Powell's method-based nonlinear least-squares data fitting for the Mittag-Leffler relaxation function
发表时间:2020-01-13 点击次数:
所属单位:航空学院
发表刊物:MATHEMATICS AND MECHANICS OF SOLIDS
关键字:Mittag-Leffler function nonlinear optimization data fitting direct search method viscoelasticity
摘要:The Mittag- Leffler relaxation function, Ea( x), with 0 = a = 1, plays an important role in the fractional viscoelastic models. The Mittag- Leffler function is an infinite series whose analytic derivatives are unexplored, thus a direct search method based on Powell's method is introduced to solve the minimization problem of nonlinear least- squares data fitting for Mittag- Leffler relaxation function in this paper. A simple and effective method is provided for the determination of the initial values and an acceleration strategy is proposed for this direct search method. Numerical results show this direct search method is efficient in the parameter estimation of the Mittag- Leffler relaxation function. Furthermore, the acceleration strategy proves to be conducive to improving the computational efficiency of this direct search method.
ISSN号:1081-2865
是否译文:否
发表时间:2017-05-01
合写作者:Fang, Changqing,Gu, Jianping
通讯作者:孙慧玉
发表时间:2017-05-01