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simplified problems might not be satisfying. A different approach consists in applying optimization heuristics such as …
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Several approaches for subset recovery and improved forecasting accuracy have been proposed and studied. One way is to apply a regularization strategy and solve the model selection task as a continuous optimization problem. One of the most popular approaches in this research field is given by...
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provide a formal framework for the analysis of optimization heuristics like TA, which can be used to estimate lower bounds and …
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Die schnelle und tiefgründige Vermittlung der Prinzipien der klassischen ABAP-Programmierung ist das Anliegen dieses Übungsbuches, das speziell zur Prüfungsvorbereitung auf die SAP-Zertifizierung „ABAP Workbench Certification 2000"" konzipiert wurde. An einem durchgängigen Beispielprojekt...
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Efficient routines for multidimensional numerical integration are provided by quasi-Monte Carlo methods. These methods are based on evaluating the integrand at a set of representative points of the integration area. A set may be called representative if it shows a low discrepancy. However, in...
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