Shooting Methods for Boundary Value Problems of Fractional Differential Equations

ABSTRACT We consider two‐point boundary value problems of fractional differential equations (FDEs) including a Caputo derivative with a fractional order in the range (0,1) or (1,2). The numerical solution of a boundary value problem is investigated using shooting methods. This approach yields a nonlinear system of algebraic equations for the unknown initial values of the solution that satisfies the boundary conditions. Consequently, initial value problems of FDEs have to be integrated. The nonlinear systems can be solved by methods of Newton‐type. However, these methods often fail if the problem is sensitive with respect to the starting values of the iteration and the initial guess is not sufficiently close to the true solution. Alternatively, a residual can be reduced nearly to zero using minimisation schemes. For example, differential evolution represents a stochastic population‐based optimisation method, that can be used for such a task. Furthermore, we introduce a continuation method to achieve the convergence of iterative techniques, where the fractional order represents the homotopy parameter. We present results of numerical computations for test examples of FDEs.

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Publication Details

Journal
PAMM
Published
2026-10-27
DOI
https://doi.org/10.1002/pamm.70255
Primary Topic
Fractional Differential Equations Solutions
Type
article
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article

Shooting Methods for Boundary Value Problems of Fractional Differential Equations

Abhishek Kumar Singh, Roland Pulch
PAMM
Fractional Differential Equations Solutions
article

Shooting Methods for Boundary Value Problems of Fractional Differential Equations

Abhishek Kumar Singh, Roland Pulch
article en

Abstract

ABSTRACT We consider two‐point boundary value problems of fractional differential equations (FDEs) including a Caputo derivative with a fractional order in the range (0,1) or (1,2). The numerical solution of a boundary value problem is investigated using shooting methods. This approach yields a nonlinear system of algebraic equations for the unknown initial values of the solution that satisfies the boundary conditions. Consequently, initial value problems of FDEs have to be integrated. The nonlinear systems can be solved by methods of Newton‐type. However, these methods often fail if the problem is sensitive with respect to the starting values of the iteration and the initial guess is not sufficiently close to the true solution. Alternatively, a residual can be reduced nearly to zero using minimisation schemes. For example, differential evolution represents a stochastic population‐based optimisation method, that can be used for such a task. Furthermore, we introduce a continuation method to achieve the convergence of iterative techniques, where the fractional order represents the homotopy parameter. We present results of numerical computations for test examples of FDEs.

PAMMVol. 26(4)
Universität Greifswald (DE), Indian Institute of Technology BHU (IN), Banaras Hindu University (IN)
Openalex Percentile: Top 13%
Fractional Differential Equations Solutions
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