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/156956/11750164

m savecase.m

function fname_out = savecase(fname, p1, p2, p3, p4, p5, p6, p7) %SAVECASE Saves a MATPOWER case file, given a filename and the data matrices. % % savecase(fname, baseMVA, bus, gen, branch) % sav
www.eeworm.com/read/123143/14645626

m fstrvcat.m

function a=fstrvcat(a1,a2,a3,a4,a5,a6,a7,a8,a9,a10,a11) %FSTRVCAT Form matrix from individual vectors and matrices. % AOUT = FSTRVCAT(A1,A2,A3,..) forms the matrix AOUT containing the % vectors
www.eeworm.com/read/220289/14843992

m mlppack.m

function [wh, nodes] = mlppack(W1, B1, W2, B2, W3, B3, W4, B4) % MLPPACK ReBEL MLP neural network weight matrices vectorizer. % % This function packs the parameters (weights and biases) of ReBEL ML
www.eeworm.com/read/15788/540011

m conv2fft.m

function [out] = conv2fft(z1,z2,shape,shape2) %CONV2FFT FFT-based two dimensional convolution. % C = CONV2FFT(A, B) performs the 2-D convolution of matrices % A and B. If [ma,na] = size(A)
www.eeworm.com/read/167185/5462098

c posdefsol.c

posdefsol(M,A,B,x,y,t,t1,n)/* solves M*x=y, M pos definite, A, B temp matrices, t and t1 temp vectors */ register double A[],B[],M[],x[],y[],t[],t1[]; register int n; { register int rtflag,i; dmmov
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c posdefsol.c

posdefsol(M,A,B,x,y,t,t1,n)/* solves M*x=y, M pos definite, A, B temp matrices, t and t1 temp vectors */ register double A[],B[],M[],x[],y[],t[],t1[]; register int n; { register int rtflag,i; dmmov
www.eeworm.com/read/359369/2978588

m mlppack.m

function [wh, nodes] = mlppack(W1, B1, W2, B2, W3, B3, W4, B4) % MLPPACK ReBEL MLP neural network weight matrices vectorizer. % % This function packs the parameters (weights and biases) of ReBEL ML
www.eeworm.com/read/474986/6798895

m t2hot2ihe.m

function [T2Hot2ihe] = T2Hot2ihe(X,alpha) %Hotelling's T-Squared test for two multivariate independent samples %with unequal covariance matrices. % % Syntax: function [T2Hot2ihe] = T2Hot2ihe(X
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m t2hot2iho.m

function [T2Hot2iho] = T2Hot2iho(X,alpha) %Hotelling's T-Squared test for two multivariate independent samples %with equal covariance matrices. % % Syntax: function [T2Hot2iho] = T2Hot2iho(X,a
www.eeworm.com/read/294636/8214641

m conv2fft.m

function [out] = conv2fft(z1,z2,shape,shape2) %CONV2FFT FFT-based two dimensional convolution. % C = CONV2FFT(A, B) performs the 2-D convolution of matrices % A and B. If [ma,na] = size(A)