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(CSV)
Filters
Language:
  • Funder (5)
  • Project (8)
  • Publication Date (28)
  • Access Mode (3)
  • Type (6)
  • Language (1)
  • Content Provider (21)
  • Collected From (18)
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1,139 publications, page 1 of 114
  • Other literature type ENG UNKNOWN
    Bovier, Anton; Eckhoff, Michael; Gayrard, Véronique; Klein, Markus;
    (2002)
    Publisher: Weierstrass Institute
    We develop a potential theoretic approach to the problem of metastability for reversible diffusion processes in potentials F given by a smooth function with finitely many local minima. In analogy to previous work in discrete Markov chains, we show that metastable exit t...
  • Other literature type ENG UNKNOWN
    Milstein, Grigori N.; Tretyakov, Michael V.;
    (1998)
    Publisher: Weierstrass Institute
    Constructive sufficient conditions for regular oscillations in systems with stochastic resonance are given. For bistable systems, they rely on the fact that the probability of transition of a point from one well to the other with subsequent stay there during the half-...
  • Other literature type ENG UNKNOWN
    Fleischmann, Klaus; Sturm, Anja;
    (2003)
    Publisher: Weierstrass Institute
    Impressed by Neveu's (1992) continuous-state branching process we learned about from Bertoin and Le Gall (2000), a class of finite measure-valued càdlàg superprocesses X with Neveu's branching mechanism is constructed. To this end, we start from certain supercritical (α...
  • Other literature type ENG UNKNOWN
    Dreyer, Wolfgang; Friz, Peter; Gajewski, Paul; Guhlke, Clemens; Maurelli, Mario;
    (2016)
    Publisher: Weierstrass Institute
    In the framework of non-equilibrium thermodynamics we derive a new model for porous electrodes. The model is applied to LiFePO4 (LFP) electrodes consisting of many LFP particles of nanometer size. The phase transition from a lithium-poor to a lithium-rich phase within L...
  • Other literature type ENG UNKNOWN
    Olmi, Simona; Angulo-Garcia, David; Imparato, Alberto; Torcini, Alessandro;
    (2017)
    Publisher: Weierstrass Institute
    Neurons in the intact brain receive a continuous and irregular synaptic bombardment from excitatory and inhibitory pre-synaptic neurons, which determines the firing activity of the stimulated neuron. In order to investigate the influence of inhibitory stimulation on the...
  • Other literature type ENG UNKNOWN
    Rjasanow, Sergej; Wagner, Wolfgang;
    (1997)
    Publisher: Weierstrass Institute
    The DSMC (direct simulation Monte Carlo) method for rarefied gas dynamics is studied. The behaviour of the underlying stochastic particle system is determined by three main components - the time step between subsequent collisions, the random mechanism for the choice of ...
  • Other literature type ENG UNKNOWN
    Härterich, Jörg; Wolfrum, Matthias;
    (2002)
    Publisher: Weierstrass Institute
    We study a singularly perturbed scalar reaction-diffusion equation on a bounded interval with a spatially inhomogeneous bistable nonlinearity. For certain nonlinearities, which are piecewise constant in space on 푘 subintervals, it is possible to characterize all station...
  • Other literature type ENG UNKNOWN
    Albers, Bettina;
    (1999)
    Publisher: Weierstrass Institute
    The paper contains a macroscopic continuum model of adsorption in porous materials consisting of three components. We consider the flow of a fluid/adsorbate mixture through channels of a solid component. The fluid serves as carrier for an adsorbate whose mass balance eq...
  • Other literature type ENG UNKNOWN
    Klein, Olaf; Philip, Peter; Sprekels, Jürgen; Wilmański, Krzysztof;
    (2000)
    Publisher: Weierstrass Institute
    This article presents transient numerical simulations of heat transfer occurring during sublimation growth of SiC single crystals via the Modified Lely Method, investigating the respective influence of radiative and convective contributions. We give a concise treatment ...
  • Other literature type ENG UNKNOWN
    Belomestny, Denis; Schoenmakers, John G.M.; Spokoiny, Vladimir; Tavyrikov, Yuri;
    (2018)
    Publisher: Weierstrass Institute
    In this note we propose a new approach towards solving numerically optimal stopping problems via boosted regression based Monte Carlo algorithms. The main idea of the method is to boost standard linear regression algorithms in each backward induction step by adding new ...
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