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An iteration method to solve multiple constrained least squares problems

机译:解决多个约束最小二乘问题的迭代方法

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摘要

In this paper we propose an iteration method to solve the multiple constrained least squares matrix problem. We first transform the multiple constrained least squares matrix problems into the multiple constrained matrix optimal approximation problem, and then we use the idea of Dykstra's algorithm to derive the basic iterative pattern. We observe that we only need to solve multiple single constrained least squares matrix problems at each iteration step of the proposed algorithm. We give a numerical example to illustrate the effectiveness of the proposed method to solve the original problems. Also, we give an example to illustrate that the method proposed by Escalante and Li to solve the single constrained least squares matrix problem is not correct. (C) 2017 Published by Elsevier B.V.
机译:在本文中,我们提出了一种迭代方法来解决多个约束最小二乘矩阵问题。 我们首先将多个约束最小二乘矩阵问题转换为多约束矩阵最佳逼近问题,然后我们使用Dykstra算法的想法来导出基本迭代模式。 我们观察到,我们只需要在所提出的算法的每个迭代步骤中解决多个单个约束最小二乘矩阵问题。 我们提供了一个数字示例以说明解决原始问题的方法的有效性。 此外,我们举例说明Escalante和Li解决单个约束最小二乘矩阵问题所提出的方法不正确。 (c)2017年由Elsevier B.V发布。

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