高阶积分微分方程近似解的非二进Haar小波算法

Ratesh Kumar, Sabiha Bakhtawar
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引用次数: 0

摘要

本研究的目的是探索高阶积分微分方程的非二进Haar小波。本文介绍了用Haar小波逼近Volterra型和Fredholm型高阶积分微分方程解的非并元配置方法。积分微分方程中的最高阶导数由非并矢Haar小波的有限级数逼近,然后通过积分过程计算低阶导数。利用配置方法将积分微分方程简化为一组线性代数方程。然后使用高斯-乔丹方法来求解得到的方程组。为了证明该方法的有效性和准确性,给出了大量的实例。此外,还将所提出的小波技术产生的近似解与其他方法的近似解进行了比较。精确解也与近似解进行了比较,并通过表格和图表给出。对于不同数量的搭配点,计算出不同的误差。结果证明了Haar方法在求解这些方程方面的有效性。
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Non-dyadic Haar Wavelet Algorithm for the Approximated Solution of Higher order Integro-Differential Equations
The objective of this study is to explore non-dyadic Haar wavelets for higher order integro-differential equations. In this research article, non-dyadic collocation method is introduced by using Haar wavelet for approximating the solution of higher order integrodifferential equations of Volterra and Fredholm type. The highest order derivatives in the integrodifferential equations are approximated by the finite series of non-dyadic Haar wavelet and then lower order derivatives are calculated by the process of integration. The integro-differential equations are reduced to a set of linear algebraic equations using the collocation approach. The Gauss - Jordan method is then used to solve the resulting system of equations. To demonstrate the efficiency and accuracy of the proposed method, numerous illustrative examples are given. Also, the approximated solution produced by the proposed wavelet technique have been compared with those of other approaches. The exact solution is also compared to the approximated solution and presented through tables and graphs. For various numbers of collocation points, different errors are calculated. The outcomes demonstrate the effectiveness of the Haar approach in resolving these equations.
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来源期刊
CiteScore
3.80
自引率
6.20%
发文量
57
审稿时长
20 weeks
期刊介绍: IJMEMS is a peer reviewed international journal aiming on both the theoretical and practical aspects of mathematical, engineering and management sciences. The original, not-previously published, research manuscripts on topics such as the following (but not limited to) will be considered for publication: *Mathematical Sciences- applied mathematics and allied fields, operations research, mathematical statistics. *Engineering Sciences- computer science engineering, mechanical engineering, information technology engineering, civil engineering, aeronautical engineering, industrial engineering, systems engineering, reliability engineering, production engineering. *Management Sciences- engineering management, risk management, business models, supply chain management.
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