代码搜索：Matrices

找到约 3,616 项符合「Matrices」的源代码

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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
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m fgetf.m

function [fout,wout]=fgetf(w,f,index) %FGETF Get component matrices from MVFR matrix. % FGETF(W,F,INDEX) gets the component matrices % of the MVFR matrix, F, associated with W(INDEX)
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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. % %
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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
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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
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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 %
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m frnmat.m

function [d,rsigma]=frnmat(w,f) %FRNMAT Calculates the normalized row dominance scalings. % FRNMAT(W,F) returns an MVFR matrix of real positive diagonal % pre-multiplier matrices which scale Fm
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www.eeworm.com/read/316047/13531219

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
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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
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m fdoubly2.m

function [doubly_d]=fdoubly2(d) % %[doubly_d]=fdoubly2(d) % %This function takes a non-negative, symmetric weight matrix and makes it doubly stochastic %(both rows and columns sum to 1). % %INP
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