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Energetic Order for Optimization on Hierarchies of Partitions: Continuous hierarchy and Lagrange optimization

机译:分区层次结构优化的能量顺序:连续层次结构和Lagrange优化

摘要

In the current technical note we provide a topological generalization of hierarchy of partitions(HOP) structure, and the implications over the axioms of h-increasingness and scale increasingness [13]. Further in this study we will explicit the Lagrange optimization in the optimal cuts problem and the conditions necessary on the energy to obtain a global optimum using the a dynamic program. Further a general multi-constraint optimization problem is considered with multiple Lagrangian multipliers, leading to a general version of scale increasingness that orders cuts, by ordered tuples of multipliers. The report also differentiates Inf-Modularity and Submodularity and their space of application. The final demonstration on wavering hierarchies show how one can relax conditions on the hierarchical structure.
机译:在当前的技术说明中,我们提供了分区层次结构(HOP)的拓扑概括,以及对h增长和规模增长公理的暗示[13]。此外,在这项研究中,我们将在最优割问题和使用动态程序获得全局最优能量所需的条件上,明确拉格朗日优化。此外,还考虑了多个拉格朗日乘数的一般多约束优化问题,从而导致了按乘数的有序元组进行阶次削减的规模增长的一般版本。该报告还区分了信息模块化和子模块化及其应用空间。关于摇摆的层次结构的最后演示显示了人们如何放松层次结构的条件。

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