Optimizationle this additional information is actually available in some classes of GOPs, it cannot be taken advantage of within classical optimization algorithms; (iii) on the contrary, quantum algorithms offer a natural framework for the efficient use of this information, resulting in a speed-up of the solution of the GOP.

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A Comparison of Two Approaches to Second-Order Subdifferentiability Concepts with Application to Optevertheless we find that in directions at which the subject (or subhessian) is supported, in a rank-1 sense, we have these supported operators interpolating the contingent cone. Thus under a prox-regularity assumption we are able to make a selection from the contingent graphical derivative in certai

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An Implementation of Training Dual-nu Support Vector Machinesowever, the techniques used for solving the training problem of the original SVM cannot be directly applied to 2.-SVM. An iterative decomposition method for training this class of SVM is described in this chapter. The training is divided into the initialisation process and the optimisation process,

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An Analysis of the Barzilai and Borwein Gradient Method for Unsymmetric Linear Equationsteepest descent method in practical computations. Combined with the technique of nonmonotone line search etc., such a method has found successful applications in unconstrained optimization, convex constrained optimization and stochastic optimization. In this paper, we give an analysis of the Barzila