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Gotowe bibliografie tematyczne / GRADIENT COMPUTATION

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Gotowa bibliografia na temat „GRADIENT COMPUTATION”

Autor: Grafiati

Data publikacji: 11 września 2023

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Rozprawy doktorskie na temat "GRADIENT COMPUTATION"

1

Qiao, Lei Ph D. Massachusetts Institute of Technology. "Variational constitutive updates for strain gradient isotropic plasticity." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/55079.

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Thesis (S.M.)--Massachusetts Institute of Technology, Computation for Design and Optimization Program, 2009.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 93-96).<br>In the past decades, various strain gradient isotropic plasticity theories have been developed to describe the size-dependence plastic deformation mechanisms observed experimentally in micron-indentation, torsion, bending and thin-film bulge tests in metallic materials. Strain gradient plasticity theories also constitute a convenient device to introduce ellipticity in the differential equation

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Damou, Merzak. "Measurement and computation of a turbulent jet in an axial pressure gradient." Thesis, University of Manchester, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.305418.

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Sitta, Alessandro. "Privacy-Preserving Distributed Optimization via Obfuscated Gradient Tracking." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021.

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As the modern world becomes increasingly digitized and interconnected, distributed systems have proven to be effective in the processing of large volumes of data. In this context, optimization techniques have become essential in an extensive range of domains. However, a major concern, regarding the privacy issue in handling sensitive data, has recently emerged. To address this privacy issue we propose a novel consensus-based privacy-preserving distributed optimization algorithm called Obfuscated Gradient Tracking. The algorithm is characterized by a balanced noise insertion method which prot

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Al-Mudhaf, Ali F. "A feed forward neural network approach for matrix computations." Thesis, Brunel University, 2001. http://bura.brunel.ac.uk/handle/2438/5010.

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A new neural network approach for performing matrix computations is presented. The idea of this approach is to construct a feed-forward neural network (FNN) and then train it by matching a desired set of patterns. The solution of the problem is the converged weight of the FNN. Accordingly, unlike the conventional FNN research that concentrates on external properties (mappings) of the networks, this study concentrates on the internal properties (weights) of the network. The present network is linear and its weights are usually strongly constrained; hence, complicated overlapped network needs to

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Sautter, Rubens Andreas. "Gradient Pattern Analysis: New methodological and computational features with applications." Instituto Nacional de Pesquisas Espaciais (INPE), 2018. http://urlib.net/sid.inpe.br/mtc-m21c/2018/05.07.12.09.

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Neste trabalho é apresentado a Análise de Padrões Gradientes (no inglês GPA), um formalismo que descreve operadores para a análise de matrizes, por meio da simetria. Com o objetivo de analisar bases de dados extensas, neste trabalho é proposto o refinamento da versão mais popular do GPA, a respeito da medida e da complexidade computacional. Neste estudo é apresentado todos os momentos gradiente, e testado o primeiro e segundo momento gradiente (respectivamente G1 e G2). A fim de testar o refinamento das técnicas G1 e G2 é apresentado os casos de estudos: (i) um estudo de caso dinâmicos em Grad

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Chauffour, Marie-Laure. "Shock-based waverider design with pressure gradient corrections and computational simulations." College Park, Md. : University of Maryland, 2004. http://hdl.handle.net/1903/1829.

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Thesis (M.S.) -- University of Maryland, College Park, 2004.<br>Thesis research directed by: Dept. of Aerospace Engineering. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.

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7

Fischer, Paul [Verfasser], and Paul [Akademischer Betreuer] Steinmann. "C1 Continuous Methods in Computational Gradient Elasticity / Paul Fischer. Betreuer: Paul Steinmann." Erlangen : Universitätsbibliothek der Universität Erlangen-Nürnberg, 2011. http://d-nb.info/1015783635/34.

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Miles, Alexander, William Duncan, Brian Klug, and Colton Holmes. "Rapid Prototyped Terahertz-Domain Gradient Index Optics: Computational Design, Simulation, and Manufacture." International Foundation for Telemetering, 2011. http://hdl.handle.net/10150/595744.

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ITC/USA 2011 Conference Proceedings / The Forty-Seventh Annual International Telemetering Conference and Technical Exhibition / October 24-27, 2011 / Bally's Las Vegas, Las Vegas, Nevada<br>There are a myriad of applications for terahertz radiation: security, military radar, product inspection, and telecommunications. These require manipulation of the radiation beyond simple transmission and detection, namely refraction: focusing, defocusing, and collimation. The current state of the art fabrication of terahertz lenses is an expensive and time consuming processes; involving high purity semicon

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Thill, Serge. "A computational analysis of the gradient navigation strategies of the nematode Caenorhabditis elegans." Thesis, University of Leicester, 2008. http://hdl.handle.net/2381/4014.

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In the present thesis, we apply computational methods to the study of animal behaviour. Specifically, we are interested in the gradient navigation strategies of C. elegans, for which we show that there are many interesting questions that have not yet been answered by existing research. In order to study the behaviour of C. elegans, we first develop a range of tools to help us do so. We base a large part of our work on Markov-like models of behaviour and since these are not Markovian in the strict sense (limiting the analytical tools which can be used to study their behaviour), we first present

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10

Norris, Michael K. "INCORPORATING HISTOGRAMS OF ORIENTED GRADIENTS INTO MONTE CARLO LOCALIZATION." DigitalCommons@CalPoly, 2016. https://digitalcommons.calpoly.edu/theses/1629.

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This work presents improvements to Monte Carlo Localization (MCL) for a mobile robot using computer vision. Solutions to the localization problem aim to provide fine resolution on location approximation, and also be resistant to changes in the environment. One such environment change is the kidnapped/teleported robot problem, where a robot is suddenly transported to a new location and must re-localize. The standard method of "Augmented MCL" uses particle filtering combined with addition of random particles under certain conditions to solve the kidnapped robot problem. This solution is robust,

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