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Large-Scale and Distributed Optimization
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130 b
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This book covers the tools and methods for large-scale and distributed optimization, reflecting the subject's importance in control and information theory, which has steadily emerged in the past fifteen years. As well as specific coverage of this active research field, the book serves as a powerful source of information for researchers in mathematics, statistics and computer science. The tools covered in the book include: statistical estimation (supervised and unsupervised learning); signal reconstruction; compressed sensing; bioinformatics; medical imaging; distributed/network control; filter design; and computational finance. Distributed and Large-Scale Optimization is a unique combination of contributions from leading experts in the field, who were speakers at the LCCC Focus Period on Large-Scale and Distributed Optimization, held in Lund, 14 th -16 th June 2017. A source of information and innovative ideas for current and future research, this book will appeal to researchers, academics and students who are interested in the interaction of control and information theory.
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