An optimization method for solving a general class of the inverse system of nonlinear fractional order PDEs

Abstract

In this paper, we introduce a general class of the inverse system of nonlinear fractional order partial differential equations (GCISNF-PDEs) with initial-boundary and two overdetermination conditions. An optimization method is considered based on the generalized shifted Legendre polynomials (GSLPs) for solving GCISNV-FPDEs. The concept of the fractional order derivatives (F-Ds) is utilized in the Caputo type. Operational matrices (OMs) of classical derivatives and F-Ds of GSLPs are extracted. Making use of GSLPs, OMs, and Lagrange multipliers method, we reduce the given GCISNF-PDEs into an algebraic system of equations. The proposed approach achieves satisfactory results simply for a small number of the novel GSLPs. In this work, two mathematical examples are illustrated to analyse the introduced method convergence and test its validity as well as applicability.

Keywords:

• Lagrange multipliers
• generalized shifted Legendre polynomials
• operational matrix
• optimization method
• general class of the inverse system of nonlinear fractional order partial differential equations

AMS Subject Classifications:

• 41A58
• 35R11
• 49M40

Disclosure statement

No potential conflict of interest was reported by the author(s).