Results 81 to 90 of about 256,417 (191)

Performance of algebraic multigrid methods for non-symmetric matrices arising in particle methods

, 2009
Large linear systems with sparse, non-symmetric matrices arise in the modeling of Markov chains or in the discretization of convection-diffusion problems.
Seibold, Benjamin
core  

Positive Definite $\ell_1$ Penalized Estimation of Large Covariance Matrices [PDF]

, 2012
The thresholding covariance estimator has nice asymptotic properties for estimating sparse large covariance matrices, but it often has negative eigenvalues when used in real data analysis.
Ma, Shiqian, Xue, Lingzhou, Zou, Hui
core  

Sparse Stable Matrices

, 2013
In the design of decentralized networked systems, it is useful to know whether a given network topology can sustain stable dynamics. We consider a basic version of this problem here: given a vector space of sparse real matrices, does it contain a stable (Hurwitz) matrix?
openaire   +2 more sources

Sparse Recovery Using Sparse Random Matrices [PDF]

, 2010
Over the recent years, a new linear method for compressing high-dimensional data (e.g., images) has been discovered. For any high-dimensional vector x, its sketch is equal to Ax, where A is an m×n matrix (possibly chosen at random). Although typically the sketch length m is much smaller than the number of dimensions n, the sketch contains enough ...
openaire   +1 more source

An inverse method for structural modification without changing the specified multiple eigen frequencies and their eigen vectors on a whole structure

Nihon Kikai Gakkai ronbunshu
Vibration performance is the one of the important performances in automotive product because of related to not only ride comfort and control performance of vehicle but also durability and noise performance.
Masashi INABA, Yuichi MATSUMURA
doaj   +1 more source

Compressed Sensing Based Apple Image Measurement Matrix Selection

International Journal of Distributed Sensor Networks, 2015
The purpose of this paper is to design a measurement matrix of apple image based on compressed sensing to realize low cost sampling apple image. Compressed sensing based apple image sampling method makes a breakthrough to the limitation of the Nyquist ...
Ying Xiao, Wanlin Gao, Ganghong Zhang, Han Zhang   +3 more
doaj   +1 more source

Multiple Target Localization in WSNs Based on Compressive Sensing Using Deterministic Sensing Matrices

International Journal of Distributed Sensor Networks, 2015
Accurate and low-cost localization of multiple targets or nodes is one of fundamental and challenging technical issues in wireless sensor networks (WSNs).
Thu L. N. Nguyen, Yoan Shin
doaj   +1 more source

SPARSKIT: A basic tool kit for sparse matrix computations [PDF]

Presented here are the main features of a tool package for manipulating and working with sparse matrices. One of the goals of the package is to provide basic tools to facilitate the exchange of software and data between researchers in sparse matrix ...
Saad, Youcef
core   +1 more source

On very sparse circulant (0,1) matrices

Linear Algebra and its Applications, 2006
This paper is concerned with the structure of circulant \((0,1)\)-matrices with 3 ones per row.
SALVI, RODOLFO, ZAGAGLIA, NORMA
openaire   +3 more sources

Sparse approximations of matrix functions via numerical integration of ODEs

Bulletin of Computational Applied Mathematics, 2016
We consider the numerical computation of matrix functions f(x) via matrix ODE integration. The solution is modeled as an asymptotic steady state of a proper differential system.
Jean-Paul Chehab
doaj