In this paper the authors present highly accurate and remarkably efficient computational methods for fractional order derivatives and integrals applying Riemann-Liouville and Caputo formulae: the Gauss-Jacobi Quadrature with adopted weight function, the Double Exponential Formula, applying two arbitrary precision and exact rounding mathematical libraries (GNU GMP and GNU MPFR). Example fractional order derivatives and integrals of some elementary functions are calculated. Resulting accuracy is compared with accuracy achieved by applying widely known methods of numerical integration. Finally, presented methods are applied to solve Abel’s Integral equation (in Appendix)
This paper presents a review of definitions of fractional order derivatives and integrals that appea...
The present work is devoted to developing two numerical techniques based on fractional Bernstein pol...
We introduce an efficient algorithm for computing fractional integrals and derivatives and apply it ...
In this paper the authors present highly accurate and remarkably efficient computational methods for...
In this paper, we present a new numerical method to solve fractional differential equations. Given ...
AbstractAn automatic quadrature method is presented for approximating fractional derivative Dqf(x) o...
The increasing use of Fractional Calculus demands more accurate arid efficient methods for the numer...
AbstractWe obtain a new decomposition of the Riemann–Liouville operators of fractional integration a...
Several fractional-order operators are available and an in-depth knowledge of the selected operator ...
In this work the Monte Carlo method is introduced for numerical evaluation of fractional-order deriv...
Several fractional-order operators are available and an in-depth knowledge of the selected operator ...
This paper uses polynomial interpolation to design a novel high-order algorithm for the numerical es...
International audienceAnalogy between Abel's integral equation and the integral of fractional order ...
An automatic quadrature method is presented for approximating fractional derivative D^qf(x) of a gi...
summary:We introduce fractional-order Bessel functions (FBFs) to obtain an approximate solution for ...
This paper presents a review of definitions of fractional order derivatives and integrals that appea...
The present work is devoted to developing two numerical techniques based on fractional Bernstein pol...
We introduce an efficient algorithm for computing fractional integrals and derivatives and apply it ...
In this paper the authors present highly accurate and remarkably efficient computational methods for...
In this paper, we present a new numerical method to solve fractional differential equations. Given ...
AbstractAn automatic quadrature method is presented for approximating fractional derivative Dqf(x) o...
The increasing use of Fractional Calculus demands more accurate arid efficient methods for the numer...
AbstractWe obtain a new decomposition of the Riemann–Liouville operators of fractional integration a...
Several fractional-order operators are available and an in-depth knowledge of the selected operator ...
In this work the Monte Carlo method is introduced for numerical evaluation of fractional-order deriv...
Several fractional-order operators are available and an in-depth knowledge of the selected operator ...
This paper uses polynomial interpolation to design a novel high-order algorithm for the numerical es...
International audienceAnalogy between Abel's integral equation and the integral of fractional order ...
An automatic quadrature method is presented for approximating fractional derivative D^qf(x) of a gi...
summary:We introduce fractional-order Bessel functions (FBFs) to obtain an approximate solution for ...
This paper presents a review of definitions of fractional order derivatives and integrals that appea...
The present work is devoted to developing two numerical techniques based on fractional Bernstein pol...
We introduce an efficient algorithm for computing fractional integrals and derivatives and apply it ...