外聚集牛顿法求解非线性方程及其应用

Marija Paunović, Dejan Ćebić, N. Ralević
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引用次数: 0

摘要

各种修正牛顿方法被广泛应用于现代计算工程科学、应用力学、经济学、优化问题等学科。另一方面,信息聚合在许多以知识为基础的系统中占有重要地位,在这些系统中需要对数据或值进行聚合。本文从理论上分析了基于聚集函数的牛顿法的一种新的修正方法在求非线性方程复根中的应用,并通过单根和复根实例对理论结果进行了数值验证。文中对所提出的方法进行了数值分析,并结合实例进行了讨论。
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The external aggregation Newton's method for solving nonlinear equations and applications
Different modified Newton’s methods are widely used in modern computational engineering science, applied mechanics, economics, optimization problems and other disciplines. On the other hand aggregation of information takes a significant place in many knowledge-based systems, where aggregation of data or values is needed. In this paper we theoretically analysed a new modification of Newton’s method based on aggregation function applied on finding multiple roots of nonlinear equations, and numerically verified theoretical results on the examples with simple and multiple roots. Numerical analysis of the proposed approach with obtained results and the related discussion are presented on examples in practice.
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