DIFFOP_kernel_Gradient

(chamberwise) factor for the weight kernel for the least squares approximation stencils for gradients (UCV)

The differential operators are introduced in DOCUMATH_DifferentialOperators.pdf. Especially, see section 1 of this document, where the weight kernels are introduced. In principle, the weight kernel has the form \begin{align} W(\mathbf{x}_j,\mathbf{x}) = \exp\left( -\alpha \frac{\|\mathbf{x}_j-\mathbf{x}\|^2}{h(\mathbf{x}_j)^2} \right)\end{align} With DIFFOP_kernel_Gradient, we define the parameter \( \alpha\) for the weight kernel used for the gradient approximation stencils. Big values make the kernel narrow, small values make it broad. Note: This parameter can also be set chamberwise for multiphase simulations (see also KindOfProblem, CHAMBER). If it is not set for specific chambers, it is automatically set according to the non-chamberwise definition for all chambers.
This item is referenced in:
common_variables simple box driving through a channel of water: common_variables.dat
DIFFOP_kernel_Gradient (chamberwise) factor for the weight kernel for the least squares approximation stencils for gradients (CV)
DIFFOP_kernel_Gradient (chamberwise) factor for the weight kernel for the least squares approximation stencils for gradients (UCVO)
DIFFOP_kernel_Gradient (chamberwise) factor for the weight kernel for the least squares approximation stencils for gradients (UCV)
DIFFOP_kernel_Laplace (chamberwise) factor for the weight kernel for the least squares approximation stencils for the Laplacian (UCV)
DIFFOP_kernel_Transport (chamberwise) factor for the weight kernel for the least squares approximation stencils for the transport operators (UCV)
approxY() approximation of a MESHFREE-entity by the MESHFREE least squares operators