Pages that link to "Item:Q2116118"
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The following pages link to Numerical solution for the time-fractional Fokker-Planck equation via shifted Chebyshev polynomials of the fourth kind (Q2116118):
Displaying 14 items.
- A Jacobi Gauss-Lobatto and Gauss-Radau collocation algorithm for solving fractional Fokker-Planck equations (Q330795) (← links)
- Stability and convergence of an effective numerical method for the time-space fractional Fokker-Planck equation with a nonlinear source term (Q606238) (← links)
- Numerical solutions of fractional Fokker-Planck equations using iterative Laplace transform method (Q2015564) (← links)
- A comparative analysis of fractional space-time advection-dispersion equation via semi-analytical methods (Q2162874) (← links)
- Comparative study of fractional Fokker-Planck equations with various fractional derivative operators (Q2180330) (← links)
- A two-dimensional Chebyshev wavelets approach for solving the Fokker-Planck equations of time and space fractional derivatives type with variable coefficients (Q2333238) (← links)
- \([3, 3]\) Padé approximation method for solving space fractional Fokker-Planck equations (Q2349297) (← links)
- Exact solutions and numerical simulations of time-fractional Fokker-Plank equation for special stochastic process (Q4993686) (← links)
- Advanced shifted sixth-kind Chebyshev tau approach for solving linear one-dimensional hyperbolic telegraph type problem (Q6066831) (← links)
- Numerical solutions for solving model time‐fractional<scp>Fokker–Planck</scp>equation (Q6087704) (← links)
- Jacobian spectral collocation method for spatio-temporal coupled Fokker-Planck equation with variable-order fractional derivative (Q6172018) (← links)
- A computational technique for solving the time‐fractional Fokker‐Planck equation (Q6182389) (← links)
- A space-time spectral collocation method for solving the variable-order fractional Fokker-Planck equation (Q6612428) (← links)
- A machine learning framework for efficiently solving Fokker-Planck equations (Q6616153) (← links)