Solving of Multi-Fractional Nonlinear Diffrential Equations: The Numerical Solutions of Multi-Fractional Order Nonlinear Differential Problems with Initial(Mixed Boundary)Conditions

Sameer Qasim Hasan

ISBN 10: 3659851523 / ISBN 13: 9783659851520

Published by LAP LAMBERT Academic Publishing, 2016

About this Item

108 pages. 8.66x5.91x0.25 inches. In Stock.

Seller Inventory # 3659851523

Bibliographic Details

• Title: Solving of Multi-Fractional Nonlinear Diffrential Equations: The Numerical Solutions of Multi-Fractional Order Nonlinear Differential Problems with Initial(Mixed Boundary)Conditions
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2016
• Language: English
• ISBN 10: 3659851523
• ISBN 13: 9783659851520
• Binding: Paperback
• Condition: Brand New
• Weight: 0.21 kilograms

About this title

Synopsis

This book, constancies the numerical solutions of multi-fractional order nonlinear differential problems with initial (mixed boundary) conditions which have been considered in details. The fractional operational matrices of fractional derivative β>0 have been studied and developed on types of shifted chebyshev polynomials and shifted chebyshev wavelets as well as fractional order chebyshev polynomials with order α>0 and presented the relation between these types, they are given as an operational matrices of fractional derivatives as well as, we have given two types of fractional operational matrices for fractional derivatives depended on β>0values. Also the coupled fractional orders such that one of them is originally and others are axillary order such that one a fractional operational matrix to find the best approximate solution of multi-fractional order nonlinear differential problems with mixed boundary value. The rule of the order of fractional polynomial is presented as important parameter for given exact solution and is illustrated in some examples.

About the Author

Assistant Professor Dr. Samir Qasim Hassan and Dalia Raad Abd professors at Al-Mustansiriya University College of Education - Department of Mathematics.