Finally, the numerical examples explain the accuracy of this method
📌 3 Key Takeaways
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Objective & Hypothesis:This work, Bernoulli wavelet method is formed to solve nonlinear fuzzy Volterra-Fredholm integral equations.
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Key Findings & Data:Bernoulli wavelets have been Created by dilation and translation of Bernoulli polynomials.
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Conclusion & Impact:Finally, the numerical examples explain the accuracy of this method
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Bernoulli polynomials · Bernoulli wavelets · Volterra-Fredholm fuzzy integral equations
Abstract
This work, Bernoulli wavelet method is formed to solve nonlinear fuzzy Volterra-Fredholm integral equations. Bernoulli wavelets have been Created by dilation and translation of Bernoulli polynomials. First we introduce properties of Bernoulli wavelets and Bernoulli polynomials, and then we used it to transform the integral equations to the system of algebraic equations. We compared the result of the proposed method with the exact solution to show the convergence and advantages of the new method. The results got by present wavelet method are compared with that of by collocation method based on radial basis functions method. Finally, the numerical examples explain the accuracy of this method
Ramadan, M. A., Ali, M. R. (2017). Application of Bernoulli wavelet method for numerical solution of fuzzy linear Volterra-Fredholm integral equations. Communication in Mathematical Modeling and Applications, Cilt: 2 Sayı: 3, 0–0. https://ajindex.com/articles/984291