代码搜索:Matrix

找到约 10,000 项符合「Matrix」的源代码

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gss logit1.gss

/* ************************************************************************ * (C) Copyright 1999, Peter Lenk. All Rights Reserved. * LOGIT1.GSS *------>Common choice sets for each subject. * S
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out allpairs.out

Enter number of edges of 5 vertex weighted digraph enter edge 1 enter edge 2 enter edge 3 enter edge 4 enter edge 5 enter edge 6 enter edge 7 The weighted digraph is 0 4 2 0 8 0 0 0 4 5 0
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cpp smatrix.cpp

// test formula based sparse matrix class #include #include "smatrix.h" void main(void) { SparseMatrix A(20), B(20), C(20); cin >> A; cout
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m matdistance.m

function d = matdistance(a,b) % DISTANCE - computes Euclidean distance matrix % % E = distance(A,B) % % A - (DxM) matrix % B - (DxN) matrix % % Returns: % E - (MxN) Euclidean distan
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m vz2vt.m

% VZ2VT: Compute V(x,t) and Vrms(x,t) from V(x,z) and a ZOS exploding % reflector model of V(x,z) % % This function takes in a depth velocity model and a ZOS exploding % reflector model
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txt 08-51.txt

% calculate the sines of the elements of the matrix function y = sinm(x) for k = 1: prod(size(x)) y(k) = maple('sin',x(k)); end y = reshape(y,size(x)); >> syms x y >> A = [0 x; y pi/4]
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txt 09-06.txt

% plot N(0,1),N(0,2),N(0,3) by plotting a matrix clear; x=[-3:0.2:3]'; for i=1:3 y(:,i)=1/sqrt(2*pi*i)*exp(-1/(2*i)*x.^2); end plot(y);
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m nlgen.m

function y = nlgen (x, h, q) %NLGEN generates the output of a second order Volterra system % y = nlgen (x, h, q) % y(n) = sum_{k} h(k) x(n-k) + sum_{k} sum_{l} q(k,l) x(n-k)x(n-l) % the
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m nlgen.m

function y = nlgen (x, h, q) %NLGEN generates the output of a second order Volterra system % y = nlgen (x, h, q) % y(n) = sum_{k} h(k) x(n-k) + sum_{k} sum_{l} q(k,l) x(n-k)x(n-l) % the
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c mvnorm.c

/*---------------------------------------------------------------------- File : mvnorm.c Contents: Multivariate normal distribution estimation and management Author : Christian Borgelt His