11 resultados para infinite dimensional differential geometry
em Martin Luther Universitat Halle Wittenberg, Germany
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Electromagnetic scattering inverse problems, microwave imaging, reconstruction of dielectric media, remote sensing, tomography
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Magdeburg, Univ., Fak. für Naturwiss., Diss., 2011
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Convex cone, toric variety, graph theory, electrochemical catalysis, oxidation of formic acid, feedback-loopsbifurcations, enzymatic catalysis, Peroxidase reaction, Shil'nikov chaos
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This work focuses on the modeling and numerical approximations of population balance equations (PBEs) for the simulation of different phenomena occurring in process engineering. The population balance equation (PBE) is considered to be a statement of continuity. It tracks the change in particle size distribution as particles are born, die, grow or leave a given control volume. In the population balance models the one independent variable represents the time, the other(s) are property coordinate(s), e.g., the particle volume (size) in the present case. They typically describe the temporal evolution of the number density functions and have been used to model various processes such as granulation, crystallization, polymerization, emulsion and cell dynamics. The semi-discrete high resolution schemes are proposed for solving PBEs modeling one and two-dimensional batch crystallization models. The schemes are discrete in property coordinates but continuous in time. The resulting ordinary differential equations can be solved by any standard ODE solver. To improve the numerical accuracy of the schemes a moving mesh technique is introduced in both one and two-dimensional cases ...
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Magdeburg, Univ., Fak. für Naturwiss., Diss., 2008
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Magdeburg, Univ., Fak. für Mathematik, Habil.-Schr., 2010
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Magdeburg, Univ., Fak. für Mathematik, Diss., 2009
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Magdeburg, Univ., Fak. für Wirtschaftswiss., Diss., 2012
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Magdeburg, Univ., Fak. für Mathematik, Diss., 2014
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Magdeburg, Univ., Fak. für Elektrotechnik und Informationstechnik, Diss., 2015
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...In dieser Arbeit untersuche ich den ”Fluch der Dimensionen” mittels dem Begriff der Distanzkonzentration. Ich zeige, dass dieser Effekt im Datenmodell mittels der paarweisen Kovarianzkoeffizienten der Randverteilungen beschrieben werden kann. Zusätzlich vergleiche ich 10 prototypbasierte Clusteralgorithmen mittels 800.000 Clusterergebnissen von künstlich erzeugten Datensätzen. Ich erforsche, wie und warum Clusteralgorithmen von der Anzahl der Merkmale beeinflusst werden. Mit den Clusterergebnissen untersuche ich außerdem, wie gut 5 der populärsten Clusterqualitätsmaße die tatsächliche Clusterqualität schätzen.