一个用线性规划求实有理函数最优逼近的程序

N. Papamarkos
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引用次数: 6

摘要

本文给出了一个Turbo-Basic程序,实现了用线性规划求实有理函数最优逼近的算法。线性问题的表述是基于极大极小准则的最小化,而它的解是通过对偶问题得到的。与其他近似技术相比,该算法速度更快,所需存储空间更少。该程序在IBM-PC测试机上实现,并通过实例进行了测试。通过实例分析说明了程序的使用和算法的有效性。
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A program for the optimum approximation of real rational functions via linear programming

This paper presents a Turbo-Basic program that implements an algorithm for the optimum approximation of real rational functions via linear-programming. The formulation of the linear problem is based on the minimization of a minimax criterion, while its solution is derived through the dual problem. This algorithm is much faster and requires less storage than other approximation techniques. The program is implemented on an IBM-PC AT and tested by several examples. Analytical examples are presented to illustrate how the program is used and the effectiveness of the algorithm.

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