• LMaFit

  • Referenced in 62 articles [sw12221]
  • Complete (MC), Sparse Matrix Separation (SMS), Matrix Compressive Sensing...
  • PhaseLift

  • Referenced in 171 articles [sw31783]
  • problem inspired by the recent literature on matrix completion. More importantly, we also demonstrate that ... noise-aware algorithms are stable in the sense that the reconstruction degrades gracefully...
  • DSPCA

  • Referenced in 35 articles [sw04804]
  • Frobenius-norm sense, a positive, semidefinite symmetric matrix by a rank-one matrix, with...
  • ADMiRA

  • Referenced in 31 articles [sw31664]
  • paper, we address compressed sensing of a low-rank matrix posing the inverse problem...
  • MaTest

  • Referenced in 10 articles [sw11873]
  • logic research. It applies the matrix-method (in the sense of Lewis & Langford1) exhaustively ... algorithm constitutes a general solution to the matrix-method problem with finite matrices. Semantically speaking...
  • Algorithm 767

  • Referenced in 2 articles [sw04678]
  • column reduction of polynomial matrices. A polynomial matrix is called column-reduced if its column ... possible in some sense. Two polynomial matrices P and R are called unimodularly equivalent ... there exists a unimodular polynomial matrix U such that PU=R. Every polynomial matrix ... sense that the magnitude of the elements of the residual matrix PU-R is about...
  • GAGA

  • Referenced in 2 articles [sw12223]
  • software package for solving large compressed sensing problems with millions of unknowns in fractions ... consists of ten greedy algorithms using five matrix ensembles. This release is set to compile ... Matlab executables to enhance your compressed sensing research and applications. A user guide is available ... equipped with three clases of matrix multiplication, generic dense matrices, sparse matrices, and the subsampled...
  • popdemo

  • Referenced in 1 article [sw23537]
  • implementations of MPMs, or matrix models in a more general sense...
  • TPtool

  • Referenced in 6 articles [sw11769]
  • given LPV model in the same sense as the HOSVD does for matrices and tensors ... convex polytopic forms, upon which LMI (Linear Matrix Inequality) based multi-objective control design techniques...
  • DOUG

  • Referenced in 4 articles [sw16658]
  • solver is automatic in the sense that it requires minimal additional information about ... geometry of the domain. The solver parallelises matrix–vector operations required by iterative methods...
  • SBA

  • Referenced in 24 articles [sw05242]
  • optimal 3D structure and motion (i.e. camera matrix) parameter estimates. Provided with initial estimates ... computational gains. sba is generic in the sense that it grants the user full control...
  • Algorithm 900

  • Referenced in 1 article [sw20183]
  • optimal in the sense of minimizing the trace of the covariance matrix of the errors...
  • HEPTHools

  • Referenced in 3 articles [sw30615]
  • Adinkra height yielding matrix numbers: eigenvalue equivalence classes for minimal four-color adinkras. An adinkra ... equivalence class are isomorphic in the sense that adinkras within a (chi_{mathrm{o}})-equivalence ... with these node-lifted adinkras Height Yielding Matrix Numbers (HYMNs) and introduce HYMN equivalence classes...
  • PyLops

  • Referenced in 1 article [sw30606]
  • used in signal and image processing, remote sensing, and inverse problems. For small to medium ... performing algebraic operations (e.g., computation of matrix-vector products and manipulation of matrices) with syntax...
  • svcR

  • Referenced in 1 article [sw19768]
  • package which takes a numerical matrix format as data input, and computes clusters using ... speed up cluster extraction. In this sense, SVC can be seen as an efficient cluster...
  • Rx-Caffe

  • Referenced in 1 article [sw25898]
  • realize the primitive DNN operation, viz., vector-matrix multiplication. However, in practice, the functionality ... level non-idealities such as driver resistance, sensing resistance, sneak paths, and interconnect parasitics. Although...
  • TARM

  • Referenced in 1 article [sw30728]
  • goal is to recover a low-rank matrix from a small amount of noisy affine ... inspired by the recently developed turbo compressed sensing algorithm for sparse signal recovery. We show ... ROIL operators are used for low-rank matrix recovery. We further extend the TARM algorithm...
  • SMV++

  • Referenced in 1 article [sw13465]
  • main idea is to develop a reliable matrix library, as part of the computer code ... effective”; the effectiveness is in the sense of complexity of possibilities, rather than computational efficiency...
  • RGCNN

  • Referenced in 1 article [sw36662]
  • become popular with the development of depth sensing and 3D laser scanning techniques ... particular, we update the graph Laplacian matrix that describes the connectivity of features in each...
  • ADOL-C

  • Referenced in 233 articles [sw00019]
  • ADOL-C: Automatic Differentiation of C/C++. We present...