Numerical solution of singularly perturbed boundary value problems by improved least squares method

This paper introduces a numerical method based on least squares method for solving singularly perturbed differential equations with two-point boundary conditions. Moreover, an intelligent algorithm is proposed to improve the method. This algorithm is essential as it finds the unknown location of the layer (boundary layer and interior layer). As part of evaluation, the convergence analysis of the method is presented. Numerical examples demonstrate the superconvergence of the intelligent algorithm and confirm the accuracy of the theory.