Results 1 to 10 of about 522,371 (218)
MathematicsWe study a multi-product production and inventory planning problem with uncertain demand in the cold rolling stage of steel production processes. The problem is to determine the production amount of each product in each planning period so that the sum of
Jing Wu +3 more
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Sparsest Input Selection for Controllability of Singular Systems via a Two-Step Greedy Algorithm
IEEE Access, 2020 In this paper, the problem of determining the sparsest input matrices to ensure controllability of linear singular systems is investigated. Firstly, it is shown that, determining the sparsest input matrices to ensure reachable controllability or complete
Yan Zhang, Wanhong Zhang
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1996 IEEE International Symposium on Circuits and Systems. Circuits and Systems Connecting the World. ISCAS 96, 2002 In recent years, the technique of simplification during generation has turned out to be very promising for the efficient computation of approximate symbolic network functions for large transistor circuits. In this paper it is shown how symbolic network functions can be simplified during their generation with any well-known symbolic network analysis ...
Wambacq, Piet +4 more
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Approximation algorithm to symmetric alpha stable distribution with bi-region curve model
Tongxin xuebao, 2013 The symmetric alpha stable (S S) was used to model a non-Gaussian,heavy tail and impulsive noise of com-α munication channels.However,explicit expressions for the probability density functions (PDF) in terms of elementary functions are still unknown ...
Kang WANG, Zhi-jiang XU, Li-min MENG
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An optimal sequential algorithm for the uniform approximation of convex functions on [0,1]2 [PDF]
Applied Mathematics & Optimization, 1983 In this paper an algorithm is given for the sequential selection ofN nodes (i.e., measurement points) for the uniform approximation (recovery) of convex functions over [0, 1]2, which has almost optimal order global error, (źc1Nź1lgN), over a naturally defined class of convex functions.
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Influence Activation Function in Approximate Periodic Functions Using Neural Networks
Ibn Al-Haitham Journal for Pure and Applied Sciences, 2017 The aim of this paper is to design fast neural networks to approximate periodic functions, that is, design a fully connected networks contains links between all nodes in adjacent layers which can speed up the approximation times, reduce approximation ...
Luma N. M. Tawfiq, Ala K. Jabber
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BMC Bioinformatics, 2007 Background Identity by descent (IBD) matrix estimation is a central component in mapping of Quantitative Trait Loci (QTL) using variance component models.
Carlborg Örjan, Besnier Francois
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Design of a Hybrid Ensemble Feature Selection Framework for Big Data Text Mining
ITEGAM-JETIAThe growing volume of textual data often exceeds the capacity of available computing resources, and conventional machine learning algorithms struggle to scale up.
Smah Smari +2 more
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A general quantum algorithm for numerical integration
Scientific ReportsQuantum algorithms have shown their superiority in many application fields. However, a general quantum algorithm for numerical integration, an indispensable tool for processing sophisticated science and engineering issues, is still missing.
Guoqiang Shu +4 more
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Laguerre-Based Frequency-Limited Balanced Truncation of Discrete-Time Systems
MathematicsThis paper introduces a novel model order reduction (MOR) method for linear discrete-time systems, focusing on frequency-limited balanced truncation (BT) techniques. By leveraging Laguerre functions, we develop two efficient MOR algorithms that avoid the
Zhou Song, Qiu-Yan Song, Umair Zulfiqar
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