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Numerical Algorithms
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Numerical Algorithms
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A new stable collocation method for solving a class of nonlinear fractional delay differential equations

Authors: Lei Shi; Zhong Chen; Xiaohua Ding; Qiang Ma;

A new stable collocation method for solving a class of nonlinear fractional delay differential equations

Abstract

AbstractIn this paper, a stable collocation method for solving the nonlinear fractional delay differential equations is proposed by constructing a new set of multiscale orthonormal bases of$W^{1}_{2,0}$W2,01. Error estimations of approximate solutions are given and the highest convergence order can reach four in the sense of the norm of$W_{2,0}^{1}$W2,01. To overcome the nonlinear condition, we make use of Newton’s method to transform the nonlinear equation into a sequence of linear equations. For the linear equations, a rigorous theory is given for obtaining theirε-approximate solutions by solving a system of equations or searching the minimum value. Stability analysis is also obtained. Some examples are discussed to illustrate the efficiency of the proposed method.

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Keywords

nonlinear differential equations, \( \varepsilon \)-approximate solutions, Newton's iterative formula, Finite element, Rayleigh-Ritz, Galerkin and collocation methods for ordinary differential equations, fractional delay differential equations, Stability and convergence of numerical methods for ordinary differential equations, Functional-differential equations with fractional derivatives, Error bounds for numerical methods for ordinary differential equations

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Top 10%
Average
Top 10%
hybrid
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