Results 161 to 170 of about 39,060 (206)
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Global Optimality Conditions for Nonconvex Optimization
Journal of Global Optimization, 1998zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Global Optimality Conditions in Nonconvex Optimization
Journal of Optimization Theory and Applications, 2017zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Nonconvex Duality in Multiobjective Optimization
Mathematics of Operations Research, 1977Nonconvex duality properties for multiobjective optimization problems are obtained by using a characterization of Pareto optima by means of generalized Tchebycheff norms. Bounds for the corresponding duality gap are given, and approximate Pareto multipliers are constructed.
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On nonconvex optimization problems with separated nonconvex variables
Journal of Global Optimization, 1992zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Nonconvex Optimal Control Problems
IFAC Proceedings Volumes, 1997Abstract We present a short survey of some recent author’s results concerning the method for solution of a class of global minimization problems. They may be nonconvex in general. The case of minimizing a quadratic functional in a Hilbert space subject to quadratic constraints is considered specially.
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Copositivity and nonconvex optimization
1992Consider a quadratic minimization problem with a concave objective function, or equivalente, the problem $$ \frac{1}{2}{x^{T}}Qx + {c^{T}}x \to \max \hfill \\ Ax \leqslant b \hfill \\ $$ (1) , where x T denotes transpose of an n × 1-vector x ∈ ℝ n ; Q is a symmetric, positive semi definite n × n-matrix; c ∈ ℝ n ; A is an m × n-matrix; and b ∈
Gabriele Danninger, Immanuel M. Bomze
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Nonlinear Lagrangian Theory for Nonconvex Optimization
Journal of Optimization Theory and Applications, 2001zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Goh, C. J., Yang, X. Q.
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Nonconvex Stochastic Optimization for Model Reduction
Journal of Global Optimization, 2002zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chen, Han-Fu, Fang, Hai-Tao
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Proximal Point Methods and Nonconvex Optimization
Journal of Global Optimization, 1998zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kaplan, A., Tichatschke, R.
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Applied Nonconvex Optimization Background
1998The problem of finding an extremum of a given function over the space where the function is defined or over a subset of it, is called an optimization problem. In mechanics several “principles” which govern physical phenomena in general and the response of mechanical systems in particular are written in the form of an optimization problem.
E. S. Mistakidis, G. E. Stavroulakis
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