Solutions and optimality criteria for nonconvex quadratic-exponential minimization problem

被引:0
|
作者
David Yang Gao
Ning Ruan
机构
[1] Virginia Polytechnic Institute and State University,Department of Mathematics
[2] University of Shanghai for Science and Technology,School of Management
关键词
Duality theory; Nonconvex programming; Global optimization; Quadratic-exponential function; Nonlinear algebraic equation; Triality;
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学科分类号
摘要
This paper presents a set of complete solutions and optimality conditions for a nonconvex quadratic-exponential optimization problem. By using the canonical duality theory developed by the first author, the nonconvex primal problem in n-dimensional space can be converted into an one-dimensional canonical dual problem with zero duality gap, which can be solved easily to obtain all dual solutions. Each dual solution leads to a primal solution. Both global and local extremality conditions of these primal solutions can be identified by the triality theory associated with the canonical duality theory. Several examples are illustrated.
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页码:479 / 491
页数:12
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