Results 21 to 30 of about 275,774 (266)
Singular Value Decomposition [PDF]
The Bulletin of Society for Mathematical Services and Standards, 2014 We study the SVD of an arbitrary matrix Anxm, especially its subspaces of activation, which leads in natural manner to pseudoinverse of Moore-Bjenhammar-Penrose. Besides, we analyze the compatibility of linear systems and the uniqueness of the corresponding solution, and our approach gives the Lanczos classification for these systems.
J.H. Caltenco +3 more
openaire +2 more sources
International Journal of Distributed Sensor Networks, 2020 Sparse decomposition has excellent adaptability and high flexibility in describing arbitrary complex signals based on redundant and over-complete dictionary, thus having the advantage of being free from the limitations of traditional signal processing ...
Hongchao Wang, Wenliao Du
doaj +1 more source
TRUST MODEL FOR SOCIAL NETWORK USING SINGULAR VALUE DECOMPOSITION [PDF]
Interdisciplinary Description of Complex Systems, 2016 For effective interactions to take place in a social network, trust is important. We model trust of agents using the peer to peer reputation ratings in the network that forms a real valued matrix.
Davis Bundi Ntwiga +2 more
doaj +1 more source
Reducing Memory Cost of Exact Diagonalization using Singular Value Decomposition [PDF]
, 2011 We present a modified Lanczos algorithm to diagonalize lattice Hamiltonians with dramatically reduced memory requirements, {\em without restricting to variational ansatzes}. The lattice of size $N$ is partitioned into two subclusters.
/SLAC +5 more
core +2 more sources
A Geometric Perspective on the Singular Value Decomposition [PDF]
, 2015 This is an introductory survey, from a geometric perspective, on the Singular Value Decomposition (SVD) for real matrices, focusing on the role of the Terracini Lemma.
Ottaviani, Giorgio, Paoletti, Raffaella
core +3 more sources
A Gradient Descent Algorithm on the Grassman Manifold for Matrix Completion [PDF]
, 2009 We consider the problem of reconstructing a low-rank matrix from a small subset of its entries. In this paper, we describe the implementation of an efficient algorithm called OptSpace, based on singular value decomposition followed by local manifold ...
Keshavan, Raghunandan H., Oh, Sewoong
core +1 more source
Zhongguo dianli, 2021 Partial discharge signals are prone to missed detection under low signal-to-noise ratios, and the traditional singular value decomposition algorithm requires massive calculations when extracting partial discharge pulses.
Li WANG, Wei ZHANG, Dingnan LUO
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A Randomized Tensor Train Singular Value Decomposition
, 2017 The hierarchical SVD provides a quasi-best low rank approximation of high dimensional data in the hierarchical Tucker framework. Similar to the SVD for matrices, it provides a fundamental but expensive tool for tensor computations. In the present work we
Huber, Benjamin +2 more
core +1 more source
Compression Digital Video Files using Singular Value Decomposition [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2018 The development of data transfer technologies over multimedia or communications networks needs to be addressed to large storage units so that they can be sent and received in a packaged manner.
Hasan Ahmed
doaj +1 more source
Singular-value decomposition of solution operators to model evolution equations [PDF]
, 2014 We consider evolution equations generated by quadratic operators admitting a decomposition in creation-annihilation operators without usual ellipticity-type hypotheses; this class includes hypocoercive model operators.
Aleman, Alexandru, Viola, Joe
core +1 more source