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

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Die einheimische Ruhr im Kindesalter,ecially in the area of social computing, where nonsubmodular combinatorial optimization problems have been recently formulated. In this chapter, we present some theoretical results on the data-dependent approximation approach. In addition, some related open problems are discussed.

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,Die paraproteinämischen Hämoblastosen, al. (IMA J Numer Anal 32:1662–1695, 2012) for computing an .-approximate first-order critical point can be obtained under significantly weaker assumptions. Moreover, the result is generalized to the case where high-order derivatives are used, resulting in a bound of .(..) evaluations whenever deriv

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F. Kraus,O. Minkowski,A. Schittenhelmptimization assists machine learning algorithms to optimize their hyper-parameters, usually under conflicting performance objectives and selects the best model for a given task. In this paper, recent multi-objective evolutionary approaches for four major data mining and machine learning tasks, namel

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https://doi.org/10.1007/978-3-642-94558-8lowing projective technique is proposed for obtaining a vector of smooth approximations to these values. Find . minimizing ∥. −.∥. subject to the constraints that the consecutive second-order divided differences of the components of . change sign at most . times. This optimization problem (which is

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https://doi.org/10.1007/978-3-642-94604-2condition that the first differences of the approximated values have at most . − 1 sign changes, where . is a given positive integer. The positions of the sign changes are integer variables whose optimal values are to be determined automatically. Since the number of trials of all possible combinatio

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https://doi.org/10.1007/978-3-642-94604-2rogress in math eventually led to the progress in technology: half a century later German electrical engineer and physicist W. Cauer on the basis of this solution has invented low- and high-pass electrical filters known today as elliptic or Cauer-Zolotarëv filters and possessing the unbeatable quali

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