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/390607/8457281
h diffusion.h
//---------------------------------------------------------------------------
// Project: FlowLive
// Module: thermo
/*!\file diffusion.h
\brief
\version
www.eeworm.com/read/362408/10000124
m diffusion.m
%diffusion + dla
clear all
clf
nx=200; %must be divisible by 4
ny=200;
z=zeros(nx,ny);
o=ones(nx,ny);
sand = z ;
sandNew = z;
sum = z;
gnd = z;
gnd(nx/2,ny/2) = 1 ;
sand = rand(nx,
www.eeworm.com/read/421391/10738117
cc diffusion.cc
/*
* diffusion.cc
* Copyright (C) 2000 by the University of Southern California
* $Id: diffusion.cc,v 1.14 2006/03/10 12:25:28 mahrenho Exp $
*
* This program is free software; you can redistrib
www.eeworm.com/read/421391/10738148
h diffusion.h
/*
* diffusion.h
* Copyright (C) 2000 by the University of Southern California
* $Id: diffusion.h,v 1.7 2005/08/25 18:58:03 johnh Exp $
*
* This program is free software; you can redistribute it
www.eeworm.com/read/421391/10738201
cc diffusion.cc
/*
* diffusion.cc
* Copyright (C) 2000 by the University of Southern California
* $Id: diffusion.cc,v 1.14 2006/03/10 12:25:28 mahrenho Exp $
*
* This program is free software; you can red
www.eeworm.com/read/421391/10738228
h diffusion.h
/*
* diffusion.h
* Copyright (C) 2000 by the University of Southern California
* $Id: diffusion.h,v 1.7 2005/08/25 18:58:03 johnh Exp $
*
* This program is free software; you can redistrib
www.eeworm.com/read/462153/7208399
m diffusion.m
function [I,J] = diffusion(radiance,diffcoeff,Nit,noise)
% Simulate the diffusion equation for Nit steps
%
% Copyright 2006 Paolo Favaro (p.favaro@hw.ac.uk)
%
% School of Engineering and Physic
www.eeworm.com/read/462153/7208406
m ._diffusion.m
www.eeworm.com/read/399326/7869611
m diffusion.m
function out=diffusion(L,input,iterations)
%function out=diffusion(L,input,iterations) computes anisotropic diffusion
%for iterations number of time steps with a time step given by timestep
%
%Inputs:
www.eeworm.com/read/484548/6579627
m diffusion.m
function F = diffusion(a,data,weights);
% Used by the curve fitter to calculate values for the diffusion equation
F = (a(3) + (a(1) .* (a(2)./(a(2) + abs(data))))).*weights;