Analytical Approximate Methods For Fractional Differential Equations | Fractional calculus can be treated as generalization of conventional calculus

Arif M. Khan (u. a.)

ISBN 10: 6206843645 / ISBN 13: 9786206843641

Published by LAP LAMBERT Academic Publishing, 2023

About this Item

Analytical Approximate Methods For Fractional Differential Equations | Fractional calculus can be treated as generalization of conventional calculus | Arif M. Khan (u. a.) | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786206843641 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 128081696

Bibliographic Details

• Title: Analytical Approximate Methods For Fractional Differential Equations | Fractional calculus can be treated as generalization of conventional calculus
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2023
• Language: English
• ISBN 10: 6206843645
• ISBN 13: 9786206843641
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 5D millimeters 220 millimeters width by 150 millimeters height by 5 millimeters depth
• Weight: 137 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Fractional calculus can be treated as generalization of conventional calculus in the sense that it extends the concept of the derivatives and integrals to include arbitrary orders. Effective mathematical modelling by fractional order differential equation requires the development of reliable and flexible numerical methods. In this book we demonstrate the numerical efficiency of the proposed HPNT analytic approximate technique through error analysis and we carried out the comparison of HPNT with other numerical methods and to apply proposed methods to obtain an approximate analytical solution of time fractional Rosenau-Hyman equation arising in mathematical modelling for formation of pattern in liquid drops and results obtained via fractional reduced differential transform method (FRDTM) and are compared through error analysis and graphical methods with VIM and HPM.