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  • SDPT3
  • Referenced in 703 articles [sw04009]
  • structure are exploited. We also exploit low-rank structures in the constraint matrices associated...

  • STRUMPACK
  • Referenced in 44 articles [sw17483]
  • STRUMPACK - STRUctured Matrices PACKage - Fast linear solvers and preconditioner ... both dense and sparse systems using low-rank structured factorization with randomized sampling...

  • Manopt
  • Referenced in 117 articles [sw08493]
  • constraints. Such structured constraints appear pervasively in machine learning applications, including low-rank matrix completion...

  • SDPLR
  • Referenced in 147 articles [sw04745]
  • low-rank factorization. A specialized version of SDPLR is also available for solving specially structured ... Programming Algorithm for Semidefinite Programs via Low-rank Factorization” written by S. Burer and R.D.C...

  • DSDP5
  • Referenced in 30 articles [sw04411]
  • interior-point method, sparse and low-rank data structures, extensibility that allows applications to customize...

  • UQLab
  • Referenced in 43 articles [sw19740]
  • modelling, a.k.a. Kriging, low-rank tensor approximations), rare event estimation (structural reliability), global sensitivity analysis...

  • JIVE
  • Referenced in 22 articles [sw09511]
  • joint variation across data types, low-rank approximations for structured variation individual to each data...

  • Colibri
  • Referenced in 9 articles [sw12043]
  • desirable to track the low-rank structure as the graph evolves over time, efficiently...

  • ProxSDP
  • Referenced in 4 articles [sw41321]
  • Exploiting low-rank structure in semidefinite programming by approximate operator splitting. In contrast to many ... able to exploit the low-rank property inherent ... several semidefinite programming problems. Exploiting the low-rank structure provides a substantial speedup and allows ... larger instances. As opposed to other low-rank based methods, the proposed algorithm has convergence...

  • Hm-toolbox
  • Referenced in 6 articles [sw32776]
  • matrices. Matrices with hierarchical low-rank structure, including HODLR and HSS matrices, constitute a versatile ... maintains the favorable complexity of hierarchical low-rank matrices and offers, at the same time...

  • MSCRA_rankmin
  • Referenced in 3 articles [sw37064]
  • stage convex relaxation approach to noisy structured low-rank matrix recovery. This paper concerns with ... noisy structured low-rank 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 low-rank matrix recovery examples to confirm...

  • LOBPCG
  • Referenced in 33 articles [sw09638]
  • Preconditioned low-rank methods for high-dimensional 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 low-rank tensor format. In this paper...

  • IDENT
  • Referenced in 3 articles [sw30329]
  • solved as a mosaic-Hankel structured low-rank approximation problem.Additional nonstandard features of the software...

  • MALSAR
  • Referenced in 5 articles [sw14319]
  • Regularized Multi-Task Learning; Alternating Structural Optimization; Incoherent Low-Rank and Sparse Learning; Robust ... Low-Rank Multi-Task Learning; Clustered Multi-Task Learning; Multi-Task Learning with Graph Structures...

  • PNKH-B
  • Referenced in 2 articles [sw40451]
  • interior point method effectively exploits the low-rank structure, its computational cost only scales linearly...

  • SE-Sync
  • Referenced in 9 articles [sw40678]
  • relaxation by exploiting its low-rank, geometric, and graph-theoretic structure to reduce...

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

  • HiCMA
  • Referenced in 1 article [sw30064]
  • rank off-diagonal tile structure. Numerical low-rank approximations have demonstrated attractive theoretical bounds, both...

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

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