YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • ASME
    • Journal of Computational and Nonlinear Dynamics
    • View Item
    •   YE&T Library
    • ASME
    • Journal of Computational and Nonlinear Dynamics
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    Exponentially Accurate Rayleigh–Ritz Method for Fractional Variational Problems

    Source: Journal of Computational and Nonlinear Dynamics:;2015:;volume( 010 ):;issue: 005::page 51009
    Author:
    Mao, Zhi
    ,
    Xiao, Aiguo
    ,
    Wang, Dongling
    ,
    Yu, Zuguo
    ,
    Shi, Long
    DOI: 10.1115/1.4028581
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A high accurate Rayleigh–Ritz method is developed for solving fractional variational problems (FVPs). The Jacobi polyfractonomials proposed by Zayernouri and Karniadakis (2013, “Fractional Sturm–Liouville EigenProblems: Theory and Numerical Approximation,â€‌ J. Comput. Phys., 252(1), pp. 495–517.) are chosen as basis functions to approximate the true solutions, and the Rayleigh–Ritz technique is used to reduce FVPs to a system of algebraic equations. This method leads to exponential decay of the errors, which is superior to the existing methods in the literature. The fractional variational errors are discussed. Numerical examples are given to illustrate the exponential convergence of the method.
    • Download: (733.8Kb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Statistics

      Exponentially Accurate Rayleigh–Ritz Method for Fractional Variational Problems

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/157320
    Collections
    • Journal of Computational and Nonlinear Dynamics

    Show full item record

    contributor authorMao, Zhi
    contributor authorXiao, Aiguo
    contributor authorWang, Dongling
    contributor authorYu, Zuguo
    contributor authorShi, Long
    date accessioned2017-05-09T01:15:51Z
    date available2017-05-09T01:15:51Z
    date issued2015
    identifier issn1555-1415
    identifier othercnd_010_05_051009.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/157320
    description abstractA high accurate Rayleigh–Ritz method is developed for solving fractional variational problems (FVPs). The Jacobi polyfractonomials proposed by Zayernouri and Karniadakis (2013, “Fractional Sturm–Liouville EigenProblems: Theory and Numerical Approximation,â€‌ J. Comput. Phys., 252(1), pp. 495–517.) are chosen as basis functions to approximate the true solutions, and the Rayleigh–Ritz technique is used to reduce FVPs to a system of algebraic equations. This method leads to exponential decay of the errors, which is superior to the existing methods in the literature. The fractional variational errors are discussed. Numerical examples are given to illustrate the exponential convergence of the method.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleExponentially Accurate Rayleigh–Ritz Method for Fractional Variational Problems
    typeJournal Paper
    journal volume10
    journal issue5
    journal titleJournal of Computational and Nonlinear Dynamics
    identifier doi10.1115/1.4028581
    journal fristpage51009
    journal lastpage51009
    identifier eissn1555-1423
    treeJournal of Computational and Nonlinear Dynamics:;2015:;volume( 010 ):;issue: 005
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian