A chance-constrained optimization model employing multiple linear decision rules.

Oğuz, Füsun


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There are some approaches for all-hexahedral mesh quality improvement by means of node-movement while preserving the connectivity. Among these methods, the most easily implemented and well known one is the Laplacian smoothing method; however, for this method mesh quality improvement is not guaranteed in all cases, and this approach might cause inverted elements especially in concave regions. In this work, a method for the improvement of hexahedral mesh shape-quality Without causing inverted elements is prop...
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Recent studies in machine learning field proved that ideas which were once thought impractical are in fact tangible. Over the years, researchers have managed to develop learning systems which are able to interact with the environment and use experiences for adaptation to new conditions. Humanoid robots can now learn concepts such as nouns, adjectives and verbs, which is a big step for building human-like learners. Behind all these achievements, development of successful learning and classification technique...
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Citation Formats
F. Oğuz, “A chance-constrained optimization model employing multiple linear decision rules.,” Middle East Technical University, 1980.