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Titlebook: Vector Optimization; Set-valued and Varia Guang-ya Chen,Xuexiang Huang,Xiaoqi Yang Book 2005 Springer-Verlag Berlin Heidelberg 2005 Scalari

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书目名称Vector Optimization
副标题Set-valued and Varia
编辑Guang-ya Chen,Xuexiang Huang,Xiaoqi Yang
视频video
丛书名称Lecture Notes in Economics and Mathematical Systems
图书封面Titlebook: Vector Optimization; Set-valued and Varia Guang-ya Chen,Xuexiang Huang,Xiaoqi Yang Book 2005 Springer-Verlag Berlin Heidelberg 2005 Scalari
描述Vector optimization model has found many important applications in decision making problems such as those in economics theory, management science, and engineering design (since the introduction of the Pareto optimal solu­ tion in 1896). Typical examples of vector optimization model include maxi­ mization/minimization of the objective pairs (time, cost), (benefit, cost), and (mean, variance) etc. Many practical equilibrium problems can be formulated as variational in­ equality problems, rather than optimization problems, unless further assump­ tions are imposed. The vector variational inequality was introduced by Gi- nessi (1980). Extensive research on its relations with vector optimization, the existence of a solution and duality theory has been pursued. The fundamental idea of the Ekeland‘s variational principle is to assign an optimization problem a slightly perturbed one having a unique solution which is at the same time an approximate solution of the original problem. This principle has been an important tool for nonlinear analysis and optimization theory. Along with the development of vector optimization and set-valued optimization, the vector variational principle introduced
出版日期Book 2005
关键词Scalarization Method; Vector Equilibrium Problem; Vector Optimization; Vector Variational Inequality; Ve
版次1
doihttps://doi.org/10.1007/3-540-28445-1
isbn_softcover978-3-540-21289-8
isbn_ebook978-3-540-28445-1Series ISSN 0075-8442 Series E-ISSN 2196-9957
issn_series 0075-8442
copyrightSpringer-Verlag Berlin Heidelberg 2005
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uman model actuated by numerous skeletal muscles, with two human-like eyes whose retinas have spatially nonuniform distributions of photoreceptors. Our prototype sensorimotor system for this model incorporates a set of 20 automatically-trained, deep neural networks (DNNs), half of which are neuromus
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shapes) or hand movements (hand gestures). Such a hand interface system can be realized by using cameras as input devices, and software for analyzing the images. In this hand interface system, commands are recognized by analyzing the hand shapes and its trajectories in the images. Therefore, succes
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n requires a significant amount of the supervisory surgeons’ time, and it can be a very subjective decision. This study uses an object detection algorithm, Scaled-YOLOv4, in conjunction with a centroid tracking algorithm to evaluate the surgeon’s skills during advanced intracorporeal suturing. We pr
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ith a focus on establishing the superiority of hybrid transformer architectures. The models include autoencoder, convolutional autoencoder, temporal autoencoder (GRU autoencoder), transformer, convolutional transformer, and transformer with a convolutional encoder, representing diverse approaches in
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