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首页> 外文期刊>Kybernetes: The International Journal of Systems & Cybernetics >Numerical expansion methods for solving Fredholm-Volterra type linear integral equations by interpolation and quadrature rules
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Numerical expansion methods for solving Fredholm-Volterra type linear integral equations by interpolation and quadrature rules

机译:插值和正交规则求解Fredholm-Volterra型线性积分方程的数值展开方法

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摘要

Purpose - This paper sets out to introduce a numerical method to obtain solutions of Fredholm-Volterra type linear integral equations. Design/methodology/approach - The flow of the paper uses well-known formulations, which are referenced at the end, and tries to construct a new approach for the numerical solutions of Fredholm-Volterra type linear equations. Findings - The approach and obtained method exhibit consummate efficiency in the numerical approximation to the solution. This fact is illustrated by means of examples and results are provided in tabular formats. Research limitations/implications - Although the method is suitable for linear equations, it may be possible to extend the approach to nonlinear, even to singular, equations which are the future objectives. Practical implications - In many areas of mathematics, mathematical physics and engineering, integral equations arise and most of these equations are only solvable in terms of numerical methods. It is believed that the method is applicable to many problems in these areas such as loads in elastic plates, contact problems of two surfaces, and similar. Originality/value - The paper is original in its contents, extends the available work on numerical methods in the solution of certain problems, and will prove useful in real-life problems.
机译:目的-本文着手介绍一种数值方法来获得Fredholm-Volterra型线性积分方程的解。设计/方法/方法-本文的流程使用了众所周知的公式,最后引用了这些公式,并尝试为Fredholm-Volterra型线性方程的数值解构造一种新方法。发现-该方法和所获得的方法在数值上近似于解,显示出极高的效率。通过示例说明了这一事实,并以表格格式提供了结果。研究的局限性/意义-尽管该方法适用于线性方程,但有可能将方法扩展为非线性方程,甚至扩展为将来的目标。实际意义-在数学,数学物理学和工程学的许多领域,都出现了积分方程,这些方程中的大多数只能通过数值方法求解。相信该方法可应用于这些领域中的许多问题,例如弹性板上的载荷,两个表面的接触问题等等。原创性/价值-本文的内容是原创,在解决某些问题时扩展了数值方法的可用工作,并且将在现实生活中证明有用。

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