The motivation stems from existing and emerging applications in optimization and control of complex hybrid Markovian systems ...
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Modeling Uncertainty: An Examination of Stochastic Theory, Methods, and Applications, is a volume undertaken by the friends ...
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This book proposes a unified algorithmic framework based on dual optimization techniques that have complexities that are ...
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(Four areas in one book) This book covers various disciplines in learning and optimization, including perturbation analysis ...
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Optimization problems arising in practice involve random parameters. For the computation of robust optimal solutions, i.e., ...
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Optimization problems arising in practice involve random model parameters. For the computation of robust optimal solutions, ...
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