vkoga_2d_input

pymor-demo vkoga_2d_input [ARGS]

Approximates a function with 2d input and 2d output from training data using VKOGA.

Parameters:

NUM-TRAINING-POINTS, --num-training-points

Number of training points in the weak greedy algorithm. [Default: 100]

GREEDY-CRITERION, --greedy-criterion

Selection criterion for the greedy algorithm. [Choices: fp, f, p, Default: fp]

MAX-CENTERS, --max-centers

Maximum number of selected centers in the greedy algorithm. [Default: 40]

TOL, --tol

Tolerance for the weak greedy algorithm. [Default: 1e-06]

REG, --reg

Regularization parameter for the kernel interpolation. [Default: 1e-12]

LENGTH-SCALE, --length-scale

The length scale parameter of the kernel. Only used when kernel = diagonal. [Default: 1.0]