代码搜索：Matrix
找到约 10,000 项符合「Matrix」的源代码
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www.eeworm.com/read/281000/10273945
cpp fig10_46.cpp
/**
* Compute optimal ordering of matrix multiplication.
* c contains the number of columns for each of the n matrices.
* c[ 0 ] is the number of rows in matrix 1.
* The minimum number of mult
www.eeworm.com/read/355337/10274894
m kf_loop.m
%KF_LOOP Performs the prediction and update steps of the Kalman filter
% for a set of measurements.
%
% Syntax:
% [MM,PP] = KF_LOOP(X,P,H,R,Y,A,Q)
%
% In:
% X - Nx1 initial estimate f
www.eeworm.com/read/355337/10274932
m etf_smooth1.m
%ETF_SMOOTH1 Smoother based on two extended Kalman filters
%
% Syntax:
% [M,P] = ETF_SMOOTH1(M,P,Y,A,Q,ia,W,aparam,H,R,h,V,hparam,same_p_a,same_p_h)
%
% In:
% M - NxK matrix of K mean estimates f
www.eeworm.com/read/355337/10274972
m schol.m
%SCHOL Cholesky factorization for positive semidefinite matrices
%
% Syntax:
% [L,def] = schol(A)
%
% In:
% A - Symmetric pos.semi.def matrix to be factorized
%
% Out:
% L - Lower triangular
www.eeworm.com/read/355237/10284112
m kf_loop.m
%KF_LOOP Performs the prediction and update steps of the Kalman filter
% for a set of measurements.
%
% Syntax:
% [MM,PP] = KF_LOOP(X,P,H,R,Y,A,Q)
%
% In:
% X - Nx1 initial estimate f
www.eeworm.com/read/355237/10284157
m etf_smooth1.m
%ETF_SMOOTH1 Smoother based on two extended Kalman filters
%
% Syntax:
% [M,P] = ETF_SMOOTH1(M,P,Y,A,Q,ia,W,aparam,H,R,h,V,hparam,same_p_a,same_p_h)
%
% In:
% M - NxK matrix of K mean estimates f
www.eeworm.com/read/355237/10284195
m schol.m
%SCHOL Cholesky factorization for positive semidefinite matrices
%
% Syntax:
% [L,def] = schol(A)
%
% In:
% A - Symmetric pos.semi.def matrix to be factorized
%
% Out:
% L - Lower triangular
www.eeworm.com/read/426017/10294112
m backsubold.m
function x = backsub( N, mults, d, e, b )
% x = backsub( N, mults, d, e, b )
%
% Based on TINVIT in EISPACK
% performs back-substitution for a symmetric tridiagonal linear system
% N is the order
www.eeworm.com/read/162420/10306281
m findmin.m
%*******findmin.m***************************************
%this function is used to find a row number and column number of the minimum element of a input matrix.
% [i,j]=findmin(matrix)
% input:
%
www.eeworm.com/read/280592/10312518
m center.m
function X = center(X)
% CENTER Center the observations of a data matrix.
% X = CENTER(X) centers the observations of an nxp data matrix where n
% is the number of observations and p is the