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Sparse matrix

Known as: Dense matrix, Sparse vector, Sparsity 
In numerical analysis, a sparse matrix is a matrix in which most of the elements are zero. By contrast, if most of the elements are nonzero, then the… 
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APMonitorARPACKASCENDASTAP

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2011
Highly Cited
2011
Weighted Fuzzy Rule Interpolation Based on GA-Based Weight-Learning Techniques
In this paper, we propose a weighted fuzzy interpolative reasoning method for sparse fuzzy rule-based systems. It is based on a… 
Highly Cited
2009
Highly Cited
2009
Algorithm 891: A Fortran virtual memory system
Fortran_Virtual_Memory is a Fortran 95 package that provides facilities for reading from and writing to direct-access files. A… 
Highly Cited
2005
Highly Cited
2005
On data gathering protocols for in-body biomedical sensor networks
This paper investigates the effectiveness of data gathering protocols for in-body biomedical sensor networks. We studied the… 
Highly Cited
2004
Highly Cited
2004
DAPR: a protocol for wireless sensor networks utilizing an application-based routing cost
As wireless sensor networks continue to attract more attention, new ideas for applications are continually being developed, many… 
Highly Cited
2003
Highly Cited
2003
A novel DSR-based energy-efficient routing algorithm for mobile ad-hoc networks
Mobile ad-hoc networks (MANETs) are wireless networks consisting of a collection of untethered nodes with no fixed infrastructure… 
Highly Cited
1995
Highly Cited
1995
Speaker recognition using hidden Markov models, dynamic time warping and vector quantisation
The authors evaluate continuous density hidden Markov models (CDHMM), dynamic time warping (DTW) and distortion-based vector… 
Highly Cited
1992
Highly Cited
1992
The measured equation of invariance-a new concept in field computation
Computations of electromagnetic fields are based either on differential equations or on integral equations. The differential… 
Highly Cited
1990
Highly Cited
1990
Poor Estimates of Context are Worse than None
It is difficult to estimate the probability of a word's context because of sparse data problems. If appropriate care is taken, we… 
Highly Cited
1976
Highly Cited
1976
Sulphate–light scattering ratio as an index of the role of sulphur in tropospheric optics
THE optical properties of the non-cloudy atmosphere are determined by a fixed component, the molecular gases, and a variable… 
Highly Cited
1970
Highly Cited
1970
Symbolic Generation of an Optimal Crout Algorithm for Sparse Systems of Linear Equations
An efficient implementation of the Crout elimination method in solving large sparse systems of linear algebraic equations of… 
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