Results 201 to 210 of about 13,358 (271)

Learning nonparametric ordinary differential equations from noisy data. [PDF]

open access: yesJ Comput Phys
Lahouel K   +5 more
europepmc   +1 more source

On a New Norm on the Space of Reproducing Kernel Hilbert Space Operators and Berezin Radius Inequalities

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
semanticscholar   +1 more source

Fast Vehicle Routing via Knowledge Transfer in a Reproducing Kernel Hilbert Space

IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023
Vehicle routing problems (VRPs) are essential in logistics. In the literature, many exact and heuristic optimization algorithms have been proposed to solve the VRPs. These traditional approaches, however, generally start the optimization from scratch and
Yuxiao Huang   +5 more
semanticscholar   +1 more source

Data-Driven Optimization: A Reproducing Kernel Hilbert Space Approach

Operational Research, 2021
Data-Driven Optimization Using Reproducing Kernel Hilbert ...
D. Bertsimas, Nihal Koduri
semanticscholar   +1 more source

Solving optimal control problems of Fredholm constraint optimality via the reproducing kernel Hilbert space method with error estimates and convergence analysis

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
semanticscholar   +1 more source

Reproducing kernel Hilbert space method for the numerical solutions of fractional cancer tumor models

Mathematical methods in the applied sciences, 2020
This research work is concerned with the new numerical solutions of some essential fractional cancer tumor models, which are investigated by using reproducing kernel Hilbert space method (RKHSM).
Nourhane Attia   +3 more
semanticscholar   +1 more source

On some problems for operators on the reproducing kernel Hilbert space

Linear and multilinear algebra, 2019
In 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
semanticscholar   +1 more source

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