Results 41 to 50 of about 700,908 (311)
Parallel implementation of stochastic simulation for large-scale cellular processes [PDF]
, 2005 Experimental and theoretical studies have shown the importance of stochastic processes in genetic regulatory networks and cellular processes. Cellular networks and genetic circuits often involve small numbers of key proteins such as transcriptional ...
Kevin Burrage +6 more
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Stochastic Apportionment [PDF]
The American Mathematical Monthly, 2004 The problem of how to allocate to states the seats in the US House of Representatives is the most studied instance of what is termed the `apportionment problem'. We propose a new method of apportionment which is stochastic, which meets the quota condition, and which is fair in the sense of expectations.
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Energies, 2020 Thermochemical Energy Storage (TCES), specifically the calcium oxide (CaO)/calcium hydroxide (Ca(OH)2) system is a promising energy storage technology with relatively high energy density and low cost. However, the existing models available to predict the
Timothy Praditia +3 more
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A toolbox to demystify probabilistic and statistical paradoxes
Frontiers in Education, 2023 There is a variety of empirical evidence that the coverage of paradoxes in mathematics education helps to support thorough understanding of probabilistic and statistical concepts.
Riko Kelter +2 more
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Estimates for multiple stochastic integrals and stochastic Hamilton-Jacobi equations [PDF]
, 2004 We study stochastic Hamilton-Jacobi-Bellman equations and the corresponding Hamiltonian systems driven by jump-type Lévy processes. The main objective of the present paper is to show existence, uniqueness and a (locally in time) diffeomorphism ...
Kolokoltsov, V. N. (Vasiliĭ Nikitich) +10 more
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A STOCHASTIC APPROXIMATION ALGORITHM FOR STOCHASTIC SEMIDEFINITE PROGRAMMING [PDF]
Probability in the Engineering and Informational Sciences, 2016 Motivated by applications to multi-antenna wireless networks, we propose a distributed and asynchronous algorithm for stochastic semidefinite programming. This algorithm is a stochastic approximation of a continuous-time matrix exponential scheme which is further regularized by the addition of an entropy-like term to the problem's objective function ...
Gaujal, Bruno, Mertikopoulos, Panayotis
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Stability of hybrid stochastic retarded systems [PDF]
, 2008 -In the past few years, hybrid stochastic retarded systems (also known as stochastic retarded systems with Markovian switching), including hybrid stochastic delay systems, have been intensively studied. Among the key results, Mao et al.
Mao, X. +5 more
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Stochastic exponentials and logarithms on stochastic intervals — A survey [PDF]
Journal of Mathematical Analysis and Applications, 2019 Stochastic exponentials are defined for semimartingales on stochastic intervals, and stochastic logarithms are defined for semimartingales, up to the first time the semimartingale hits zero continuously. In the case of (nonnegative) local supermartingales, these two stochastic transformations are inverse to each other.
Larsson, Martin, Ruf, Johannes
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IEEE Access, 2022 Accurate drug-target interactions (DTIs) prediction can significantly speed up the process of new drug design and development. Recently, many matrix factorization methods have been used to predict DTIs.
Junjun Zhang, Minzhu Xie
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Food and Energy Security, 2022 China's food industry is a large energy consumer and carbon emitter due to its huge scale, so it cannot be ignored if China wants to achieve the goals of energy conservation, emission reduction, and clean production.
Xuan Xie, Ke Li
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