Results 101 to 110 of about 251 (126)
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gmj, 2004
Abstract Let ๐บ be an open subset of โ and let ๐ be an arbitrary system of weights on ๐บ. Let ๐ป๐๐(๐บ) and ๐ป๐0(๐บ) be the weighted locally convex spaces of holomorphic functions with a topology generated by seminorms which are weighted analogues of the supremum norm.
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Abstract Let ๐บ be an open subset of โ and let ๐ be an arbitrary system of weights on ๐บ. Let ๐ป๐๐(๐บ) and ๐ป๐0(๐บ) be the weighted locally convex spaces of holomorphic functions with a topology generated by seminorms which are weighted analogues of the supremum norm.
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Single and multiple illuminant estimation using convex functions
Computer Vision and Image Understanding, 2023Zeinab Abedini, Mansour Jamzad
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Journal of Computational and Applied Mathematics
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Abdelghani Lakhdari +2 more
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Abdelghani Lakhdari +2 more
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On the convexity of the multiplicative potential and penalty functions and related topics
Mathematical Programming, 2001zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Right-Radau-type inequalities for multiplicative differentiable \(s\)-convex functions
Summary: In this study, a new identity is introduced for multiplicative differentiable functions, forming the foundation for a range of 2-point right-Radau-type inequalities applicable to multiplicative \(s\)-convex functions. These established results are then showcased through applications that underscore their relevance within the domain of special ...Berkane, A. +2 more
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Employing convex shape absorber for enhancing the performance of solar still desalination system
Journal of Energy Storage, 2022Habib Ben Bacha
exaly
Joint Estimation of Multiple Granger Graphical Models Using Non-Convex Penalty Functions
This thesis considers joint learning of multiple sparse Granger graphical models to dis-cover underlying common and differential Granger causality (GC) structures across multiple time series. The proposed learning technique can be used in fMRI data analysis to infer a group-level brain network from a group of subjects or to uncover brain network ...openaire +1 more source

