代码搜索:Matrix

找到约 10,000 项符合「Matrix」的源代码

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m nlgen.m

function y = nlgen (x, h, q) %NLGEN generates the output of a second order Volterra system % y = nlgen (x, h, q) % y(n) = sum_{k} h(k) x(n-k) + sum_{k} sum_{l} q(k,l) x(n-k)x(n-l) % the
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l fmm.l

.TH fmm l "12 November 1996" "PRISM version 1.0" "PRISM routine (version 1.0)" .TH fmm l "12 November 1996" "PRISM routine" "PRISM routine" .SH NAME fmm - Winograd's variant of Strassen's algorithm to
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l dgemm.l

.TH DGEMM l "16 October 1992" "BLAS routine" "BLAS routine" .SH NAME DGEMM - perform one of the matrix-matrix operations C := alpha*op( A )*op( B ) + beta*C, .SH SYNOPSIS .TP 17 SUBROUTINE DGEMM ( T
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l dgefmm.l

.TH DGEFMM l "12 November 1996" "PRISM version 1.0" "PRISM routine (version 1.0)" .TH DGEFMM l "12 November 1996" "PRISM routine" "PRISM routine" .SH NAME DGEFMM - Winograd's variant of Strassen's alg
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l dgefmm_mem.l

.TH DGEFMM_MEM l "12 November 1996" "PRISM version 1.0" "PRISM routine (version 1.0)" .TH DGEFMM_MEM l "12 November 1996" "PRISM routine" "PRISM routine" .SH NAME DGEFMM_MEM - Winograd's variant of St
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m addnoise.m

% addnoise Adds white noise to a denisty matrix. % addnoise(rho,p,d) computes the matrix % rho'=(1-p)*rho+p*eye(d^N)/d^N where N is % the number of qudits and d is the dimension of % th
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m spreordermat.m

% spreordermat Transformation matrix for reordering the qudits according to % the given pattern; sparse version. % spreordermat(pattern,d) gives a sparse transformation matrix for %
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m reorder.m

% reorder Reorder a state vector or a density matrix according to % the given pattern. % reorder(v,pattern) transforms a state vector or a density matrix % putting the qubits in the
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m negativity.m

% negativity Negativity for a qudit register. % negativity(M,list,d) computes the matrix obtained from M % by partially transposing the qudits given in the list, % and returns with the s
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m ketbra2.m

% ketbra2 Creating a density matrix from an unnormalized state vector. % Creates a density matrix from a state vector. If it was % already a density matrix then it just normalizes it. % Copyr