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Theory and algorithms for matrix problems with positive semidefinite constraints

open access: yes, 2016
This thesis presents new theoretical results and algorithms for two matrix problems with positive semidefinite constraints: it adds to the well-established nearest correlation matrix problem, and introduces a class of semidefinite Lagrangian subspaces.First, we propose shrinking, a method for restoring positive semidefiniteness of an indefinite matrix $
openaire   +1 more source

Parallel Implementation for SemiDefinite Programming with Positive Definite Matrix Completion

open access: yesParallel Implementation for SemiDefinite Programming with Positive Definite Matrix Completion
identifier:oai:t2r2.star.titech.ac.jp ...
openaire  

Bayesian inference of sample-specific coexpression networks. [PDF]

open access: yesGenome Res
Saha E   +8 more
europepmc   +1 more source

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