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Kai Diethelm

Researcher at Braunschweig University of Technology

Publications -  76
Citations -  12337

Kai Diethelm is an academic researcher from Braunschweig University of Technology. The author has contributed to research in topics: Fractional calculus & Cauchy principal value. The author has an hindex of 27, co-authored 70 publications receiving 10826 citations. Previous affiliations of Kai Diethelm include University of Hildesheim.

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Journal ArticleDOI

Analysis of Fractional Differential Equations

TL;DR: In this paper, the authors discuss existence, uniqueness, and structural stability of solutions of nonlinear differential equations of fractional order, and investigate the dependence of the solution on the order of the differential equation and on the initial condition.
Book

The Analysis of Fractional Differential Equations: An Application-Oriented Exposition Using Differential Operators of Caputo Type

Kai Diethelm
TL;DR: In this paper, the existence and uniqueness results for Riemann-Liouville Fractional Differential Equations are presented. But they do not cover the special cases of fractional calculus.
Book

A Predictor-Corrector Approach for the Numerical Solution of Fractional Differential Equations

TL;DR: In this paper, an Adams-type predictor-corrector method for the numerical solution of fractional differential equations is discussed, which may be used both for linear and nonlinear problems, and it may be extended tomulti-term equations (involving more than one differential operator) too.
Journal ArticleDOI

Detailed error analysis for a fractional Adams method

TL;DR: The numerical method can be seen as a generalization of the classical one-step Adams–Bashforth–Moulton scheme for first-order equations and a detailed error analysis is given.
Journal ArticleDOI

Algorithms for the fractional calculus: A selection of numerical methods

TL;DR: In this article, a collection of numerical algorithms for the solution of various problems arising in fractional models is presented, which will give the engineer the necessary tools required to work with fractional model in an efficient way.