Results 21 to 30 of about 14,387 (264)
Dynamics of economic growth: Uncertainty treatment using differential inclusions
MethodsX, 2019 The article is focused on applications of the differential inclusions to the models of economic growth, rather than the model building. The models are taken from the known literature, and some modifications are introduced to reflect an additional inertia.
Stanislaw Raczynski
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Stochastic Quasi-Fej\'er Block-Coordinate Fixed Point Iterations with Random Sweeping [PDF]
, 2015 This work proposes block-coordinate fixed point algorithms with applications to nonlinear analysis and optimization in Hilbert spaces. The asymptotic analysis relies on a notion of stochastic quasi-Fej\'er monotonicity, which is thoroughly investigated ...
Combettes, Patrick L. +1 more
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Selfish Response to Epidemic Propagation [PDF]
, 2010 An epidemic spreading in a network calls for a decision on the part of the network members: They should decide whether to protect themselves or not. Their decision depends on the trade-off between their perceived risk of being infected and the cost of ...
Baras, John S. +2 more
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Optimal solutions to stochastic differential inclusions [PDF]
Applicationes Mathematicae, 2002 The main aim of this paper is to establish an existence theorem for the optimal weak solution \(\xi^{\ast}\) of the following problem: \[ \begin{split} E \int_{0}^{T} h(t,\xi^{\ast}_{t} ) \, dt & = \sup_{\xi} E \int_{0}^{T} h(t, \xi_{t} ) \, dt \\ \text{s.t.} \quad d\xi_{t} & \in F(t,\xi_{t} ) \, dt + G(t, \xi_{t} ) \, dW_{t} \\ P^{\xi_{0}}& = \mu ...
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THE BOUNDEDNESS OF SOLUTIONS FOR STOCHASTIC DIFFERENTIAL INCLUSIONS [PDF]
Bulletin of the Korean Mathematical Society, 2003 Let \((\Omega,{\mathcal F},P)\) be a complete probability with a right-continuous increasing family \(({\mathcal F_t})_{t\geq 0}\) of \(\sigma\)-fields each containing all \(P\)-nul sets. Let \(B= (B_t)_{t\geq 0}\) be an \(r\)-dimensional \(({\mathcal F}_t)\)-Brownian motion.
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A market model: uncertainty and reachable sets
International Journal for Simulation and Multidisciplinary Design Optimization, 2015 Uncertain parameters are always present in models that include human factor. In marketing the uncertain consumer behavior makes it difficult to predict the future events and elaborate good marketing strategies.
Raczynski Stanislaw
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Expectation Propagation for Nonlinear Inverse Problems -- with an Application to Electrical Impedance Tomography [PDF]
, 2013 In this paper, we study a fast approximate inference method based on expectation propagation for exploring the posterior probability distribution arising from the Bayesian formulation of nonlinear inverse problems. It is capable of efficiently delivering
Gehre, Matthias, Jin, Bangti
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Journal of Mathematical Analysis and Applications, 2013 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Malinowski, Marek T., Michta, Mariusz
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Asynchronous Optimization Methods for Efficient Training of Deep Neural Networks with Guarantees
, 2020 Asynchronous distributed algorithms are a popular way to reduce synchronization costs in large-scale optimization, and in particular for neural network training.
Alistarh, Dan +3 more
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Vestnik Samarskogo Gosudarstvennogo Tehničeskogo Universiteta. Seriâ: Fiziko-Matematičeskie Nauki, 2017 Notion of mean derivatives was introduced by Edward Nelson for the needs of stochastic mechanics (a version of quantum mechanics). Nelson introduced forward and backward mean derivatives while only their half-sum, symmetric mean derivative called current
Alla V Makarova +2 more
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