代码搜索：Matrix
找到约 10,000 项符合「Matrix」的源代码
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m rotqr2mr.m
function mr=rotqr2mr(qr)
%ROTQR2MR converts a matrix of real quaternion vectors to quaternion matrices
% Inputs:
%
% QR(4m,n) mxn matrix of real quaternion vectors (each 4x1)
%
% Outputs:
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m achecker.m
function A=achecker(n)
% The command A=achecker(n) generates an nxn matrix A
% whose entries alternate between 1 and 0. Specifically
% C(i,j)=1 if i+j is odd, otherwise C(i,j)=0. This matrix
% is simi
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m rowswap.m
function B=rowswap(A,i,j)
% The command rowswap(A,i,j) interchanges
% rows i and j of the matrix A and outputs
% the resulting matrix.
[m,n]=size(A);
if im|jm
error('Index out of r
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m nulbasis.m
function N = nulbasis(A)
% NULBASIS(A) is a matrix whose columns form a basis
% for the null space of A. The basis is obtained from
% the reduced row echelon form of A.
[R,jp] = rref(A);
[m,n] =
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m diffmat.m
function A=diffmat(n)
% The command A=diffmat(n) will generate an
% nxn matrix whose (i,j) entry is |i-j|.
A=toeplitz([0:n-1]);
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m hconsec.m
function A=hconsec(n)
% The command A=hconsec(n) will generate an nxn matrix whose
% entries in each row are consecutive integers. The first
% entry in each row is the same as the number of the ro
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m cyclic.m
function C=cyclic(n)
% The command cyclic(n) generates an nxn matrix
% with 1's on the diagonal just above the main
% diagonal and a 1 in the lower left hand corner.
% The remaining entries of th
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m niceimag.m
function niceimag
% The command niceimag generates a matrix for an ATLAST
% exercise on the singular value decomposition and digital
% imaging. The rank 1 svd approximation to the image is
% gen
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m ss_tbl31.m
Gold sequences for the table of problem 3.1 of Spread Spectrum Chapter
Note that the sequences are the columns of the below matrix not the rows,
so we have to take the transpose of the following matr
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m pcaerr.m
function [err, minerr, evals] = pcaerr(A, W)
% PCAERR Compute the average reconstruction error for a PCA matrix.
%
% [err, minerr] = pcaerr(A, W)
% A is the data matrix where each column is a