Monotone Random Systems Theory and Applications

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Attractors of non-autonomous stochastic lattice systems in weighted spaces (2014, neutral): “, [25, 26, 40, 47, 53].”
Existence and continuity of bi-spatial random attractors and application to stochastic semilinear Laplacian equations (2015, background): “2) Recall that a set-mapping D :Ω → 2 is called a random set (or an F -measurable set) in X if ω → dX(x, D(ω)) is F -measurable for each x ∈ X (see [8,13–15]).”
Manufacturing Consent (2015, background): “, the developments of [18] may be possible.”
Persistence for stochastic difference equations: a mini-review (2011, background): “The speed at which this review becomes hopelessly outdated may be the best measurement of its success.”
Empirical Dynamic Programming (2013, background): “We note that there is an extant theory of monotone random operators developed in the context of random dynamical systems [15] but the techniques for convergence analysis of random operators is not relevant to our context.”