代码搜索：diffusion
找到约 573 项符合「diffusion」的源代码
代码结果 573
www.eeworm.com/read/393424/8287865
m m6_sdefile.m
function [out1,out2,out3] = M6_sdefile(t,x,flag,bigtheta,SDETYPE,NUMDEPVARS,NUMSIM)
% SDE model definition: drift, diffusion, derivatives and initial conditions.
%
% [out1,out2,out3] = M6_s
www.eeworm.com/read/188790/8515020
in makefile.in
# Copyright (c) 1994, 1995, 1996
# The Regents of the University of California. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are per
www.eeworm.com/read/429077/8820043
in makefile.in
# Copyright (c) 1994, 1995, 1996
# The Regents of the University of California. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are per
www.eeworm.com/read/350746/10713373
m nldifdemo3.m
% NLDIFDEMO3 Non linear diffusion demonstration 3
%
% Type NLDIFDEMO3.
%
clc
disp('_____________________________Non Linear diffusion demonstration 3________________________')
disp(' ')
di
www.eeworm.com/read/462153/7208390
readme
IMPLEMENTATION OF THE DIFFUSION-BASED APPROACH TO SHAPE FROM DEFOCUS
Paolo Favaro
p.favaro@hw.ac.uk
This is a Matl
www.eeworm.com/read/462153/7208392
m divergencer.m
function [divF] = divergenceR(F,coeff)
% compute the divergence of the gradient of f
% multiplied by a diffusion coefficient
% backward difference scheme
%
% Copyright 2006 Paolo Favaro (p.favaro
www.eeworm.com/read/461011/7235868
in makefile.in
# Copyright (c) 1994, 1995, 1996
# The Regents of the University of California. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are per
www.eeworm.com/read/196104/8115086
in makefile.in
# Copyright (c) 1994, 1995, 1996
# The Regents of the University of California. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are per
www.eeworm.com/read/310277/13654164
m compdiff1.m
%Program : Linear Complex Diffusion
%Author : Jeny Rajan
%The following program will produce scale space image based on the concept of
%linear complex diffusion.
%Application area : Image Denoisi
www.eeworm.com/read/484548/6579630
m diffusionflow.m
function F = diffusionflow(a,data,weights);
% f=g0d*(1+x/td)^-1+g0f*exp(-(v*x/w)^2) + c
% Used by the curve fitter to calculate values for the diffusion flow equation
F = (a(1) .* (1+data./