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Methods and apparatus to determine weights for panelists in large scale problems

机译:为大规模问题中的小组成员确定权重的方法和设备

摘要

Methods and apparatus to solve for a minimum variance solution for a constrained weight problem in a scalable and memory efficient manner are disclosed. An example method of reducing memory usage of a computing device disclosed herein comprises storing a constraint matrix and a population matrix into a memory, the population matrix representing a population related to data of the constraint matrix, determining, via a processor, a linear system based on a set of constraints including the constraint matrix and the population matrix, determining, via a processor, an inverse of a matrix of the linear system, the determination of the inverse including breaking down the matrix into blocks, the dimensions of the blocks being no larger than dimensions of the constraint matrix, and outputting a set of weights based on the inverse of the linear system, the set of weights satisfying the set of constraints.
机译:公开了以可扩展且存储器有效的方式来求解约束重量问题的最小方差解的方法和装置。减少本文公开的计算设备的存储器使用的示例方法包括:将约束矩阵和总体矩阵存储到存储器中,该总体矩阵表示与该约束矩阵的数据有关的总体,经由处理器确定基于线性系统的线性系统。在包括约束矩阵和总体矩阵的一组约束上,通过处理器确定线性系统矩阵的逆,对逆的确定包括将矩阵分解为块,块的尺寸为大于约束矩阵的维数,并基于线性系统的逆输出一组权重,该组权重满足该组约束。

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