An efficient approach for solving stiff nonlinear boundary value problems
V. L. Makarov, D. V. Dragunov

TL;DR
This paper introduces a new numerical method for efficiently solving stiff nonlinear boundary value problems, demonstrating improved stability and robustness compared to existing approaches, with validation on Troesch's problem.
Contribution
The paper presents a novel approach based on alternate approximation of the unknown function or its inverse, enhancing numerical stability for stiff problems.
Findings
Method shows increased stability on Troesch's problem
Implementation available in C++ at provided repository
Outperforms traditional methods in handling stiffness
Abstract
A new method for solving stiff boundary value problems is described and compared to other known approaches using the Troesch's problem as a test example. The method is based on the general idea of alternate approximation of either the unknown function or its inverse and has a genuine "immunity" towards numerical difficulties invoked by the rapid variation (stiffness) of the unknown solution. A c++ implementation of the proposed method is available at https://github.com/imathsoft/MathSoftDevelopment .
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Taxonomy
TopicsFractional Differential Equations Solutions · Model Reduction and Neural Networks · Numerical methods in engineering
