We propose high-order schemes for nonlinear fractional initial value problems. We split the fractional integral into a history term and a local term. We take advantage of the sum of exponentials (SOE) scheme in order to approximate the history term. We also use a low-order quadrature scheme to approximate the fractional integral appearing in the local term and then apply a spectral deferred correction (SDC) method for the approximation of the local term. The resulting one-step time-stepping methods have high orders of convergence, which make adaptive implementation and accuracy control relatively simple. We prove the convergence and stability of the proposed schemes. Finally, we provide numerical examples to demonstrate the high-order conve...
The final publication is available at Springer via http://dx.doi.org/10.1007/s10543-013-0443-3In thi...
In this dissertation, we consider numerical methods for solving fractional differential equations wi...
AbstractIn this article, we implement relatively new analytical techniques, the variational iteratio...
In this paper, we consider the nonlinear fractional-order ordinary differential equation (0)D(t)(alp...
The nonlocal nature of the fractional derivative makes the numerical treatment of fractional differe...
An accurate and efficient new class of predictor-corrector schemes are proposed for solving nonlinea...
High-order adaptive methods for fractional differential equations are proposed. The methods rely on ...
We propose second-order implicit-explicit (IMEX) time-stepping schemes for nonlinear fractional diff...
Although there have existed some numerical algorithms for the fractional differential equations, dev...
We consider numerical solutions of nonlinear multiterm fractional integrodifferential equations, whe...
The numerical approximation of linear multiterm fractional differential equations is investigated. C...
In this paper, we first introduce an alternative proof of the error estimates of the numerical metho...
This thesis explores higher order numerical methods for solving fractional differential equations
Fractional order partial differential equations, as generalization of classical integer order partia...
In this paper, the shifted Jacobi spectral-Galerkin method is introduced to deal with fractional ord...
The final publication is available at Springer via http://dx.doi.org/10.1007/s10543-013-0443-3In thi...
In this dissertation, we consider numerical methods for solving fractional differential equations wi...
AbstractIn this article, we implement relatively new analytical techniques, the variational iteratio...
In this paper, we consider the nonlinear fractional-order ordinary differential equation (0)D(t)(alp...
The nonlocal nature of the fractional derivative makes the numerical treatment of fractional differe...
An accurate and efficient new class of predictor-corrector schemes are proposed for solving nonlinea...
High-order adaptive methods for fractional differential equations are proposed. The methods rely on ...
We propose second-order implicit-explicit (IMEX) time-stepping schemes for nonlinear fractional diff...
Although there have existed some numerical algorithms for the fractional differential equations, dev...
We consider numerical solutions of nonlinear multiterm fractional integrodifferential equations, whe...
The numerical approximation of linear multiterm fractional differential equations is investigated. C...
In this paper, we first introduce an alternative proof of the error estimates of the numerical metho...
This thesis explores higher order numerical methods for solving fractional differential equations
Fractional order partial differential equations, as generalization of classical integer order partia...
In this paper, the shifted Jacobi spectral-Galerkin method is introduced to deal with fractional ord...
The final publication is available at Springer via http://dx.doi.org/10.1007/s10543-013-0443-3In thi...
In this dissertation, we consider numerical methods for solving fractional differential equations wi...
AbstractIn this article, we implement relatively new analytical techniques, the variational iteratio...