- مبلغ: ۸۶,۰۰۰ تومان
- مبلغ: ۹۱,۰۰۰ تومان
There are plenty of application papers in which kernels or radial basis functions are successfully used for solving partial differential equations by meshless methods. The usage of kernels is typically based on spatial interpolation at scattered locations, writing the trial functions ‘‘entirely in terms of nodes’’. For stationary partial differential equations, the discretization can take pointwise analytic derivatives of the trial functions to end up with a linear system of equations. This started in  and was pursued in the following years, including a convergence theory in . There are also variations that use weak data, like the Meshless Local Petrov–Galerkin method  with a convergence theory in .