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找到约 10,000 项符合「Matrix」的源代码

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m grinprodgausnodequad.m

function int=grinprodgausnodequad(g,I); %grinprodgausnodequad Computes the gradient part of the system matrix %in the quadratic basis case. The conductivity is in the linear basis. % Function in
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m grinprodgausnode.m

function int=grinprodgausnode(g,I); %grinprodgausnode Computes the gradient part of the system matrix %in the linear basis case. The conductivity is also in the linear basis. % Function int=gr
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m cholesky.m

function R=cholesky(K,eta) %function R=cholesky(K,eta) % % Performs inncomplete cholesky of the kernel matrix K % %INPUTS % K = the kernel matrix (ell x ell matrix) % eta = tolerance paramete
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m centering.m

function Kc=centering(K) %function K=centering(K) % % Centeres the matrix K % %INPUTS % K = the kernel matrix to be centered % %OUTPUTS % Kc = the centered kernel matrix % % %For more in
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m rbf.m

function K = rbf(coord,sig) %function K = rbf(coord,sig) % % Computes an rbf kernel matrix from the input coordinates % %INPUTS % coord = a matrix containing all samples as rows % sig = sigma, the k
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m my_clustering.m

w=[2 2 2 3 0 -2 -1 1 3;0 2 4 3 3 2 -1 -2 -1]; %lable of the cluster cluster=[1 2 3 4 5 6 7 8 9]; %initialize distance matrix D=zeros(9,9); for i=1:9 for j=1:9 D(i,j)=(w(1,i)-w(1,j))^2+
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html encoding.html

Encoding Message Blocks Encoding Message Blocks To use a code to send messages, we must define a mapping from a bit vector, s, of len
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html dep-h.html

Linear Dependence in Parity Check Matrices Linear Dependence in Parity Check Matrices If a code is specified by means of a M by
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h decodeutil.h

#include #include #include #include int *ivector(int ilow,int ihigh); int **imatrix(int ilow,int ihigh,int jlow,int jhigh); double *vector(int ilow,i
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sci adjoint_spin.sci

function [JTb]=adjoint_spin(vtx,%simp,elec,x,gnd_ind,zc,I,no_pl,Vmes) JTb=[]; //function [JTb] = adjoint_spin(vtx,simp,elec,x,gnd_ind,zc,I,no_pl,Vmes); // //The function calculates the product J'*b,