ptypy.utils.math_utils

Numerical util functions.

This file is part of the PTYPY package.

copyright:

Copyright 2014 by the PTYPY team, see AUTHORS.

license:

see LICENSE for details.

Functions

abs2(A)	Squared absolute value for an array A.
cabs2(A)	Squared absolute value for an array A.
delxb(a[, axis])	Backward first order derivative for finite difference calculation.
delxc(a[, axis])	Central first order derivative for finite difference calculation.
delxf(a[, axis, out])	Forward first order derivative for finite difference calculation.
gauss_fwhm(x[, fwhm, off])	Evaluates gaussian with full width half maximum
gaussian(x[, std, off])	Evaluates gaussian standard normal
gaussian2D(size[, std_x, std_y, off_x, off_y])	Evaluates normalized 2D gaussian on array of dimension size.
gf(c, *arg, **kwargs)	Wrapper for scipy.ndimage.gaussian_filter, that determines whether original or the complex function shall be used.
gf_2d(c, sigma, **kwargs)	Gaussian filter along the last 2 axes
norm(A)	Norm.
norm2(A)	Squared norm
ortho(modes)	Orthogonalize the given list of modes or ndarray along first axis.
rl_deconvolution(data, mtf, numiter)	Richardson Lucy deconvolution on a 2D numpy array.
smooth_step(x, mfs)	Smoothed step function with fwhm mfs Evaluates the error function scipy.special.erf.