Information processing device, calculation method, program, and recording medium
    2.
    发明专利
    Information processing device, calculation method, program, and recording medium 有权
    信息处理设备,计算方法,程序和记录介质

    公开(公告)号:JP2012220819A

    公开(公告)日:2012-11-12

    申请号:JP2011088093

    申请日:2011-04-12

    Abstract: PROBLEM TO BE SOLVED: To generate a uniformly distributed discrete pattern.SOLUTION: An information processing device 100, for calculating a spatial arrangement of plural elements of a discrete pattern formed by the elements spatially discretely arranged, calculates, for each element, a density at initial positions respectively given to the individual elements on the basis of density distribution of the elements within a region where the elements of the discrete pattern are arranged, to set a diagram having a size in accordance with the density and representing a region in which the individual elements reject others and the moving range of the diagram at the initial positions of the individual elements, and minimizes a target function to give a penalty to a mutual collision of diagrams and protrusion of a diagram from the moving range, using the respective positions of the individual diagrams as decision variables to calculate the optimum solution of the respective positions of the individual diagrams and output the resultant optimum solution of the respective positions of the individual diagrams as the spatial positions of the elements.

    Abstract translation: 要解决的问题:产生均匀分布的离散模式。 解决方案:一种信息处理装置100,用于计算由空间上离散布置的元素形成的离散图案的多个元素的空间排列,对于每个元素,计算分别给予各个元素的初始位置处的密度 设置离散图案的元素的区域内的元素的密度分布的基础,以设置具有根据密度的尺寸的图并且表示各个元素拒绝其他区域的区域和图的移动范围 在单个元素的初始位置处,并且使目标函数最小化以给图表的相互碰撞和图形从移动范围突出的惩罚,使用各个图的各个位置作为决策变量来计算最优解 各个图的相应位置,并输出所得到的最佳解 单个图表的位置作为元素的空间位置。 版权所有(C)2013,JPO&INPIT

    Efficient evaluation of network robustness with a graph

    公开(公告)号:GB2517874A

    公开(公告)日:2015-03-04

    申请号:GB201500008

    申请日:2013-04-29

    Applicant: IBM

    Abstract: Likely disconnections or system-level-impact producing slowdown in a flow parameter in a network can be identified by annotating a graph representing the network with a weight to edges of a graph representing the network. The weight can be linearly or non-linearly proportional to the inverse of the severity of the impact, and/or linearly or non-linearly proportional to the inverse of the likelihood of disconnection. Minimal cut sets needed to generate a disconnection in the network are identified from the annotated network based on the weights on the edges. Subsets of each minimal cut set are generated and evaluated during a simulation. The subsets can correspond to almost isolated scenarios for the network. The scope of the simulations can be reduced by selecting the minimal cut sets employing the weight.

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