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updated almost 2 years ago

Symmetric eigenvalue decomposition and the SVD by Yuji Nakatsukasa

Eigendecomposition of a symmetric matrix or the singular value decomposition of an arbitrary matrix (mathematics, matrix, eigenvalue)

qdwh(A,alpha,L,piv)

qdwheig(H,normH,minlen,NS)

qdwhsvd(A,a,b,minlen,NS);

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updated 4 years ago

Bidirectional Branch and Bound Solvers for Worst Case Loss Minimization by Yi Cao

Two branch and bound solvers using worst case loss criterion to select controlled variables. (branch and bound, eighenvalue, optimization)

[B,sset,ops,ctime,flag]=b3wc(G1,Gd1,Wd,Wn,Juu,Jud,tlimit,...

[B,sset,ops,ctime,flag]=pb3wc(G1,Gd1,Wd,Wn,Juu,Jud,n,tlim...

[G1,Gd1,Wd,Wn,Juu,Jud]=randcase(ny,nu,nd)

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updated 5 years ago

Bidirectional Branch and Bound Minimum Singular Value Solver (V2) by Yi Cao

A branch and bound solver to find the largest minimum singular values among all submatrices. (optimization, branch and bound, singular value)

[B,sset,ops]=b3msv(Q,nc)

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