KratosMultiphysics
KRATOS Multiphysics (Kratos) is a framework for building parallel, multi-disciplinary simulation software, aiming at modularity, extensibility, and high performance. Kratos is written in C++, and counts with an extensive Python interface.
Namespaces | Functions
common.py File Reference

Namespaces

 common
 

Functions

def common.Mv (nu, X)
 Matérn kernel. More...
 
def common.Matern_kernel (x, nu=1, rho=1)
 
def common.SM_kernel (x, a)
 Shifted Matern kernel. More...
 
def common.GM_kernel (x, nu, rho, a)
 Generalized Matern kernel. More...
 
def common.EP_kernel (x, a)
 Exponential-polynomial kernel. More...
 
def common.vf2tau (vf, sigma=1, strategy=0)
 Volume fraction to Tau (and vice-versa) More...
 
def common.tau2vf (tau, sigma=1, strategy=0)
 
def common.Cov2S2 (tau, g, strategy=0)
 
def common.FourierOfGaussian (noise)
 Fourier Transform of Gaussian Noise. More...
 
def common.compute_Sphericity (V, A)
 Inclusion geometry. More...
 
def common.Expectation (X)
 Basic probability tools. More...
 
def common.Variance (X, m=None)
 
def common.SpacialCovariance (X)
 
def common.compute_ProbaDist (data, bins=None)
 Compute probability distribution (from data) More...
 
def common.fit_ProbaDist (x, p, type='LogNormal')
 Fit a probability with LogNormal (or Normal) More...
 
def common.autocorrelation (X)
 Autocorrelation of an image. More...
 
def common.slope_by_fft (C)
 
def common.dens_Exponential (x, lmbda=1)
 Probability densities. More...
 
def common.dens_Normal (x, m=0, sigma=1)
 
def common.dens_LogNormal (x, m=0, sigma=1)
 
def common.MC_estimate_Covariance (RandomField, nsamples=100, nbins=None)
 Estimate covariance using Monte-Carlo. More...