The Way to Construct Innovative Methods for Solving Initial-Value Problem of the Volterra Integro-Differential Equation

Vagif Ibrahimov, Praveen Agarwal, Davron Aslonqulovic Juraev
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Abstract

Mathematical models for many problems in the natural sciences are often simplified to solving initial-value problems (IVPs) for the Volterra integro-differential equations (VIDE). Numerical methods of a multistep type are typically used to solve these problems. It is known that in some cases, the multi-step method (MSM) is applied to solving the IVPs of both ordinary differential equations (ODEs) and VIDE encountered in solving some problems in mathematical biology. Here, to solve such problems by combining different methods, some modifications of established methods were developed, and it was demonstrated that these methods outperform the existing ones. As is known, one of the main issues in solving the aforementioned problems is determining the reliability of calculating values using the known mathematicalstatistical models (MSMs). In this regard, some experts utilize the predictor-corrector method. Having highlighted the disadvantages of this method, the proposal is to develop an innovative approach and assess the errors that may arise when applying this method to solve various problems. Here, the IVPs for the VIDE of the first order are primarily investigated. To illustrate the benefits of the innovative methods proposed here, we discuss the use of simple numerical methods to solve some common examples.
构建解决 Volterra 积分微分方程初值问题创新方法的途径
自然科学中许多问题的数学模型通常简化为求解 Volterra 积分微分方程(VIDE)的初值问题(IVP)。通常使用多步类型的数值方法来解决这些问题。众所周知,在某些情况下,多步法(MSM)被用于求解常微分方程(ODE)和 VIDE 的 IVPs,这些 IVPs 是在求解数学生物学中的某些问题时遇到的。为了结合不同的方法解决此类问题,研究人员对已有方法进行了一些修改,并证明这些方法优于现有方法。众所周知,解决上述问题的主要问题之一是确定使用已知数学统计模型(MSM)计算数值的可靠性。在这方面,一些专家采用了预测-校正方法。在强调了这种方法的缺点之后,我们的建议是开发一种创新方法,并评估在使用这种方法解决各种问题时可能出现的误差。这里主要研究一阶 VIDE 的 IVP。为了说明这里提出的创新方法的好处,我们讨论了使用简单数值方法求解一些常见例子的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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