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Bibliographies thématiques / Processes and schemes

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Littérature scientifique sur le sujet « Processes and schemes »

Auteur : Grafiati

Publié le 10 mars 2023

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Thèses sur le sujet "Processes and schemes"

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Mina, Francesco. "On Markovian approximation schemes of jump processes." Thesis, Imperial College London, 2014. http://hdl.handle.net/10044/1/48049.

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The topic of this thesis is the study of approximation schemes of jump processes whose driving noise is a Levy process. In the first part of our work we study properties of the driving noise. We present a novel approximation method for the density of a Levy process. The scheme makes use of a continuous time Markov chain defined through a careful analysis of the generator. We identify the rate of convergence and carry out a detailed analysis of the error. We also analyse the case of multidimensional Levy processes in the form of subordinate Brownian motion. We provide a weak scheme to approxima

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Nüsken, Nikolas. "Topics in sampling schemes based on Markov processes." Thesis, Imperial College London, 2018. http://hdl.handle.net/10044/1/63868.

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In this thesis we consider several topics related to the construction of optimal Markovian dynamics in the context of sampling from high-dimensional probability distributions. Firstly, we introduce and analyse Langevin samplers that consist of perturbations of the standard overdamped and underdamped Langevin dynamics. The perturbed dynamics is such that its invariant measure is the same as that of the unperturbed dynamics. We show that appropriate choices of the perturbations can lead to samplers that have improved properties, at least in terms of reducing the asymptotic variance. We present a

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Beaumont, David. "St. Peter's Cathedral, Adelaide : processes provenances and architectural schemes /." Title page, contents and introduction only, 1997. http://web4.library.adelaide.edu.au/theses/09ARCHSB/09archsbb379.pdf.

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Karimi, Pour Fatemeh. "Health-aware predictive control schemes based on industrial processes." Doctoral thesis, TDX (Tesis Doctorals en Xarxa), 2020. http://hdl.handle.net/10803/673045.

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The research is motivated by real applications, such as pasteurization plant, water networks and autonomous system, which each of them require a specific control system to provide proper management able to take into account their particular features and operating limits in presence of uncertainties related to their operation and failures from component breakdowns. According to that most of the real systems have nonlinear behaviors, it can be approximated them by polytopic linear uncertain models such as Linear Parameter Varying (LPV) and Takagi-Sugeno (TS) models. Therefore, a new economic Mod

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Chang, Peter W., and Peter W. Chang. "Analysis of contracting processes, internal controls, and procurement fraud schemes." Monterey, California: Naval Postgraduate School, 2013. http://hdl.handle.net/10945/34642.

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Approved for public release; distribution is unlimited<br>Approved for public release; distribution is unlimited<br>Contracting continues to play an important role in the Department of Defense (DoD) as a means to acquire a wide array of systems, supplies, and services. More than half of DoDs budget is spent through contracts. With these large dollars spent comes the possibility of fraud in contracting that can subvert the process causing waste and possibly impeding mission accomplishment. The purpose of this research was to analyze DoDs contracting workforces level of fraud knowledge, accordin

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Krishnamurthy, Shalini B. "Relaxation schemes for multiphase, multicomponent flow in gas injection processes /." May be available electronically:, 2008. http://proquest.umi.com/login?COPT=REJTPTU1MTUmSU5UPTAmVkVSPTI=&clientId=12498.

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Edward, Viktor. "Quantization of stochastic processes with applications on Euler-Maruyama schemes." Thesis, Uppsala universitet, Avdelningen för beräkningsvetenskap, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-264878.

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This thesis investigates so called quantizations of continuous random variables. A quantization of a continuous random variables is a discrete random variable that approximates the continuous one by having similar properties, often by sharing weak convergence. A measure on how well the quantization approximates the continuous variable is introduced and methods for generating quantizations are developed. The connection between quantization of the normal distribution and the Hermite polynomials is discussed and methods for generating optimal quantizations are suggested. An observed connection be

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Kant, Latha Arun. "Analysis of cell-loss processes and restoration schemes in ATM networks." Diss., The University of Arizona, 1996. http://hdl.handle.net/10150/282222.

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The success of the emerging ATM networks depends both on switch performance at the cell level and routing strategies at the call level. In this dissertation, we address both issues. At the cell level, we propose a measure that captures cell loss behavior and analyze ATM switch performance by computing the distribution of consecutive cell losses. The extremely low loss probability requirements of an ATM switch preclude the use of simulation, calling for the use of analytic and numerical methods. The latter methods involve the construction and solution of the underlying stochastic processes asso

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Cvetkovic, Nada [Verfasser]. "Convergent discretisation schemes for transition path theory for diffusion processes / Nada Cvetkovic." Berlin : Freie Universität Berlin, 2020. http://d-nb.info/1204924570/34.

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Chandramouli, Yegnanarayanan. "Data-analytic and monitoring schemes for a class of discrete point processes." Diss., The University of Arizona, 1991. http://hdl.handle.net/10150/185347.

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A point process model for the packet stream arising in teletraffic processes is the discrete, non-negative integer-valued, stationary process introduced by Neuts and Pearce. In this thesis, we examine an empirical approach to develop a monitoring scheme for that point process. Monitoring is a procedure of tracking a stochastic process to identify quickly the development of anomalous situations in the evolution of that process and detect their assignable causes. Further, a data-analytic scheme to evaluate the order of a Markov chain that quantifies the local dependence embedded in the point pro

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