نتایج جستجو برای: jacobi svd

تعداد نتایج: 13925  

Alireza Ahmadian Ebrahim Najafzadeh Hanieh Mohamadreza Marjaneh Hejazi

Introduction Non-invasive Fluorescent Reflectance Imaging (FRI) is used for accessing physiological and molecular processes in biological media. The aim of this article is to separate the overlapping emission spectra of quantum dots within tissue-equivalent phantom using SVD, Jacobi SVD, and NMF methods in the FRI mode. Materials and Methods In this article, a tissue-like phantom and an optical...

Journal: :iranian journal of medical physics 0

introduction non-invasive fluorescent reflectance imaging (fri) is used for accessing physiological and molecular processes in biological media. the aim of this article is to separate the overlapping emission spectra of quantum dots within tissue-equivalent phantom using svd, jacobi svd, and nmf methods in the fri mode. materials and methods in this article, a tissue-like phantom and an optical...

1995
Bing Bing Zhou Richard P. Brent

In this paper we give evidence to show that in onesided Jacobi SVD computation the sorting of column norms in each sweep is very important. Two parallel Jacobi orderings are described. These orderings can generate n(n 1)=2 di erent index pairs and sort column norms at the same time. The one-sided Jacobi SVD algorithm using these parallel orderings converges in about the same number of sweeps as...

2005
ZLATKO DRMAČ C. G. J. Jacobi

This paper presents new implementation of one–sided Jacobi SVD for triangular matrices and its use as the core routine in a new preconditioned Jacobi SVD algorithm, recently proposed by the authors. New pivot strategy exploits the triangular form and uses the fact that the input triangular matrix is the result of rank revealing QR factorization. If used in the preconditioned Jacobi SVD algorith...

Journal: :SIAM J. Matrix Analysis Applications 2007
Zlatko Drmac Kresimir Veselic

This paper presents new implementation of one–sided Jacobi SVD for triangular matrices and its use as the core routine in a new preconditioned Jacobi SVD algorithm, recently proposed by the authors. New pivot strategy exploits the triangular form and uses the fact that the input triangular matrix is the result of rank revealing QR factorization. If used in the preconditioned Jacobi SVD algorith...

1992
MARC MOONEN JOOS VANDEWALLE

In this paper, we extend the well known QR-updating scheme to a similar but more versatile and generally applicable scheme for updating the singular value decomposition (SVD). This is done by supplementing the QR-updating with a Jacobi-type SVD procedure, where apparently only a few SVD steps after each QR-update su ce in order to restore an acceptable approximation for the SVD. This then resul...

2011
Fen Qin Joseph Collins Jeonghwa Lee

A majority of DNA microarray datasets contain missing or corrupt values and it is critical to estimate these values accurately. These missing values are most often attributed to insufficient experimental resolution or the presence of foreign objects on the experimental slide’s surface. To improve existing missing value estimation algorithms, this paper introduces and investigates the scalable s...

Journal: :SIAM Journal on Scientific Computing 2001

1994
B B Zhou Richard P Brent

In this paper we give evidence to show that in one-sided Jacobi SVD computation the sorting of column norms in each sweep is very important. An eecient parallel ring Jacobi ordering for computing singular value decomposition is described. This ordering can generate n(n ? 1)=2 diierent index pairs and sort column norms at the same time. The one-sided Jacobi SVD algorithm using this parallel orde...

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