16 resultados para Error-resilient Applications

em Martin Luther Universitat Halle Wittenberg, Germany


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Electrokinetic transport, electrochromatography, electroosmotic flow, electrophoresis, concentration polarization, fixed beds, monoliths, dynamic NMR microscopy, quantitative confocal laser scanning microscopy, mathematical modelling, numerical analysis

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In dieser Arbeit wird mit JAVADAPTOR ein Ansatz präsentiert, der die statisch getypte Programmiersprache Java um die Möglichkeit erweitert, Programme zur Laufzeit und ohne die genannten Einschränkungen zu aktualisieren. Das vorgestellte Konzept kombiniert das schemaverändernde Nachladen von Klassen mit Referenzaktualisierungen auf der Basis von Java HotSwap, Containern und Proxies. Zentrale Beiträge der Arbeit sind detaillierte Beschreibungen der Konzepte und deren Implementierung, sowie der Nachweis der Praxvistauglichkeit der Lösung anhand verschiedener Fallstudien. Weiterhin wird untersucht, ob die präsentierte Lösung Einschränkungen bezüglich Flexibilität, Performanz, Plattform, Programmarchitektur oder Änderungsgranularität unterliegt.

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Simulation, modelling, proxels, PDEs, Markov chains, Petri nets, stochastic, performability, transient analysis

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Spread spectrum, Automotive Radar, Indoor Positioning Systems, Ultrasonic and Microwave Imaging, super resolution technique and wavelet transform

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Magdeburg, Univ., Fak. für Mathematik, Habil.-Schr., 2006

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ZnO, Epitaxy, Metal organic vapor phase epitaxy, MOCVD, CVD, Semiconductor, Optoelectronics, X-ray diffraction, Cathodoluminescence, Microelectronics

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Magdeburg, Univ., Fak. für Elektrotechnik und Informationstechnik, Diss., 2007

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The classical central limit theorem states the uniform convergence of the distribution functions of the standardized sums of independent and identically distributed square integrable real-valued random variables to the standard normal distribution function. While first versions of the central limit theorem are already due to Moivre (1730) and Laplace (1812), a systematic study of this topic started at the beginning of the last century with the fundamental work of Lyapunov (1900, 1901). Meanwhile, extensions of the central limit theorem are available for a multitude of settings. This includes, e.g., Banach space valued random variables as well as substantial relaxations of the assumptions of independence and identical distributions. Furthermore, explicit error bounds are established and asymptotic expansions are employed to obtain better approximations. Classical error estimates like the famous bound of Berry and Esseen are stated in terms of absolute moments of the random summands and therefore do not reflect a potential closeness of the distributions of the single random summands to a normal distribution. Non-classical approaches take this issue into account by providing error estimates based on, e.g., pseudomoments. The latter field of investigation was initiated by work of Zolotarev in the 1960's and is still in its infancy compared to the development of the classical theory. For example, non-classical error bounds for asymptotic expansions seem not to be available up to now ...

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Magdeburg, Univ., Fak. für Elektrotechnik und Informationstechnik, Diss., 2009

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Magdeburg, Univ., Fak. für Mathematik, Habil.-Schr., 2010

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Magdeburg, Univ., Fak. für Elektrotechnik und Informationstechnik, Diss., 2010

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Magdeburg, Univ., Fak. für Informatik, Habil.-Schr., 2010

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Magdeburg, Univ., Med. Fak., Diss., 2012

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Magdeburg, Univ., Fak. für Informatik, Diss., 2014

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Magdeburg, Univ., Fak. für Mathematik, Diss., 2015