Pages that link to "Item:Q5955482"
From MaRDI portal
The following pages link to Auto-Bäcklund transformation and similarity reductions for general variable coefficient KdV equations (Q5955482):
Displaying 16 items.
- A new (3+1)-dimensional Kadomtsev-Petviashvili equation and its integrability, multiple-solitons, breathers and lump waves (Q2664761) (← links)
- Auto-Bäcklund transformation and similarity reductions for the mKdV equation with time-dependent coefficient (Q2792139) (← links)
- Exact Analytical Solutions in Bose–Einstein Condensates with Time-Dependent Atomic Scattering Length (Q2960005) (← links)
- New Formal Solutions of Davey–Stewartson Equation via Combined tanh Function Method with Symmetry Method (Q2960038) (← links)
- (Q3010476) (← links)
- (Q3366257) (← links)
- ON IMPROVED HOMOGENEOUS BALANCE METHOD, AUTO-BÄCKLUND TRANSFORMATION AND MULTI-SOLITONIC SOLUTIONS OF A VARIABLE-COEFFICIENT BURGERS EQUATION (Q3631048) (← links)
- New exact solutions for the variable coefficient modified KdV equation using direct reduction method (Q4907165) (← links)
- On the exact and numerical solutions to the FitzHugh–Nagumo equation (Q5125349) (← links)
- Comparison exact and numerical simulation of the traveling wave solution in nonlinear dynamics (Q5151964) (← links)
- Integrable spatiotemporally varying KdV and MKdV equations: Generalized Lax pairs and an extended Estabrook-Wahlquist method (Q5741510) (← links)
- The homogeneous balance method, Lax pair, Hirota transformation and a general fifth-order KdV equation (Q5950953) (← links)
- VC-PINN: variable coefficient physics-informed neural network for forward and inverse problems of PDEs with variable coefficient (Q6069931) (← links)
- Parallel physics-informed neural networks method with regularization strategies for the forward-inverse problems of the variable coefficient modified KdV equation (Q6130986) (← links)
- Multiwave interaction solutions for a new extended equation in \((4+1)\)-dimension (Q6167993) (← links)
- Gradient-enhanced physics-informed neural networks based on transfer learning for inverse problems of the variable coefficient differential equations (Q6191522) (← links)