
SDPT3
 Referenced in 707 articles
[sw04009]
 structure are exploited. We also exploit lowrank structures in the constraint matrices associated...

SDPLR
 Referenced in 148 articles
[sw04745]
 based on the idea of lowrank factorization. A specialized version of SDPLR is also ... Programming Algorithm for Semidefinite Programs via Lowrank Factorization” written by S. Burer and R.D.C...

Manopt
 Referenced in 124 articles
[sw08493]
 pervasively in machine learning applications, including lowrank matrix completion, sensor network localization, camera network...

softImpute
 Referenced in 83 articles
[sw12263]
 columns or both, and for computing lowrank SVDs on large sparse centered matrices...

RTRMC
 Referenced in 43 articles
[sw20435]
 RTRMC : Lowrank matrix completion via preconditioned optimization on the Grassmann manifold. We address ... problem of recovering large matrices of low rank when most of the entries are unknown ... exploit the geometry of the lowrank constraint to recast the problem as an unconstrained...

Chebfun2
 Referenced in 41 articles
[sw12708]
 form u(y)v(x) (low rank approximants), where ... Chebfun objects. The socalled low rank approximations are constructed using an iterative algorithm that ... functions of two variables is of low rank or can be approximated...

ADMiRA
 Referenced in 35 articles
[sw31664]
 address compressed sensing of a lowrank matrix posing the inverse problem as an approximation ... sparse vector and a lowrank matrix and extending efficient greedy algorithms from the vector ... from the sparse vector to the lowrank matrix case. The performance guarantee is given ... case of noisy measurements and approximately lowrank solution. With a sparse measurement operator...

ALEA
 Referenced in 60 articles
[sw10167]
 python framework for spectral methods and lowrank approximations in uncertainty quantification. ALEA is intended...

LOBPCG
 Referenced in 33 articles
[sw09638]
 Preconditioned lowrank methods for highdimensional elliptic PDE eigenvalue problems. We consider elliptic ... desired solution vector x in a lowrank tensor format. In this paper ... hierarchical Tucker decomposition to develop a lowrank variant of LOBPCG, a classical preconditioned eigenvalue ... MALS with LOBPCG and with our lowrank variant is proposed. A number of numerical...

LowRankModels
 Referenced in 38 articles
[sw27002]
 package for modeling and fitting generalized low rank models (GLRMs). GLRMs model a data array ... low rank matrix, and include many well known models in data analysis, such as principal...

Pyglrm
 Referenced in 37 articles
[sw27003]
 package for modeling and fitting generalized low rank models (GLRMs), based on the Julia package ... model a data array by a low rank matrix, and include many well known models...

Tensorlab
 Referenced in 77 articles
[sw14255]
 MLSVD), block term decompositions (BTD) and low multilinear rank approximation (LMLRA), complex optimization: quasiNewton...

STRUMPACK
 Referenced in 46 articles
[sw17483]
 both dense and sparse systems using lowrank structured factorization with randomized sampling...

UQLab
 Referenced in 43 articles
[sw19740]
 expansions, Gaussian process modelling, a.k.a. Kriging, lowrank tensor approximations), rare event estimation (structural reliability...

NLEIGS
 Referenced in 34 articles
[sw22547]
 target set, and it also features lowrank approximation techniques for increased computational efficiency. Small...

NeNMF
 Referenced in 34 articles
[sw17586]
 matrix by the product of two lowrank nonnegative matrix factors. It has been widely...

OptShrink
 Referenced in 20 articles
[sw33657]
 OptShrink: an algorithm for improved lowrank signal matrix denoising by optimal, datadriven singular ... datadriven algorithm for denoising a lowrank signal matrix buried in noise. It takes ... matrix, an estimate of the signal matrix rank and returns as an output the improved ... blackbox manner wherever improving lowrank matrix estimation is desirable. The algorithm outperforms...

JIVE
 Referenced in 22 articles
[sw09511]
 decomposition consists of three terms: a lowrank approximation capturing joint variation across data types ... lowrank approximations for structured variation individual to each data type, and residual noise. JIVE...

DSDP5
 Referenced in 30 articles
[sw04411]
 interiorpoint method, sparse and lowrank data structures, extensibility that allows applications to customize...

Jellyfish
 Referenced in 29 articles
[sw12431]
 valued decision variables regularized to have low rank. Particular examples of problems solvable by Jellyfish...