Dual Forecasting Algorithm for Technological Structural Matrices in Dynamic Input-Output Models

被引：0

作者：

P. I. Safonov

机构：

[1] St. Cloud State University,

来源：

Automation and Remote Control | 2019年 / 80卷

关键词：

input-output (intersectoral balance) model; direct costs (structural) matrix; balanced prediction; quadratic programming; decomposition; Krotov’s dual optimal control method;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Based on the global Krotov successive improvement method, we propose a dual computational algorithm for a discrete optimal control problem corresponding to a convex large-scale quadratic programming problem with a separable functional that arises in the prediction of the direct costs (structural) matrix in dynamic input-output models. With decomposition, we are able to use a special form of the constraint matrix to reduce the problem dimension.

引用

页码：1455 / 1470

页数：15

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