Generalized analysis of methods for solving systems of nonlinear equations with point and interval coefficients

IF 1.7 3区 数学 Q2 MATHEMATICS, APPLIED
Alimzhan Ibragimov
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引用次数: 0

Abstract

In this article we consider problems of interval estimation of a set of solutions to point and interval (partially interval) systems of nonlinear equations. Most developed interval methods are intended only for estimating solutions of point nonlinear systems in some given interval box. And methods for estimating solution sets of nonlinear interval systems are not yet very developed, since the solution sets of such systems geometrically represent a rather complex structure. Here we conducted a general analysis on existing classical interval methods to test their applicability for interval systems. In this case, we chose the methods of Newton and Krawczyk. The results of the analysis show that these and similar other iterative methods are generally not applicable for interval systems due to the limited admissible area. Based on the results of the analysis, a new combined vertex method for outer estimation of solution sets of interval nonlinear systems is proposed, which includes these classical interval methods. Numerical experiments have shown that the proposed method is more efficient and gives more accurate estimates in feasible regions than the direct application of Newton, Krawczyk or Hansen-Sengupta interval methods for interval systems.

Abstract Image

点系数和区间系数非线性方程组求解方法的广义分析
在本文中,我们考虑的是点非线性方程组和区间(部分区间)非线性方程组解集的区间估计问题。大多数已开发的区间方法仅用于估计给定区间内的点非线性系统解。而用于估计非线性区间系统解集的方法还不是很成熟,因为这类系统的解集在几何上表现出相当复杂的结构。在此,我们对现有的经典区间方法进行了总体分析,以检验它们对区间系统的适用性。在这种情况下,我们选择了牛顿和 Krawczyk 的方法。分析结果表明,由于可容许区域有限,这些方法和其他类似的迭代方法一般不适用于区间系统。根据分析结果,我们提出了一种新的用于区间非线性系统解集外估计的组合顶点方法,其中包括这些经典的区间方法。数值实验表明,与直接将牛顿、Krawczyk 或 Hansen-Sengupta 区间法用于区间系统相比,所提出的方法更有效,在可行区域内给出的估计值也更精确。
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来源期刊
Numerical Algorithms
Numerical Algorithms 数学-应用数学
CiteScore
4.00
自引率
9.50%
发文量
201
审稿时长
9 months
期刊介绍: The journal Numerical Algorithms is devoted to numerical algorithms. It publishes original and review papers on all the aspects of numerical algorithms: new algorithms, theoretical results, implementation, numerical stability, complexity, parallel computing, subroutines, and applications. Papers on computer algebra related to obtaining numerical results will also be considered. It is intended to publish only high quality papers containing material not published elsewhere.
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