Results 31 to 40 of about 256,417 (191)
CONTEST : a Controllable Test Matrix Toolbox for MATLAB [PDF]
, 2008 Large, sparse networks that describe complex interactions are a common feature across a number of disciplines, giving rise to many challenging matrix computational tasks.
Alan Taylor +7 more
core +3 more sources
Quantifying the Effect of Matrix Structure on Multithreaded Performance of the SpMV Kernel
, 2014 Sparse matrix-vector multiplication (SpMV) is the core operation in many common network and graph analytics, but poor performance of the SpMV kernel handicaps these applications.
Keltcher, Paul +3 more
core +1 more source
Sparse Recovery With Block Multiple Measurement Vectors Algorithm
IEEE Access, 2019 This paper investigates the performance of the block multiple measurement vectors (BMMV) algorithm in reconstructing block joint sparse matrices. We prove that if 41) obeys block restricted isometry property with 8 K+1 <; Nf +1 , then BMMV perfectly ...
Yanli Shi, Libo Wang, Rong Luo
doaj +1 more source
IEEE Access, 2020 Existing Dictionary Learning and Sparse Coding (DLSC) algorithms for Symmetric Positive Definite (SPD) matrices usually adopt Reproducing Kernel Hilbert Space as workspace to perform necessary linear operations.
Yang Zhang, Yuesheng Zhu
doaj +1 more source
Direct multiplicative methods for sparse matrices. Linear programming [PDF]
Компьютерные исследования и моделирование, 2017 Multiplicative methods for sparse matrices are best suited to reduce the complexity of operations solving systems of linear equations performed on each iteration of the simplex method.
Anastasiya Borisovna Sviridenko
doaj +1 more source
Structured random measurements in signal processing [PDF]
, 2014 Compressed sensing and its extensions have recently triggered interest in randomized signal acquisition. A key finding is that random measurements provide sparse signal reconstruction guarantees for efficient and stable algorithms with a minimal number ...
Krahmer, Felix, Rauhut, Holger
core +1 more source
Direct multiplicative methods for sparse matrices. Quadratic programming [PDF]
Компьютерные исследования и моделирование, 2018 A numerically stable direct multiplicative method for solving systems of linear equations that takes into account the sparseness of matrices presented in a packed form is considered.
Anastasiya Borisovna Sviridenko
doaj +1 more source
Estimating sparse precision matrices [PDF]
Monthly Notices of the Royal Astronomical Society, 2016 We apply a method recently introduced to the statistical literature to directly estimate the precision matrix from an ensemble of samples drawn from a corresponding Gaussian distribution. Motivated by the observation that cosmological precision matrices are often approximately sparse, the method allows one to exploit this sparsity of the precision ...
Padmanabhan, Nikhil +3 more
openaire +4 more sources
Compressed Multi-Row Storage Format for Sparse Matrices on Graphics Processing Units
, 2014 A new format for storing sparse matrices is proposed for efficient sparse matrix-vector (SpMV) product calculation on modern graphics processing units (GPUs).
Koza, Zbigniew +3 more
core +1 more source
Bayesian mmWave Channel Estimation via Exploiting Joint Sparse and Low-Rank Structures
IEEE Access, 2019 We consider the problem of channel estimation for millimeter wave (mmWave) systems, where both the base station and the mobile station employ a single radio frequency (RF) chain to reduce the hardware cost and power consumption. Recent real-world channel
Kaihui Liu +3 more
doaj +1 more source