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On Convexity of Cooperative Games (Nonlinear Analysis and Convex Analysis)
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Convex Analysis on Hadamard Spaces and Scaling Problems
Foundations of Computational Mathematics, 2022In this paper, we address the bounded/unbounded determination of geodesically convex optimization on Hadamard spaces. In Euclidean convex optimization, the recession function is a basic tool to study the unboundedness and provides the domain of the ...
H. Hirai
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International Series in Operations Research and Management Science, 2001
R. Vanderbei
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R. Vanderbei
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Stability Analysis for Delayed Neural Networks via a Generalized Reciprocally Convex Inequality
IEEE Transactions on Neural Networks and Learning Systems, 2022This article deals with the stability of neural networks (NNs) with time-varying delay. First, a generalized reciprocally convex inequality (RCI) is presented, providing a tight bound for reciprocally convex combinations.
Huichao Lin +3 more
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Discrete Convex Analysis and Its Applications in Operations: A Survey
Production and operations management, 2019Discrete convexity, in particular, L ♮ ‐convexity and M ♮ ‐convexity, provides a critical opening to attack several classical problems in inventory theory, as well as many other operations problems that arise from more recent practices, for instance ...
Xin Chen, Menglong Li
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Formation Control of Multiagent Systems With Communication Noise: A Convex Analysis Approach
IEEE Transactions on Cybernetics, 2019Under practical environments, some certain noises may arise from the communication of agents due to electromagnetic interference, sensor error, and other disturbances, which are usually modeled by additive noise in the relative position state between an ...
Zhen Li +3 more
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Convex multiresolution analysis
Proceedings of Third International Symposium on Time-Frequency and Time-Scale Analysis (TFTS-96), 1998A standard wavelet multiresolution analysis can be defined via a sequence of projection operators onto a monotone sequence of closed vector subspaces possessing suitable invariance properties. We propose an extension of this framework in which the linear projection operators are replaced by nonlinear retractions onto convex sets.
P.L. Combettes, J.-C. Pesquet
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Springer Series in Operations Research and Financial Engineering, 2022
B. Mordukhovich, Nguyen Mau Nam
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B. Mordukhovich, Nguyen Mau Nam
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Abstract Convexity in Measure Theory and in Convex Analysis
Journal of Mathematical Sciences, 2003The paper under report is a survey on the so-called ``abstract convex analysis'' and on some applications to optimization problems. If \(\Omega\) is a set and \(H\) is a class of functions from \(\Omega\) into \(\mathbb{R}\), a function \(f: \Omega\to\mathbb{R}\cup \{+\infty\}\) is called \(H\)-convex if it is the supremum of a family of functions ...
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