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Monotone Modifications of r-Algorithms and Their Applications
Cybernetics and Systems Analysis, 2002zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Arithmetic modeling of random processes and r-algorithms
Cybernetics and Systems Analysis, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Cybernetics and Systems Analysis, 1995
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Global Navigation Satellite System Reflectometry (GNSS-R) algorithms for wetland observations
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017It is important to closely monitor the state of the world's wetlands, as climate change and human encroachment in a rapid global urbanization trend threaten to cause large-scale wetland collapse. Because wetlands are often difficult to observe in situ, remote sensing is the only viable way to map wetland extent globally. However, current remote sensing
Cinzia Zuffada +2 more
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Production of proxy datasets in support of GOES-R algorithm development
SPIE Proceedings, 2009Realistic simulated satellite imagery for GOES-R ABI using state of the art mesoscale modeling and accurate radiative transfer is being produced at the Cooperative Institute for Research in the Atmosphere (CIRA) and used in developing and testing new products.
Don Hillger +5 more
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TheQ R algorithm for band symmetric matrices
Numerische Mathematik, 1970The Q R algorithm with shifts of origin may be used to determine the eigenvalues of a band symmetric matrix A. The algorithm is described by the relations $$\matrix{ {{A_s} - {k_s}I = {Q_s}{R_s},} & {{R_s}{Q_s} = {A_{s + 1}}} & {(s = 1,2, \ldots )} \cr } $$ (1) where the Q s are orthogonal and the R s are upper triangular.
Martin, R. S. +2 more
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VLSI Design of a Fast One-Stage Independent Component Extracting System Based on ICA-R Algorithm
Journal of Circuits, Systems and Computers, 2020Independent component analysis (ICA) is an efficient blind source separation technique, but the extracted independent components are randomly permuted in classic ICA algorithms, and subsequent identification is required to find the desired component. Such a two-stage method causes inefficiency.
Zunchao Li +3 more
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Coevolution of lags and RBFNs for time series forecasting: L-Co-R algorithm
Soft Computing, 2011This paper introduces Lags COevolving with Rbfns (L-Co-R), a coevolutionary method developed to face time-series forecasting problems. L-Co-R simultaneously evolves the model that provides the forecasted values and the set of time lags the model must use in the prediction process.
E. Parras-Gutierrez +3 more
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Shor’s r-Algorithms: Theory and Practice
2017Properties of three computational forms of r-algorithms differentiated by their complexities (number of calculations per iteration) are considered. The results on convergence of the limit variants of r-algorithms for smooth functions and r μ (α)-algorithm for nondifferentiable functions are presented.
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An Alternative ACO $_{\Bbb{R}}$ Algorithm for Continuous Optimization Problems
2010The Ant Colony Optimization (ACO) metaheuristic embodies a large set of algorithms which have been successfully applied to a wide range of optimization problems. Although ACO practitioners have a long tradition in solving combinatorial optimization problems, many other researchers have recently developed a variety of ACO algorithms for dealing with ...
Guillermo Leguizamón +1 more
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