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The reachable space of the heat equation for a finite rod as a Reproducing Kernel Hilbert Space
, 2019 Marcos López-García
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Hacettepe Journal of Mathematics and Statistics, 2018 Dumitru Baleanu +3 more
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Numerical Functional Analysis and Optimization, 2023
In this paper, we provide a new norm(α-Berezin norm) on the space of all bounded linear operators defined on a reproducing kernel Hilbert space, which generalizes the Berezin radius and the Berezin norm.
Pintu Bhunia +4 more
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In this paper, we provide a new norm(α-Berezin norm) on the space of all bounded linear operators defined on a reproducing kernel Hilbert space, which generalizes the Berezin radius and the Berezin norm.
Pintu Bhunia +4 more
semanticscholar +1 more source
Data-Driven Optimization: A Reproducing Kernel Hilbert Space Approach
Operational Research, 2021Data-Driven Optimization Using Reproducing Kernel Hilbert ...
D. Bertsimas, Nihal Koduri
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Mathematical methods in the applied sciences, 2019
Modeling of dynamic systems of optimal control problems (OCPs) is very important issue in applied sciences and engineering. In this analysis, by developed the reproducing kernel Hilbert space (RKHS) method within the calculus of variations, the OCP is ...
Omar Abu Arqub, N. Shawagfeh
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Modeling of dynamic systems of optimal control problems (OCPs) is very important issue in applied sciences and engineering. In this analysis, by developed the reproducing kernel Hilbert space (RKHS) method within the calculus of variations, the OCP is ...
Omar Abu Arqub, N. Shawagfeh
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On some problems for operators on the reproducing kernel Hilbert space
Linear and multilinear algebra, 2019In this study, some problems of operator theory on the reproducing kernel Hilbert space by using the Berezin symbols method are investigated. Namely, invariant subspaces of weighted composition operators on are studied.
M. Garayev +3 more
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Eigenfunction-Based Multitask Learning in a Reproducing Kernel Hilbert Space
IEEE Transactions on Neural Networks and Learning Systems, 2019Multitask learning aims to improve the performance on related tasks by exploring the interdependence among them. Existing multitask learning methods explore the relatedness among tasks on the basis of the input features and the model parameters.
Xinmei Tian +4 more
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