About One Sweep Algorithm for Solving Linear-Quadratic Optimization Problem with Unseparated Two-Point Boundary Conditions

F. Aliev, M. Mutallimov, I. A. Maharramov, N. Huseynova, L. I. Amirova
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Abstract

In the paper a linear-quadratic optimization problem (LCTOR) with unseparated two-point boundary conditions is considered. To solve this problem is proposed a new sweep algorithm which increases doubles the dimension of the original system. In contrast to the well-known methods, here it refuses to solve linear matrix and nonlinear Riccati equations, since the solution of such multi-point optimization problems encounters serious difficulties in passing through nodal points. The results are illustrated with a specific numerical example.
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求解不分离两点边界条件线性二次优化问题的一遍扫描算法
研究了具有不分离两点边界条件的线性二次优化问题。为了解决这一问题,提出了一种新的扫描算法,将原系统的维数增加一倍。与众所周知的方法不同,这里拒绝求解线性矩阵和非线性Riccati方程,因为这类多点优化问题的求解在通过节点时会遇到严重的困难。通过具体的数值算例说明了结果。
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Communications in Mathematical Analysis
Communications in Mathematical Analysis Mathematics-Applied Mathematics
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