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Titlebook: Numerical Analysis and Optimization; NAO-V, Muscat, Oman, Mehiddin Al-Baali,Anton Purnama,Lucio Grandinetti Conference proceedings 2021 The

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書目名稱Numerical Analysis and Optimization
副標(biāo)題NAO-V, Muscat, Oman,
編輯Mehiddin Al-Baali,Anton Purnama,Lucio Grandinetti
視頻videohttp://file.papertrans.cn/669/668934/668934.mp4
概述Presents recent research developments in theory and algorithms with applications in optimization.Covers applications in real-world problems in several fields of mathematics and engineering.Gathers sel
叢書名稱Springer Proceedings in Mathematics & Statistics
圖書封面Titlebook: Numerical Analysis and Optimization; NAO-V, Muscat, Oman, Mehiddin Al-Baali,Anton Purnama,Lucio Grandinetti Conference proceedings 2021 The
描述This book gathers selected, peer-reviewed contributions presented at the Fifth International Conference on Numerical Analysis and Optimization (NAO-V), which was held at Sultan Qaboos University, Oman, on January 6-9, 2020. Each chapter reports on developments in key fields, such as numerical analysis, numerical optimization, numerical linear algebra, numerical differential equations, optimal control, approximation theory, applied mathematics, derivative-free optimization methods, programming models, and challenging applications that frequently arise in statistics, econometrics, finance, physics, medicine, biology, engineering and industry..Many real-world, complex problems can be formulated as optimization tasks, and can be characterized further as large scale, unconstrained, constrained, non-convex, nondifferentiable or discontinuous, and therefore require adequate computational methods, algorithms and software tools. These same tools are often employed by researchers working in current IT hot topics, such as big data, optimization and other complex numerical algorithms in the cloud, devising special techniques for supercomputing systems. This interdisciplinary view permeates the
出版日期Conference proceedings 2021
關(guān)鍵詞numerical analysis; numerical optimization; numerical linear algebra; control theory; computational ordi
版次1
doihttps://doi.org/10.1007/978-3-030-72040-7
isbn_ebook978-3-030-72040-7Series ISSN 2194-1009 Series E-ISSN 2194-1017
issn_series 2194-1009
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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,Largest Small ,-polygons: Numerical Optimum Estimates for ,?≥?6,?.?≤?80, using the AMPL model development environment with the LGO global–local solver engine option. Based on these results, we also present a regression model-based estimate of the optimal area sequence {.(.)}.
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Subgradient Smoothing Method for Nonsmooth Nonconvex Optimization, test problems. In addition, the method is implemented in GAMS and numerical results using different solvers from GAMS are reported. The proposed method is compared with a number of nonsmooth optimization methods.
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Modelling and Inferring the Triggering Function in a Self-Exciting Point Process,-Type Aftershock Sequences trigger, which we call the Delayed Response trigger. After calibrating both parametric models, we show that Delayed Response is comparable with Epidemic-Type Aftershock Sequences in terms of predicting future events, and additionally provides an estimate of the time lag before the risk of triggering is maximised.
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