EAN: 9783030127664

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This book focuses on the development of approximation-related algorithms and their relevant applications. Individual contributions are written by leading experts and reflect emerging directions and connections in data approximation and optimization. Chapters discuss state of the art topics with highly relevant applications throughout science engineering technology and social sciences. Academics researchers data science practitioners business analysts social sciences investigators and graduate students will find the number of illustrations applications and examples provided useful.This volume is based on the conference Approximation and Optimization: Algorithms Complexity and Applications which was held in the National and Kapodistrian University of Athens Greece June 29-30 2017. The mix of survey and research content includes topics in approximations to discrete noisy data binary sequences design of networks and energy systems fuzzy control large scale optimization noisy data data-dependent approximation networked control systems machine learning optimal design no free lunch theorem non-linearly constrained optimization spectroscopy.
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04.04.2025 um 21:04 Uhr


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