Fractional differentiation and integration

The n-th order derivative or integral of a function is calculated through Fourier series expansion.
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Updated 13 Mar 2014

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% The n-th order derivative or integral of a function defined in a given
% range [a,b] is calculated through Fourier series expansion, where n is
% any real number and not necessarily integer. The necessary integrations
% are performed with the Gauss-Legendre quadrature rule. Selection for the
% number of desired Fourier coefficient pairs is made as well as for the
% number of the Gauss-Legendre integration points.
% Unlike many publicly available functions, the Gauss integration points k
% can be calculated for k>=46. The algorithm does not rely on the build-in
% Matlab routine 'roots' to determine the roots of the Legendre polynomial,
% but finds the roots by looking for the eigenvalues of an alternative
% version of the companion matrix of the k'th degree Legendre polynomial.
% The companion matrix is constructed as a symmetrical matrix, guaranteeing
% that all the eigenvalues (roots) will be real. On the contrary, the
% 'roots' function uses a general form for the companion matrix, which
% becomes unstable at higher values of k, leading to complex roots.
%
%__________________________________________________________________________
% Copyright (c) 13-Mar-2014
% George Papazafeiropoulos
% First Lieutenant, Infrastructure Engineer, Hellenic Air Force
% Civil Engineer, M.Sc., Ph.D. candidate, NTUA
% Email: gpapazafeiropoulos@yahoo.gr
% Website: http://users.ntua.gr/gpapazaf/
%
%

Cite As

George Papazafeiropoulos (2024). Fractional differentiation and integration (https://www.mathworks.com/matlabcentral/fileexchange/45877-fractional-differentiation-and-integration), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2012b
Compatible with any release
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Acknowledgements

Inspired: Fractional Derivative and Integral

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Version Published Release Notes
1.1.0.0

Amendments of figures of 'Tabular function differintegral' example

1.0.0.0