代码搜索：Matrices
找到约 3,616 项符合「Matrices」的源代码
代码结果 3,616
www.eeworm.com/read/272848/10941533
output iterativedpmatrixchain.output
Enter number of matrices
Enter number of rows in matrix 1
Enter number of rows in matrix 2
Enter number of rows in matrix 3
Enter number of rows in matrix 4
Enter number of rows in matrix 5
Ente
www.eeworm.com/read/271760/10981543
m fnorm.m
function y=fnorm(w,f,p)
%FNORM Norms of MVFR matrix.
% FNORM(W,F,p) applies NORM(Fm,p) to each component matrix
% Fm of the MVFR matrix, F. The results are returned as
% a column vector of len
www.eeworm.com/read/271760/10981546
m ftrn.m
function fout=ftrn(w,f)
%FTRN Complex conjugate transpose of MVFR matrix.
% FTRN(W,F) returns an MVFR matrix whose component
% matrices are the complex conjugate transposes
% o
www.eeworm.com/read/469416/6976381
m dist2.m
function n2 = dist2(x, c)
%DIST2 Calculates squared distance between two sets of points.
%
% Description
% D = DIST2(X, C) takes two matrices of vectors and calculates the
% squared Euclidean dis
www.eeworm.com/read/299984/7139970
m gauss.m
%GAUSS Generation of a multivariate Gaussian dataset
%
% A = GAUSS(N,U,G,LABTYPE)
%
% INPUT
% N Array of number of objects to generate for each class
% U Dataset with means, labels a
www.eeworm.com/read/299984/7140327
m nbayesc.m
%NBAYESC Bayes Classifier for given normal densities
%
% W = NBAYESC(U,G)
%
% INPUT
% U Dataset of means of classes
% G Covariance matrices (optional; default: identity matrices)
%
% OUTP
www.eeworm.com/read/460435/7250445
m gauss.m
%GAUSS Generation of a multivariate Gaussian dataset
%
% A = GAUSS(N,U,G,LABTYPE)
%
% INPUT
% N Array of number of objects to generate for each class
% U Dataset with means, labels a
www.eeworm.com/read/460435/7250802
m nbayesc.m
%NBAYESC Bayes Classifier for given normal densities
%
% W = NBAYESC(U,G)
%
% INPUT
% U Dataset of means of classes
% G Covariance matrices (optional; default: identity matrices)
%
% OUTP
www.eeworm.com/read/458493/7295518
m addmult.m
function [s,p] = addmult(x,y)
% addmult Compute sum and product of two matrices
s = x+y;
p = x*y;
www.eeworm.com/read/458493/7295529
m twosum.m
function twosum(x,y)
% twosum Add two matrices and print the result
x+y