Results 1 to 10 of about 1,283 (114)

Optimal Combination of the Splitting–Linearizing Method to SSOR and SAOR for Solving the System of Nonlinear Equations

Mathematics
The symmetric successive overrelaxation (SSOR) and symmetric accelerated overrelaxation (SAOR) are conventional iterative methods for solving linear equations. In this paper, novel approaches are presented by combining a splitting–linearizing method with
Chein-Shan Liu, Essam R. El-Zahar, Chih-Wen Chang   +2 more
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Convergence of SAOR Method for the Linear Complementarity Problems [PDF]

International Journal of Engineering and Manufacturing, 2012
In this paper we apply an iterative method, the SAOR method for solving the linear complementarity problem, and some sufficient conditions for the convergence of the new method are presented when the system matrix M is an M-matrix. Moreover when M is an L-matrix, we discuss the monotone convergence of it. Finally, we report the numerical results of our
Xian-li Han, Dong-jin Yuan, Shan Jiang
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Symmetric accelerated overrelaxation (SAOR) method

Mathematics and Computers in Simulation, 1982
Abstract This paper extends the theory of the Accelerated Overrelaxation (AOR) method and presents what is called Symmetric AOR (SAOR) method. This is done in a way analogous to the one where the SSOR method is obtained from the SOR one. In addition the theoretical and computational results which are given in the text support the validity of the ...
Hadjidimos, A., Yeyios, A.
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The accelerated SAOR method for large linear systems

Journal of Computational and Applied Mathematics, 1988
Sei A eine symmetrische und positiv definite Matrix. Zur Lösung von \(Ax=b\) wird ein dreiparametriges Verfahren vorgeschlagen, dessen Parameter sich im Verlauf des Verfahrens selbst korrigieren. Basis ist ein symmetrisches, extrapoliertes SOR-Verfahren, welches als Grundlage eines semi-iterativen Verfahrens genommen wird.
Ohsaki, Ichi-ann, Niki, Hiroshi
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Derived equivalences induced by big cotilting modules [PDF]

, 2014
We prove that given a Grothendieck category G with a tilting object of finite projective dimension, the induced triangle equivalence sends an injective cogenerator of G to a big cotilting module.
Stovicek, Jan
core   +1 more source

On the convergence of the SAOR method and the error bounds for its acceleration

Journal of Computational and Applied Mathematics, 1988
The symmetric accelerated overrelaxation (SAOR) method is an iterative method similar to the symmetric successive overrelaxation (SSOR) method, but it differs from that better known method in that it requires the use to choose two rather than one acceleration parameter. If the two parameters are equal, the SAOR method is the same as the SSOR method. In
Evans, D.J., Li, C.
openaire   +1 more source

Smashing localizations of rings of weak global dimension at most one [PDF]

, 2016
none2siWe show for a ring R of weak global dimension at most one that there is a bijection between the smashing subcategories of its derived category and the equivalence classes of homological epimorphisms starting in R. If, moreover, R is commutative,
Bazzoni, Silvana, Stovicek, Jan
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Bravehearts and Bonny Mountainsides: Nation and History in Scottish Folk/Black Metal [PDF]

, 2016
Music, art, culture and leisure are elements or tools of political nationalism, of hegemonic control and of counter-hegemonic resistance. In the Scottish independence referendum, pop and rock musicians came out on either side, lending their voice, their ...
Anderson Benedict, Baigent Michael, Baudrillard Jean, Brown Dan, Davies Norman, Eco Umberto, Eco Umberto, Giddens Anthony, Gramsci Antonio, Habermas Jürgen, Habermas Jürgen, Habermas Jürgen, Habermas Jürgen, Hesse David, Hill Rene, Hobsbawm Eric   +15 more
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Depression and suicide risk prediction models using blood-derived multi-omics data [PDF]

, 2019
More than 300 million people worldwide experience depression; annually, ~800,000 people die by suicide. Unfortunately, conventional interview-based diagnosis is insufficient to accurately predict a psychiatric status. We developed machine learning models
Bhak, Jong, Bhak, Youngjune, Blazyte, Asta, Cho, Juok, Cho, Yun Sung, Gim, Jeong-An, Ham, Byung-Joo, Jeon, Sungwon, Jeon, Yeonsu, Jeong, Hyoung-oh, Kang, Wooyoung, Kim, Aram, Kim, Byung Chul, Kim, Hak-Min, Kim, Yumi, Lee, Hae-Woo, Lee, Semin, Paik, Jong-Woo, Park, Seung Gu, Shin, Eun-Seok   +19 more
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Low-Complexity SAOR and Conjugate Gradient Accelerated SAOR Based Signal Detectors for Massive MIMO Systems

Applied System Innovation
A major challenge for massive multiple-input multiple-output (MIMO) technology is designing an efficient signal detector. The conventional linear minimum mean square error (MMSE) detector is capable of achieving good performance in large antenna systems ...
Imran A. Khoso, Mazhar Ali, Muhammad Nauman Irshad, Sushank Chaudhary, Pisit Vanichchanunt, Lunchakorn Wuttisittikulkij   +5 more
doaj   +1 more source