代码搜索:fprintf

找到约 10,000 项符合「fprintf」的源代码

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m demard.m

%DEMARD Automatic relevance determination using the MLP. % % Description % This script demonstrates the technique of automatic relevance % determination (ARD) using a synthetic problem having three in
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m test_sample.m

a = 2; b = [6 4]; fprintf('Before sample: a = %f, b = %f %f\n',a,b); out = sample(a,b); fprintf('After sample: a = %f, b = %f %f\n',a,b); fprintf('After sample: out = %f\n',out);
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m nested_1.m

for ii = 1:3 for jj = 1:3 product = ii * jj; fprintf('%d * %d = %d\n',ii,jj,product); end end
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m nested_1.m

for ii = 1:3 for jj = 1:3 product = ii * jj; fprintf('%d * %d = %d\n',ii,jj,product); end end
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m toyfdtd1.m

function toyFDTD1(interactive) %toyFDTD1(interactive) % nargin==0 : run without using sliceomatic. % interactive=0 : stop at every saved time step and run sliceomatic.m for viewing the ez field. %
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c toyfdtd2.c

// ToyFDTD2, version 1.0 // The if-I-can-do-it-you-can-do-it FDTD! // Copyright (C) 1998,1999 Laurie E. Miller, Paul Hayes, Matthew O'Keefe // Copyright (C) 1999 John Schneider // This progra
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m jader.m

function B = jadeR(X,m) % Blind separation of real signals with JADE. Version 1.5 Dec. 1997. % % Usage: % * If X is an nxT data matrix (n sensors, T samples) then % B=jadeR(X) is a nxn separa
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m jader.m

function B = jadeR(X,m) % Blind separation of real signals with JADE. Version 1.5 Dec. 1997. % % Usage: % * If X is an nxT data matrix (n sensors, T samples) then % B=jadeR(X) is a nxn separa
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m jader.m

function B = jadeR(X,m) % Blind separation of real signals with JADE. Version 1.5 Dec. 1997. % % Usage: % * If X is an nxT data matrix (n sensors, T samples) then % B=jadeR(X) is a nxn separa
www.eeworm.com/read/343492/11944328

m jader.m

function B = jadeR(X,m) % Blind separation of real signals with JADE. Version 1.5 Dec. 1997. % % Usage: % * If X is an nxT data matrix (n sensors, T samples) then % B=jadeR(X) is a nxn s