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首页> 外文期刊>Journal of Global Optimization >Convex- and Monotone-Transformable Mathematical Programming Problems and a Proximal-Like Point Method
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Convex- and Monotone-Transformable Mathematical Programming Problems and a Proximal-Like Point Method

机译:凸和单调可转换的数学规划问题和近似点方法

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摘要

The problem of finding the singularities of monotone vectors fields on Hadamard manifolds will be considered and solved by extending the well-known proximal point algorithm. For monotone vector fields the algorithm will generate a well defined sequence, and for monotone vector fields with singularities it will converge to a singularity. It will also be shown how tools of convex analysis on Riemannian manifolds can solve non-convex constrained problems in Euclidean spaces. To illustrate this remarkable fact examples will be given.
机译:通过扩展众所周知的近点算法,将考虑并解决在Hadamard流形上找到单调矢量场的奇异性的问题。对于单调矢量场,该算法将生成定义良好的序列,对于具有奇异性的单调矢量场,该算法将收敛为奇异性。还将展示黎曼流形上的凸分析工具如何解决欧氏空间中的非凸约束问题。为了说明这个非凡的事实,将给出示例。

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