Symbolic Iterative Solution of Boundary Value Problems for Partial Differential Equations
Hamid Semiyari

TL;DR
This paper presents a symbolic iterative method combining Picard iteration and auxiliary variables for solving boundary value problems of partial differential equations, emphasizing simplicity, efficiency, and high accuracy.
Contribution
The paper introduces a novel symbolic iterative approach that simplifies and enhances the accuracy of solving PDE boundary value problems.
Findings
Method is easy to implement and computationally efficient
Produces highly accurate approximate solutions
Effective for a range of PDE boundary value problems
Abstract
In this article we introduce a simple straightforward and powerful method involving symbolic manipulation, Picard iteration, and auxiliary variables for approximating solutions of partial differential boundary value problems. The method is easy to implement, computationally efficient, and it is highly accurate. The output of the method is a function that approximates the exact solution.
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Taxonomy
TopicsNumerical methods for differential equations · Model Reduction and Neural Networks · Matrix Theory and Algorithms
