
SDPT3
 Referenced in 647 articles
[sw04009]
 structure are exploited. We also exploit lowrank structures in the constraint matrices associated...

STRUMPACK
 Referenced in 32 articles
[sw17483]
 STRUMPACK  STRUctured Matrices PACKage  Fast linear solvers and preconditioner ... both dense and sparse systems using lowrank structured factorization with randomized sampling...

Manopt
 Referenced in 98 articles
[sw08493]
 constraints. Such structured constraints appear pervasively in machine learning applications, including lowrank matrix completion...

SDPLR
 Referenced in 122 articles
[sw04745]
 lowrank factorization. A specialized version of SDPLR is also available for solving specially structured ... Programming Algorithm for Semidefinite Programs via Lowrank Factorization” written by S. Burer and R.D.C...

DSDP5
 Referenced in 27 articles
[sw04411]
 interiorpoint method, sparse and lowrank data structures, extensibility that allows applications to customize...

Colibri
 Referenced in 8 articles
[sw12043]
 desirable to track the lowrank structure as the graph evolves over time, efficiently...

UQLab
 Referenced in 31 articles
[sw19740]
 modelling, a.k.a. Kriging, lowrank tensor approximations), rare event estimation (structural reliability), global sensitivity analysis...

MSCRA_rankmin
 Referenced in 3 articles
[sw37064]
 stage convex relaxation approach to noisy structured lowrank matrix recovery. This paper concerns with ... noisy structured lowrank matrix recovery problem which can be modeled as a structured rank ... reduction of the error and approximate rank bounds of the first stage convex relaxation ... Numerical experiments are conducted for some structured lowrank matrix recovery examples to confirm...

JIVE
 Referenced in 12 articles
[sw09511]
 joint variation across data types, lowrank approximations for structured variation individual to each data...

Hmtoolbox
 Referenced in 4 articles
[sw32776]
 matrices. Matrices with hierarchical lowrank structure, including HODLR and HSS matrices, constitute a versatile ... maintains the favorable complexity of hierarchical lowrank matrices and offers, at the same time...

LOBPCG
 Referenced in 32 articles
[sw09638]
 Preconditioned lowrank methods for highdimensional elliptic PDE eigenvalue problems. We consider elliptic ... eigenvalue problem Ax=λx exhibits Kronecker product structure. In particular, we are concerned with ... desired solution vector x in a lowrank tensor format. In this paper...

IDENT
 Referenced in 3 articles
[sw30329]
 solved as a mosaicHankel structured lowrank approximation problem.Additional nonstandard features of the software...

MALSAR
 Referenced in 5 articles
[sw14319]
 Regularized MultiTask Learning; Alternating Structural Optimization; Incoherent LowRank and Sparse Learning; Robust ... LowRank MultiTask Learning; Clustered MultiTask Learning; MultiTask Learning with Graph Structures...

FLAM
 Referenced in 3 articles
[sw33776]
 classes of matrices with hierarchical lowrank block structure. Such matrices commonly arise in physical...

HiCMA
 Referenced in 1 article
[sw30064]
 rank offdiagonal tile structure. Numerical lowrank approximations have demonstrated attractive theoretical bounds, both...

Rdsdp
 Referenced in 1 article
[sw27793]
 provides primal and dual solutions, exploits lowrank structure and sparsity in the data...

STRUL
 Referenced in 1 article
[sw10318]
 valued variables. This leads to a lowrank structure in the basis matrices which...

BTTSoftImpute
 Referenced in 1 article
[sw34805]
 scale data matrices admitting a lowrank tensor structure. An iterative softthresholding algorithm...

NLEIGS
 Referenced in 28 articles
[sw22547]
 generalized eigenvalue problem with special structure. This structure is particularly suited for the rational Krylov ... target set, and it also features lowrank approximation techniques for increased computational efficiency. Small...

TuckerMPI
 Referenced in 2 articles
[sw27856]
 goal is compression of massivescale gridstructured data, such as the multiterabyte output ... result is a lowrank approximation of the original tensorstructured data. Compression efficiency...