LEADER 04550nam 22006495 450 001 9910338258003321 005 20200706013446.0 010 $a3-030-12767-2 024 7 $a10.1007/978-3-030-12767-1 035 $a(CKB)4100000008154096 035 $a(MiAaPQ)EBC5771909 035 $a(DE-He213)978-3-030-12767-1 035 $a(PPN)236522663 035 $a(EXLCZ)994100000008154096 100 $a20190510d2019 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aApproximation and Optimization $eAlgorithms, Complexity and Applications /$fedited by Ioannis C. Demetriou, Panos M. Pardalos 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (244 pages) 225 1 $aSpringer Optimization and Its Applications,$x1931-6828 ;$v145 311 $a3-030-12766-4 327 $aIntroduction -- Evaluation Complexity Bounds for Smooth Constrained Nonlinear Optimization using Scaled KKT Conditions and High-order Models -- Data-Dependent Approximation in Social Computing -- Multi-Objective Evolutionary Optimization Algorithms for Machine Learning: a Recent Survey -- No Free Lunch Theorem, a Review -- Piecewise Convex-Concave Approximation in the Minimax Norm -- A Decomposition Theorem for the Least Squares Piecewise Monotonic Data Approximation Problem -- Recent Progress in Optimization of Multiband Electrical Filters -- Impact of Error in Parameter Estimations on Large Scale Portfolio Optimization -- Optimal Design of Smart Composites -- Tax Evasion as an Optimal Solution to a Partially Observable Markov Decision Process. 330 $aThis book focuses on the development of approximation-related algorithms and their relevant applications. Individual contributions are written by leading experts and reflect emerging directions and connections in data approximation and optimization. Chapters discuss state of the art topics with highly relevant applications throughout science, engineering, technology and social sciences. Academics, researchers, data science practitioners, business analysts, social sciences investigators and graduate students will find the number of illustrations, applications, and examples provided useful. This volume is based on the conference Approximation and Optimization: Algorithms, Complexity, and Applications, which was held in the National and Kapodistrian University of Athens, Greece, June 29?30, 2017. The mix of survey and research content includes topics in approximations to discrete noisy data; binary sequences; design of networks and energy systems; fuzzy control; large scale optimization; noisy data; data-dependent approximation; networked control systems; machine learning ; optimal design; no free lunch theorem; non-linearly constrained optimization; spectroscopy. 410 0$aSpringer Optimization and Its Applications,$x1931-6828 ;$v145 606 $aApproximation theory 606 $aCalculus of variations 606 $aAlgorithms 606 $aNumerical analysis 606 $aProbabilities 606 $aApproximations and Expansions$3https://scigraph.springernature.com/ontologies/product-market-codes/M12023 606 $aCalculus of Variations and Optimal Control; Optimization$3https://scigraph.springernature.com/ontologies/product-market-codes/M26016 606 $aAlgorithms$3https://scigraph.springernature.com/ontologies/product-market-codes/M14018 606 $aNumerical Analysis$3https://scigraph.springernature.com/ontologies/product-market-codes/M14050 606 $aProbability Theory and Stochastic Processes$3https://scigraph.springernature.com/ontologies/product-market-codes/M27004 615 0$aApproximation theory. 615 0$aCalculus of variations. 615 0$aAlgorithms. 615 0$aNumerical analysis. 615 0$aProbabilities. 615 14$aApproximations and Expansions. 615 24$aCalculus of Variations and Optimal Control; Optimization. 615 24$aAlgorithms. 615 24$aNumerical Analysis. 615 24$aProbability Theory and Stochastic Processes. 676 $a516.11 676 $a511.4 702 $aDemetriou$b Ioannis C$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPardalos$b Panos M$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910338258003321 996 $aApproximation and optimization$980106 997 $aUNINA