Results 151 to 160 of about 904,121 (199)

The Speed of Shor's R-algorithm

IMA Journal of Numerical Analysis, 2008
Shor’s r-algorithm is an iterative method for unconstrained optimization, designed for minimizing nonsmooth functions, for which its reported success has been considerable. Although some limited convergence results are known, nothing seems to be known about the algorithm’s rate of convergence, even in the smooth case. We study how the method behaves on
J. V. Burke, A. S. Lewis, M. L. Overton
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GOES-R Algorithm Working Group (AWG)

SPIE Proceedings, 2009
For the next-generation of GOES-R instruments to meet stated performance requirements, state-of-the-art algorithms will be needed to convert raw instrument data to calibrated radiances and derived geophysical parameters (atmosphere, land, ocean, and space weather).
Jaime Daniels, Mitch Goldberg, Walter Wolf, Lihang Zhou, Kenneth Lowe   +4 more
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A Voronoi-Ant Colony-Based Routing (VoR-Ant-R) Algorithm for WMSNs

International Journal of Swarm Intelligence Research, 2021
Wireless Multimedia Sensor Networks (WMSNs) have been used in many applications and powerful distributed systems. But the performance of WMSNs is suffering from the occurrence of energy holes. To improve the performance of the network and packet delivery ratio, a Voronoi-Ant colony based Routing (VoR-Ant-R) algorithm is proposed for WMSNs to discover ...
null Suseela S., null Eswari R., Nickolas Savarimuthu   +2 more
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Adaptive r and h — r algorithms for boundary elements

Advances in Engineering Software, 1992
Adaptive meshing is an important tool for the numerical solution of partial differential equations. The impact of adaptive meshing is particularly evident when dealing with severe nonlinearities arising in certain initial-boundary value problems. In this paper the techniques of mesh redistribution \((r)\) and mesh refinement-redistribution \((h-r ...
Zamani, N. G., Sun, W.
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Multi-port interconnection networks for radix-R algorithms

2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221), 2002
In array processors, complex data reordering is often needed to realize the interconnection topologies between the computational nodes in algorithms. Several important algorithms, e.g., discrete trigonometric transforms and Viterbi decoding, can be represented in a radix-R form where the principal topology is stride by R permutation.
J.H. Takala, T.S. Jarvinen, P.V. Salmela, D.A. Akopian   +3 more
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Enhanced ICA-R Algorithm Based Steady Mixed Signals Separation

2018 5th International Conference on Information Science and Control Engineering (ICISCE), 2018
To solve the problem of steady mixed signal separation, we propose an enhanced reference independent component analysis (ICA-R) method by combining the negative entropy contrast function and the distance measurement function of the target signal. The new algorithm transforms the constrained optimization problem into an unconstrained optimization ...
Liu-yang Gao, Xiang Chen, Na-e Zheng, Jing-Zhi Zhang, Ying-hua Tian   +4 more
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r-Algorithms and ellipsoids

Cybernetics and Systems Analysis, 1996
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Compressed sensing and r-algorithms

2011 MICROWAVES, RADAR AND REMOTE SENSING SYMPOSIUM, 2011
This paper concerns the author's research in progress. It is not a paper of a completed work. We have a principal example, nuclear norm optimization problem, which is described intuitively and formally. We believe that the proper formulation (and implementation) of r-algorithm based solution of the problem will have general applications and we are ...
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Theory and Software Implementations of Shor’s r-Algorithms*

Cybernetics and Systems Analysis, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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FPGA implementation of one-unit fixed-point ICA-R algorithm

2010 International Conference on Intelligent Control and Information Processing, 2010
Independent component analysis with reference (ICA-R) can extract some desired source signals by utilizing rough information about the sources as reference signals, and thus achieve much improved performance compared to standard ICA utilizing no prior information.
Youfeng Wang, Qiuhua Lin
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