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Stochastic Averages - Classical and Noise Fields

Stochastic Theory of the Classical Molecular Dynamics Method

Stochastic Theory of the Classical Molecular Dynamics Method

... the noise of the numerical integration can be compared with the real noise in physical systems (see below), the time also appears to be a physical characteristic although less is so far known about its ...

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Large Deviations for Nonlocal Stochastic Neural Fields

Large Deviations for Nonlocal Stochastic Neural Fields

... additive noise on integro-differential neural field ...on noise-induced transitions and ...neural fields poses substantial difficulties, but that one may transfer techniques from stochastic ...

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Dynamical model for the quantum to classical crossover of shot noise

Dynamical model for the quantum to classical crossover of shot noise

... INTRODUCTION Noise plays a uniquely informative role in connection with the particle-wave ...shot noise in quantum dots to explore the crossover from particle to wave ...is stochastic and ...one ...

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Noise-resilient variational hybrid quantum-classical optimization

Noise-resilient variational hybrid quantum-classical optimization

... devices noise is unavoidable and impossible to error-correct, yet its role in the optimization process is not much understood, especially from the theoretical ...of noise and the stochastic nature of ...

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Stochastic fluid dynamics equations with multiplicative noise

Stochastic fluid dynamics equations with multiplicative noise

... of stochastic processes, are extended in this ...and stochastic integrals in Hilbert spaces and the proof of classical results like Ito formula and Girsanov transform in this ...the stochastic ...

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Stochastic partial differential equations with fractal noise

Stochastic partial differential equations with fractal noise

... Also the fractional Brownian motion is a.s. nowhere differentiable, but it is known to be a.s. H 0 -H¨ older continuous for any 0 < H 0 < H. The standard Brownian motion appears for H = 1/2, the only case where the ...

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Stochastic physical models for wind fields and precipitation extremes

Stochastic physical models for wind fields and precipitation extremes

... tremes. This is consistent with Wilson and Toumi (2005) who show that the product of Gaussian variables are approximated unsatisfactorily by their light-tailed limit. Similar to Wilson and Toumi (2005)’s approach and the ...

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Classical quantum crossover in magnetic stochastic resonance in uniaxial superparamagnets

Classical quantum crossover in magnetic stochastic resonance in uniaxial superparamagnets

... magnetic stochastic resonance of a quantum uniaxial paramagnet of arbitrary spin value S subjected to a weak probing ac field H ( t ) = H cos t and a dc bias magnetic field H 0 displays a pronounced dependence on ...

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Adaptive Stochastic Systems: Estimation, Filtering, And Noise Attenuation

Adaptive Stochastic Systems: Estimation, Filtering, And Noise Attenuation

... (possibly stochastic), y n ∈ R are the corresponding observation signals, e n ∈ R is a sequence of zero-mean error signals (noise), and α n is the time-varying parameter ...in classical statis- tics ...

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Stochastic partial differential equations driven by colored noise

Stochastic partial differential equations driven by colored noise

... Gaussian noise with some general time and spatial covariance structure, that is E( ˙ W (s, x) ˙ W (t, y)) = γ(s − t)Λ(x − y) , where γ and Λ are some positive and positive definite ...random fields ([41, ...

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CiteSeerX — CLASSICAL PION FIELDS IN THE PRESENCE OF SOURCE

CiteSeerX — CLASSICAL PION FIELDS IN THE PRESENCE OF SOURCE

... Abstract Classical pion field similar to Disoriented Chiral Condensate (DCC) is considered in the presence of the external ...the classical field solutions in the nonlinear sigma-model both in the chiral ...

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Quantum spin dynamics in external classical fields

Quantum spin dynamics in external classical fields

... 3 Bogoliubov Laboratory of Theoretical Physics, Joint Institute for Nuclear Research, Dubna 141980, Russia 4 National Research Nuclear University “MEPhI”, Kashirskoe Shosse 31, 115409 Moscow, Russia Abstract. We study ...

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The stochastic geometry of non-Gaussian fields

The stochastic geometry of non-Gaussian fields

... Gaussian fields have, regardless of their spectra, certain properties in ...their stochastic geometry, which provide a very low-key and robust measuring ...

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AVERAGES. Averages As Of June 1, 2020

AVERAGES. Averages As Of June 1, 2020

... FINAL AVERAGES Starting on page 22, you will find the final averages as of June 1, 2020 for the 2019-2020 winter season for 21 games or more in a sanctioned ...
Stochastic Schrödinger equations with coloured noise

Stochastic Schrödinger equations with coloured noise

... and stochastic master equations has been ...white noise theory has been extended by introducing some coloured ...U noise, are encoded in the definition of the random operators which define either the ...
Alternatives to the stochastic “noise vector” approach

Alternatives to the stochastic “noise vector” approach

... (z k 1 − A) −1 with z k = c + r e 2πi N k (7) where the trace is estimated using noise vectors. The so-obtained value of µ(r, c) will be nearly an integer equal to the number of eigenvalues inside the circle. One ...

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Postmodern Apocalypse in  White Noise and London Fields

Postmodern Apocalypse in White Noise and London Fields

... White Noise, Murray who is Jack’s new colleague at university has a large and complex ...White Noise”, LeClair describes Murray as “deciphering, rearranging, pulling off the layers of unspeakability in ...

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Active control of outgoing noise fields in rooms

Active control of outgoing noise fields in rooms

... function, showing that a multipole source array can cancel the far-field sound generated by a monopole source. 4 Later on, the room mode concept was introduce into ANC sys- tems. 5,6 The room modes are eigenfunctions of ...

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Radio noise fields of corona on power lines

Radio noise fields of corona on power lines

... UNiVEPSTY Of CA~TERBURT. CHRISTCHURCH.[r] ...

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PAC-Bayes Risk Bounds for Stochastic Averages and Majority Votes of Sample-Compressed Classifiers

PAC-Bayes Risk Bounds for Stochastic Averages and Majority Votes of Sample-Compressed Classifiers

... the stochastic average of these classifiers would represent the typical perceptron that we would obtain by choosing at random a permutation of the training sequence ...this stochastic Gibbs classifier would ...

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