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/123946/14605582

m fminimum.m

function [y,i]=fminimum(w,f) %FMINIMUM Minimum of MVFR matrix % FMINIMUM(W,F) applies MIN to each component matrix of % the MVFR matrix, F, and returns one row per frequency. % %
www.eeworm.com/read/123946/14605598

m fcnmat.m

function [d,csigma]=fcnmat(w,f) %FCNMAT Calculates the normalized column dominance scalings. % FCNMAT(W,F) returns an MVFR matrix of real positive diagonal % post-multiplier matrices which scale
www.eeworm.com/read/123946/14605628

m genrdemo.m

% GENRDEMO MVFR Generation and Display Demonstration for MFD Toolbox. echo off % J.M Boyle 30th August 1987 % Copyright (c) 1987 by GEC Engineering Research Centre & Cambridge Control Ltd
www.eeworm.com/read/123946/14605656

m eyef.m

function y=eyef(w,m,n) %EYEF Generate identity MVFR matrix % EYEF(W,n) returns an MVFR matrix made up of n-by-n identity matrices. % % EYEF(W,m,n) returns an MVFR matrix made up of m
www.eeworm.com/read/123946/14605693

m fmax.m

function [y,i]=fmax(w,f) %FMAX Maximum of MVFR matrix % FMAX(W,F) applies MAX to each component matrix of % the MVFR matrix, F, and returns one row per frequency. % % [Y,I]=FM
www.eeworm.com/read/123946/14605722

m pm2tf.m

function [num,comden]=pm2tf(comden,s0,s1,s2,s3,s4,s5,s6,s7,s8,s9,s10); %PM2TF Polynomial matrices to transfer function matrix % PM2TF(Comden,S0,S1,.Si..,S10) returns a single MIMO transfer %
www.eeworm.com/read/123946/14605726

m fmul.m

function fout=fmul(w,f,c) %FMUL Multiply MVFR matrix by a matrix. % FMUL(W,F,C) returns F*C % FMUL(W,C,F) returns C*F % where F is the MVFR matrix % W is the associated
www.eeworm.com/read/216463/15006072

mod2convert-test-out

Creating sparse matrix. Converting from sparse to dense. Converting back to dense again. Testing for equality of two sparse matrices: OK. Converting to dense once again. Testing for equality of two d
www.eeworm.com/read/114454/15052870

m arres.m

function [siglev,res]=arres(w,A,v,k) %ARRES Test of residuals of fitted AR model. % % [siglev,res]=ARRES(w,A,v) computes the time series of residuals % % res(k,:)' = v(k+p,:)'- w - A1*
www.eeworm.com/read/212047/15167678

todo

* Document Jacobi eigen function, in particular that it only works for symmetric matrices.