Dissertations / Theses on the topic 'Discretization'
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Yang, Ying. "Discretization for Naive-Bayes learning." Monash University, School of Computer Science and Software Engineering, 2003. http://arrow.monash.edu.au/hdl/1959.1/9393.
Full textNucinkis, Daniel. "A discretization of quasiperiodic motion." Thesis, Queen Mary, University of London, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.265698.
Full textBöhm, Walter, and Sri Gopal Mohanty. "Discretization of Markovian Queueing Systems." Department of Statistics and Mathematics, WU Vienna University of Economics and Business, 1990. http://epub.wu.ac.at/140/1/document.pdf.
Full textSeries: Forschungsberichte / Institut für Statistik
Sugiyama, Mahito. "Studies on Computational Learning via Discretization." 京都大学 (Kyoto University), 2012. http://hdl.handle.net/2433/157472.
Full textBauer, David. "Towards Discretization by Piecewise Pseudoholomorphic Curves." Doctoral thesis, Universitätsbibliothek Leipzig, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-132065.
Full textPavlov, Dmitry Marsden Jerrold E. Marsden Jerrold E. Desbrun Mathieu. "Structure-preserving discretization of incompressible fluids /." Diss., Pasadena, Calif. : California Institute of Technology, 2009. http://resolver.caltech.edu/CaltechETD:etd-05222009-125630.
Full textWang, Bin, and s3115026@student rmit edu au. "On Discretization of Sliding Mode Control Systems." RMIT University. Electrical and Computer Engineering, 2008. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20080822.145013.
Full textChen, Heli. "The quadrature discretization method and its applications." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape15/PQDD_0002/NQ34540.pdf.
Full textHo, Colin Kok Meng. "Discretization and defragmentation for decision tree learning." Thesis, University of Essex, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.299072.
Full textANDRADE, SELENE DIAS RICARDO DE. "A COMPARISON BETWEEN DISCRETIZATION METHODS FOR CONTROLLERS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 1999. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=1017@1.
Full textEsta dissertação apresenta uma comparação entre técnicas de discretização de controladores, considerando diferentes estruturas de controle. Os tipos de sistemas estudados neste trabalho de pesquisa serão sistemas lineares, invariantes no tempo, determinísticos, causais e monovariáveis. O desempenho das técnicas de discretização serão comparados via figuras de mérito tradicionais, considerando os métodos de discretização, as estruturas dos controladores e os tipos de planta habituais (incluindo problemas benchmarch), sob especificações dadas quanto aos regimes permanente e transiente.
This essay proposes a comparison between techniques of controllers´ discretization considering different controlling structures. The types of systems studied in this research will be linear systems, time-invariant, deterministic, casual and single-variable. The performance of discretization techniques will be compared through figures of traditional aptitude, considering the discretization methods, the controller structures and the kinds of plants (including - benchmarch - problems), under given specifications according to permanent and transitory systems.
Esta disertación presenta una comparación entre técnicas de discretización de controladores, considerando diferentes extructuras de control. Los tipos de sistemas estudiados en este trabajo de investigación son sistemas lineales, invariantes en el tiempo, determinísticos, causales y univariados. Se compara el desempeño de las técnicas de discretización utilizando figuras de mérito tradicionales, considerando los métodos de discretización, las extructuras de los controladores y los tipos de planta habituales (incluyendo problemas - benchmarch - ), bajo especificaciones dadasen relación a los régimenes permanente y transiente.
Botti, Michele. "Advanced polyhedral discretization methods for poromechanical modelling." Thesis, Montpellier, 2018. http://www.theses.fr/2018MONTS041/document.
Full textIn this manuscript we focus on novel discretization schemes for solving the coupled equations of poroelasticity and we present analytical and numerical results for poromechanics problems relevant to geoscience applications. We propose to solve these problems using Hybrid High-Order (HHO) methods, a new class of nonconforming high-order methods supporting general polyhedral meshes. This Ph.D. thesis was conjointly founded by the Bureau de recherches géologiques et minières (BRGM) and LabEx NUMEV. The coupling between subsurface flow and geomechanical deformation is a crucial research topic for both cofunding institutions
Willquist, André. "Uncertainty Discretization for Motion Planning Under Uncertainty." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-170496.
Full textBürgler, Josef Franz. "Discretization and grid adaptation in semiconductor device modeling /." [S.l.] : [s.n.], 1990. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=9146.
Full textDe, Rango Stan. "Higher-order spatial discretization for turbulent aerodynamic flows." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp05/NQ63580.pdf.
Full textWindholz, Thomas. "Strategies for Handling Spatial Uncertainty due to Discretization." Fogler Library, University of Maine, 2001. http://www.library.umaine.edu/theses/pdf/Windholz.pdf.
Full textNguyen, Thu Huong. "Strong Stability Preserving Hermite-Birkhoff Time Discretization Methods." Thèse, Université d'Ottawa / University of Ottawa, 2012. http://hdl.handle.net/10393/23491.
Full textAlimin, E. K. "Dissipation and discretization in time marching CFD calculation." Thesis, Cranfield University, 1995. http://hdl.handle.net/1826/4021.
Full textAngoshtari, Arzhang. "Geometric discretization schemes and differential complexes for elasticity." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/49026.
Full textRAMOS, MARCIA DA ROCHA. "A STUDY OF DISCRETIZATION METHODS TO CONTROL ENGINEERING." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 1997. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=8783@1.
Full textEste trabalho apresenta um estudo sobre métodos de discretização aplicados à engenharia de Controle. É feita uma revisão dos sistemas lineares de controle discreto, ressaltando suas principais propriedades, assim como suas respostas no tempo e na freqüência. Também são apresentadas as figuras de mérito, que servirão como base de comparação de desempenho dos sistemas, e os tipos de conversores de sinais utilizados. O experimento é então apresentado e são discutidos todos os procedimentos para a sua realização através de um exemplo. Os controladores utilizados são apresentados e suas funções de transferências são fornecidas para sua posterior discretização. Finalmente são listados os resultados obtidos nas simulações utilizando tabelas e gráficos comparativos.
This work presents a study of some discretization methods applied to Control Engineering. A review of discrete control linear systems, their properties and reponses in the and frequency domains are presented, as well as the figures, used to compare their performances, and the signal conversors used in this work. The experiment, the procedures, the controllers and their transfer functions are shown and the simulations results are presented in tables and graphics.
Schraeder, Daniela. "Analytically divergence-free discretization methods for Darcy's problem." Thesis, University of Sussex, 2010. http://sro.sussex.ac.uk/id/eprint/2327/.
Full textMcGrory, William Dandridge. "Generalized spatial discretization techniques for space-marching algorithms." Diss., Virginia Tech, 1991. http://hdl.handle.net/10919/37228.
Full textGautham, Tejaswini. "Residual-Based Discretization Error Estimation for Unsteady Flows." Thesis, Virginia Tech, 2020. http://hdl.handle.net/10919/96400.
Full textMaster of Science
Computational fluid dynamics (CFD) is a tool that is widely used in most industries today. It is used to understand complex flows that are difficult to replicate using experimental techniques or by theoretical methods. It is important to have rigorous techniques to estimate the error produced when using CFD even when the exact solution is not available for comparison. This paper develops techniques to estimate discretization error for unsteady flows. Discretization error has one of the largest error magnitudes in CFD solutions. The exact physics dictates the use of continuous equations but to apply CFD techniques, the continuous equations have to be converted to discrete equations. Truncation error is, the error obtained when converting the continuous equations to discrete equations. This truncation error is in turn, the local source term for discretization error. To reduce the discretization error in the discrete equations, the exact or estimated truncation error is either added as a source term to the discrete equations or is used along with the error transport equation to get a better estimate of the solutions. A framework to obtain exact truncation error and estimated truncation error is also presented. The framework is first applied to the steady equations and is verified with results from previous studies and is then extended to the unsteady flows.
Hüeber, Stefan. "Discretization techniques and efficient algorithms for contact problems." [S.l. : s.n.], 2008. http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-36087.
Full textStern, Ari Marsden Jerrold E. Marsden Jerrold E. Desbrun Mathieu. "Geometric discretization of Lagrangian mechanics and field theories /." Diss., Pasadena, Calif. : Caltech, 2009. http://resolver.caltech.edu/CaltechETD:etd-12312008-173851.
Full textSeufer, Ingo. "Generalized inverses of differential-algebraic equations and their discretization." [S.l.] : [s.n.], 2006. http://deposit.ddb.de/cgi-bin/dokserv?idn=980230306.
Full textKaphle, Manindra. "Simulations of human movements through temporal discretization and optimization." Licentiate thesis, KTH, Mechanics, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4585.
Full textStudy of physical phenomena by means of mathematical models is common in various branches of engineering and science. In biomechanics, modelling often involves studying human motion by treating the body as a mechanical system made of interconnected rigid links. Robotics deals with similar cases as robots are often designed to imitate human behavior. Modelling human movements is a complicated task and, therefore, requires several simplifications and assumptions. Available computational resources often dictate the nature and the complexity of the models. In spite of all these factors, several meaningful results are still obtained from the simulations.
One common problem form encountered in real life is the movement between known initial and final states in a pre-specified time. This presents a problem of dynamic redundancy as several different trajectories are possible to achieve the target state. Movements are mathematically described by differential equations. So modelling a movement involves solving these differential equations, along with optimization to find a cost effective trajectory and forces or moments required for this purpose.
In this study, an algorithm developed in Matlab is used to study dynamics of several common human movements. The main underlying idea is based upon temporal finite element discretization, together with optimization. The algorithm can deal with mechanical formulations of varying degrees of complexity and allows precise definitions of initial and target states and constraints. Optimization is carried out using different cost functions related to both kinematic and kinetic variables.
Simulations show that generally different optimization criteria give different results. To arrive on a definite conclusion on which criterion is superior over others it is necessary to include more detailed features in the models and incorporate more advanced anatomical and physiological knowledge. Nevertheless, the algorithm and the simplified models present a platform that can be built upon to study more complex and reliable models.
Rücker, Carsten. "Advanced Electrical Resistivity Modelling and Inversion using Unstructured Discretization." Doctoral thesis, Universitätsbibliothek Leipzig, 2011. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-69066.
Full textSermeus, Kurt. "Multi-dimensional upwind discretization and application to compressible flows." Doctoral thesis, Universite Libre de Bruxelles, 2013. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/209519.
Full textThe RD method constitutes a class of discretization schemes for hyperbolic systems
of conservation laws, which forms an attractive alternative to the more classical Finite Volume methods, particularly since it allows better representation of the flow physics by genuinely multi-dimensional upwinding and offers second-order accuracy on a compact stencil.
Despite clear advantages of RD schemes, they also have some unexpected anomalies in common with Finite Volume methods and an attempt to resolve them is presented. The most notable anomaly is the violation of the entropy condition, which as a consequence allows unphysical expansion shocks to exist in the numerical solution. In the thesis the genuinely multi-dimensional character of this anomaly is analyzed and a multi-dimensional entropy fix is presented and shown to avoid expansion shocks. Another infamous anomaly is the carbuncle phenomenon, an instability observed in many numerical solutions with strong shocks, such as the bow shock on a blunt body in hypersonic flow. The occurence of the carbuncle phenomenon with RD methods is analyzed and a novel formulation for a shock fix, based on an anisotropic diffusion term added in the shock layer, is presented and shown to cure the anomaly in 2D and 3D hypersonic flow problems.
In the present work an effort has been made also to an objective and quantitative assessment of the merits of the RD method for typical aerodynamical engineering applications, such as the transonic flow over airfoils and wings.
Validation examples including inviscid, laminar as well as high Reynolds number turbulent flows
and comparisons against results from state-of-the-art Finite Volume methods are presented.
It is shown that the second-order multi-dimensional upwind RD schemes have an accuracy which is at least as good as second-order FV methods using dimension-by-dimension upwinding and that their main advantage lies in providing excellent monotone shock capturing.
Doctorat en Sciences de l'ingénieur
info:eu-repo/semantics/nonPublished
Rafee, Nadra. "Optimal multirate discretization of analog controllers, theory and application." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/nq20765.pdf.
Full textGiannacopoulos, Dennis. "Optimal discretization-based adaptive finite element analysis for electromagnetics." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape8/PQDD_0025/NQ50170.pdf.
Full textJalali, Alireza. "Truncation error analysis of unstructured finite volume discretization schemes." Thesis, University of British Columbia, 2012. http://hdl.handle.net/2429/42429.
Full textGiannacopoulos, Dennis. "Optimal discretization-based adaptive finite element analysis for electromagnetics." Thesis, McGill University, 1998. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=35885.
Full textIn addition, a series of important benchmark adaption problems are introduced to examine the validity of the theoretical concepts and the practical value of the new refinement criteria. Moreover, many of the computational and theoretical difficulties inherent in the currently available characterizations of optimal finite element discretizations are explained and illustrated with numerical results computed for the same benchmark problems.
Phillips, Tyrone. "Residual-based Discretization Error Estimation for Computational Fluid Dynamics." Diss., Virginia Tech, 2014. http://hdl.handle.net/10919/50647.
Full textPh. D.
Matringe, Sébastien François. "Mixed finite element methods for discretization and streamline tracing /." May be available electronically:, 2008. http://proquest.umi.com/login?COPT=REJTPTU1MTUmSU5UPTAmVkVSPTI=&clientId=12498.
Full textZhu, Lei. "A discontinuous least-squares spatial discretization for the sn equations." [College Station, Tex. : Texas A&M University, 2008. http://hdl.handle.net/1969.1/ETD-TAMU-3026.
Full textRasch, Christian Mark Anton. "Numerical discretization of static Hamilton-Jacobi equations on triangular meshes." [S.l.] : [s.n.], 2007. http://mediatum2.ub.tum.de/doc/604594/document.pdf.
Full textBailey, Teresa S. "A piecewise linear finite element discretization of the diffusion equation." Texas A&M University, 2006. http://hdl.handle.net/1969.1/4331.
Full textWeller, Stephan [Verfasser], and Eberhard [Akademischer Betreuer] Bänsch. "Time discretization for capillary problems / Stephan Weller. Gutachter: Eberhard Bänsch." Erlangen : Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 2015. http://d-nb.info/107709941X/34.
Full textHardering, Hanne [Verfasser]. "Intrinsic Discretization Error Bounds for Geodesic Finite Elements / Hanne Hardering." Berlin : Freie Universität Berlin, 2015. http://d-nb.info/1074871022/34.
Full textTahiri, Ahmed. "A compact discretization method for diffusion problems with local refinement." Doctoral thesis, Universite Libre de Bruxelles, 2002. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/211417.
Full textTam, Anita W. "High-order spatial discretization methods for the shallow water equations." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/NQ58942.pdf.
Full textNguyen, Hanh. "Grid discretization effects in the presence of realistic geological heterogeneities." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/MQ60481.pdf.
Full textRaalte, Marc Hartog van. "Multigrid analysis and embedded boundary conditions for discontinuous Galerkin discretization." [S.l. : Amsterdam : s.n.] ; Universiteit van Amsterdam [Host], 2004. http://dare.uva.nl/document/75029.
Full textTuncer, Necibe Meir Amnon J. "A novel finite element discretization of domains with spheroidal geometry." Auburn, Ala., 2007. http://repo.lib.auburn.edu/Send%2011-10-07/TUNCER_NECIBE_24.pdf.
Full textKuo, Chung-Chieh. "Discretization and solution of elliptic PDEs--a transform domain approach." Thesis, Massachusetts Institute of Technology, 1987. http://hdl.handle.net/1721.1/14656.
Full textSchlegel, Martin. "Adaptive discretization methods for the efficient solution of dynamic optimization problems /." Düsseldorf : VDI-Verl, 2005. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=013053068&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.
Full textConstantiniu, Alexandru [Verfasser]. "A hybrid nodal-element-based discretization method / vorgelegt von Alexandru Constantiniu." Erlangen : Lehrstuhl für Techn. Mechanik, Univ. Erlangen-Nürnberg, 2010. http://d-nb.info/1009552325/34.
Full textHampus, Forsberg. "Automatic lumped element discretization of curved beams with variable sectional area." Thesis, Umeå universitet, Institutionen för fysik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-145058.
Full textTakagi, Kentaro, Ichiro Jikuya, Gou Nishida, Maschke Bernhard, and Kinji Asaka. "A study on the discretization of a distributed RC circuit model." IEEE, 2008. http://hdl.handle.net/2237/13888.
Full textRückert, Jens. "Kirchhoff Plates and Large Deformations - Modelling and C^1-continuous Discretization." Doctoral thesis, Universitätsbibliothek Chemnitz, 2013. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-121275.
Full text