[PDF] Top 20 The algorithm for the analysis of combined chaotic-stochastic processes
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The algorithm for the analysis of combined chaotic-stochastic processes
... Institute of Applied System Analysis, National Technical University of Ukraine Abstract Many physical, chemical or sometimes financial phenomena are considered as being only chaotic, or purely ... Voir le document complet
9
Regret analysis of the Piyavskii-Shubert algorithm for global Lipschitz optimization
... (x) for all x ∈ D). The next point x k+1 is chosen as an approximate maximizer of b f k .... The intuition is that such a point x k+1 may either correspond to an approximate maximizer ... Voir le document complet
27
Stochastic analysis of point processes : beyond the Poisson process
... case of serious disasters, the compensation from remaining nodes and traffic rerouting might not be sufficient to provide service ...case, the cellular network needs a manual intervention: the ... Voir le document complet
187
Global sensitivity analysis for stochastic processes with independent increments
... Since the seminal work of Sudret [24], it quickly became obvious that using Polynomial Chaos expansion as meta-model was one of the most straightfor- ward and efficient way of computing ... Voir le document complet
21
Convergence and Dynamical Behavior of the Adam Algorithm for Non Convex Stochastic Optimization
... words. Stochastic approximation with constant step, Dynamical systems, Weak conver- gence of stochastic ...Consider the problem of finding a local minimizer of the ex- ... Voir le document complet
29
Stochastic Alignment Processes
... where the goal is to maintain a com- mon notion of time in the absence of a global source of real ...time. The main difficulty is handling the fact that clocks count time ... Voir le document complet
24
An Average-case Analysis of the Gaussian Algorithm for Lattice Reduction
... An Average-case Analysis of the Gaussian Algorithm for Lattice Reduction Hervé Daudé, Philippe Flajolet, Brigitte Vallée.. To cite this version: Hervé Daudé, Philippe Flajolet, Brigitte [r] ... Voir le document complet
33
Perfect sampling algorithm for Schur processes
... illustration of the correspondence. The encoded shape is a staircase partition, ...since the number of tilings is bounded, there are no convergence issues and one can get any general ... Voir le document complet
27
Non-asymptotic convergence analysis for the Unadjusted Langevin Algorithm
... to the Lebesgue measure, known up to a normalisation ...on the Euler discretization of the overdamped Langevin stochastic differential equation associated with ...π. For both ... Voir le document complet
37
Properties of the Stochastic Approximation EM Algorithm with Mini-batch Sampling
... function of the number of epochs for different values of the proportion ...is the average number of iterations required to update n latent ...iterations of ... Voir le document complet
17
Markovian Projection of Stochastic Processes
... on the set of Markov processes. In the martingale case, the Markovian projection problem is related to the problem of constructing martingales with a given flow of ... Voir le document complet
190
Non-central limit theorem for the cubic variation of a class of selfsimilar stochastic processes
... model the phenomena. Natural candidates are the Hermite processes: these stochastic processes appear as limits in the so-called Non-Central Limit Theorem (see [3], [7], [18], ... Voir le document complet
23
Combined stochastic and transfer model for atmospheric radiation
... to the upper passive medium, for which the optical thickness is presumed ...constant. The particular choice of clear-sky model is not prescribed in this paper, since attention is ... Voir le document complet
12
Comparative analysis of stochastic and non-stochastic methods for the evaluation of uncertainties in simulated and experimental data
... validation of real structures remains a major issue, not only because of their complexity but also due to their un- certain ...numerical stochastic and non-stochastic methods have been ... Voir le document complet
3
Multiple GCD's. Probabilistic analysis of the plain algorithm
... Plan of the paper. Sections 2, 3, 4 are devoted to the polynomial case, and Section 5 to the integer ...describes the algorithm and states the main results, then, Sections ... Voir le document complet
11
Exactly Solvable Stochastic Processes for Traffic Modelling
... properties of our models are as expected, much more dif- ficult to account for, as full integrability seems to be associated to oversim- plified assumptions, although the integrable family of ... Voir le document complet
32
Tolerance requirements revisited for the calibration of chaotic reverberation chambers
... used for electromagnetic compatibility (EMC) tests [ 1 ...to the modal overlap resulting from loss mechanisms, the result- ing field is assumed to be statistically isotropic, uniform and ...to ... Voir le document complet
5
Descent algorithm for nonsmooth stochastic multiobjective optimization
... parameters. The gradient al- gorithm has been generalized to take into account uncertainties when they are modelled as random ...convergence of the stochastic gradient al- gorithm can be shown ... Voir le document complet
16
The chaotic obliquity of Mars
... decomposition of the orbit of Mars the reso- nances corresponding to the components of the multiplet near the second inclination mode are not isolated: the ... Voir le document complet
85
A smoothing stochastic algorithm for quantile estimation
... Although, the kernel estimator can be preferable to the sample estimator, it suffers from computational ...expression for the inverse of the kernel distribution function ...as ... Voir le document complet
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