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A mathematical model and numerical solution for brain tumor derived using fractional operator

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TLDR
In this paper, a mathematical model of brain tumor growth and diffusion is presented, which is an extension of a simple two-dimensional mathematical model derived from fractional operator in terms of Caputo which is called the fractional Burgess equations (FBEs).
Abstract
In this paper, we present a mathematical model of brain tumor. This model is an extension of a simple two-dimensional mathematical model of glioma growth and diffusion which is derived from fractional operator in terms of Caputo which is called the fractional Burgess equations (FBEs). To obtain a solution for this model, a numerical technique is presented which is based on operational matrix. First, we assume the solution of the problem under the study is as an expansion of the Bernoulli polynomials. Then with combination of the operational matrix based on the Bernoulli polynomials and collocation method, the problem under the study is changed to a system of nonlinear algebraic equations. Finally, the proposed technique is simulated and tested on three types of the FBEs to confirm the superiority and accuracy.

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Journal ArticleDOI

Numerical Study of a Nonlinear High Order Boundary Value Problems Using Genocchi Collocation Technique

TL;DR: The present work aims to investigate the approximate solution to a general form of higher-order boundary value problem of both linear and nonlinear types using a novel Genocchi polynomial-based method and a matrix collocation-based technique.
Journal ArticleDOI

Numerical investigation of treated brain glioma model using a two-stage successive over-relaxation method

TL;DR: In this paper , a two-stage successive over-relaxation (TSSOR) algorithm based on the finite difference approximation was proposed to predict glioma cells in treating the brain tumor.
References
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Book

Theory and Applications of Fractional Differential Equations

TL;DR: In this article, the authors present a method for solving Fractional Differential Equations (DFE) using Integral Transform Methods for Explicit Solutions to FractionAL Differentially Equations.
Journal ArticleDOI

New Fractional Derivatives with Nonlocal and Non-Singular Kernel: Theory and Application to Heat Transfer Model

TL;DR: In this article, a new fractional derivative with non-local and no-singular kernel was proposed and applied to solve the fractional heat transfer model, and some useful properties of the new derivative were presented.

A new Definition of Fractional Derivative without Singular Kernel

TL;DR: In this article, the authors present a new definition of fractional derivative with a smooth kernel, which takes on two different representations for the temporal and spatial variable, for which it is more convenient to work with the Fourier transform.
Posted Content

New Fractional Derivatives with Nonlocal and Non-Singular Kernel: Theory and Application to Heat Transfer Model

TL;DR: In this paper, a new fractional derivative with non-local and no-singular kernel was proposed and applied to solve the fractional heat transfer model, and some useful properties of the new derivative were presented.
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