A numerical scheme based on radial basis function finite difference (RBF-FD) technique for solving the high-dimensional nonlinear Schrödinger equations using an explicit time discretization: Runge-Kutta method.
Mehdi DehghanVahid MohammadiPublished in: Comput. Phys. Commun. (2017)
Keyphrases
- finite difference
- hamilton jacobi
- numerical scheme
- radial basis function
- rbf neural network
- finite element
- eikonal equation
- partial differential equations
- semi implicit
- rbf network
- numerical solution
- basis functions
- numerical analysis
- support vector machine svm
- numerical methods
- high dimensional
- level set
- diffusion equation
- high order
- pairwise
- support vector machine
- artificial neural networks
- linear combination
- pattern recognition
- low dimensional
- feature space
- image segmentation
- computer vision