'Nonlinear optimization problems' diaporamas de présentation

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Hand-written character recognition

Hand-written character recognition. Failure rate for test samples. MNIST: a data set of hand-written digits 60,000 training samples 10,000 test samples Each sample consists of 28 x 28 = 784 pixels Various techniques have been tried Linear classifier: 12.0%

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Advanced Topics in Optimization

Advanced Topics in Optimization. Multilevel Optimization. Objectives. To discuss about Multilevel Optimization To describe a decomposition method for nonlinear optimization problems, known as model-coordination method. Introduction.

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