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Titlebook: Approximation and Optimization; Algorithms, Complexi Ioannis C. Demetriou,Panos M. Pardalos Book 2019 Springer Nature Switzerland AG 2019 R

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發(fā)表于 2025-3-21 16:48:26 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱(chēng)Approximation and Optimization
期刊簡(jiǎn)稱(chēng)Algorithms, Complexi
影響因子2023Ioannis C. Demetriou,Panos M. Pardalos
視頻videohttp://file.papertrans.cn/161/160435/160435.mp4
發(fā)行地址Presents approximation-related algorithms and their relevant applications.Contains new approaches and techniques to data-dependent approximation.Highlights new research results
學(xué)科分類(lèi)Springer Optimization and Its Applications
圖書(shū)封面Titlebook: Approximation and Optimization; Algorithms, Complexi Ioannis C. Demetriou,Panos M. Pardalos Book 2019 Springer Nature Switzerland AG 2019 R
影響因子.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..
Pindex Book 2019
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Tax Evasion as an Optimal Solution to a Partially Observable Markov Decision Process,also compute the effect on firm behavior of any extensions of the statute of limitations within which the firm’s tax filings can be audited, and show that such extensions can be a significant deterrent against tax evasion.
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Book 2019data; 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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發(fā)表于 2025-3-22 17:36:11 | 只看該作者
A. Czerny,Fr. Müller,A. Schittenhelm. A new surprising phenomenon is observed for large scale portfolio optimization: efficiency of obtained optimal portfolio is biased with respect to the true optimal portfolio. Different aspects of this phenomenon and possible ways to reduce its negative effect are discussed.
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https://doi.org/10.1007/978-3-642-90691-6options and methods which can be used for the fine-tuning of the parameters of the system. The main concept of the present chapter is to provide stimuli to those who deal with design, optimization, and control issues on smart structures.
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Impact of Error in Parameter Estimations on Large Scale Portfolio Optimization,. A new surprising phenomenon is observed for large scale portfolio optimization: efficiency of obtained optimal portfolio is biased with respect to the true optimal portfolio. Different aspects of this phenomenon and possible ways to reduce its negative effect are discussed.
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