Newton-like Methods for Vector-valued Optimization Problems
首发时间:2014-10-28
Abstract:In this paper, we propose a unify Newton-like method and its variant for vector-valued optimization in the context of Euclidean spaces, with respect to the partial orders induced by a pointed, closed and convex cone with a nonempty interior. Under suitable hypotheses, both partial and full convergence results are established.
keywords: Vector optimization Newton-like method Convergence Scalarization
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向量值优化问题的一类Newton型方法
摘要:本文在由具有非空内部的点闭凸锥赋予的偏序欧氏空间框架下,针对向量值优化问题提出一个统一的Newton型方法及其变形。在适当的假设下,证明了算法的收敛性。
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No.4614477905996141****
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向量值优化问题的一类Newton型方法
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