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, 2011 This paper presents a one-layer recurrent neural network for solving linear programming problems. The proposed neural network is guaranteed to be globally convergent in finite time to the optimal solutions under a mild condition on a derived lower bound of a single gain parameter. The number of neurons in the neural network is the same as the number of
Qingshan Liu, Jun Wang
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AN ANALYTIC EXACT FORM OF HEAVISIDE STEP FUNCTION
Advances and Applications in Discrete Mathematics, 2019 openalex +2 more sources
Proceedings of Moscow Institute of Physics and Technology, 2021 K. O. Guk, Olga Anatol'evna Myltcina
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Implementing internal interfaces in finite-difference schemes with the Heaviside step function
SEG Technical Program Expanded Abstracts 2018, 2018 Rune Mittet
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The Dirac delta function and Heaviside step function
P. Jeppesen, B. Tromborg
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