Results 171 to 180 of about 1,638 (210)

Reproducing Kernel Space Hilbert Method for Solving Generalized Burgers Equation

, 2019
Malek Karimian
openalex   +1 more source

A bearing fault diagnosis method for hydrodynamic transmissions integrating few-shot learning and transfer learning. [PDF]

Sci Rep
Sun D, Yang X, Yang H.
europepmc   +1 more source

Rapid Assessment of Virtually Synthesizable Chemical Structures via Support Vector Machine Models. [PDF]

Mol Inform
Iwasaki Y, Miyao T.
europepmc   +1 more source

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investigating nonlinear fractional systems: reproducing kernel Hilbert space method

Optical and Quantum Electronics, 2023
Deanship of Scientific Research, Imam Mohammad Ibn Saud Islamic University (IMSIU), Saudi Arabia [221412044]
Attia, Nourhane, Akgul, Ali, Alqahtani, Rubayyi T.   +2 more
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Multiscale Approximation and Reproducing Kernel Hilbert Space Methods

SIAM Journal on Numerical Analysis, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Griebel, Michael, Rieger, Christian, Zwicknagl, Barbara   +2 more
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Reproducing Kernel Hilbert Space Method for Solving Bratu’s Problem

Bulletin of the Malaysian Mathematical Sciences Society, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Inc, Mustafa, Akgul, Ali, Geng, Fazhan
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A new application of reproducing kernel Hilbert space method

AIP Conference Proceedings, 2018
We demonstrate a new application of the reproducing kernel Hilbert space method in this paper. We showed our results by tables and figures.
Akgul, A., Sakar, M. Giyas
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Solving Fredholm integro–differential equations using reproducing kernel Hilbert space method

Applied Mathematics and Computation, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Arqub, Omar Abu, Al-Smadi, Mohammed, Shawagfeh, Nabil   +2 more
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Solutions of Integral Equations by Reproducing Kernel Hilbert Space Method

2021
The theory of reproducing kernels was considered for the first time at the beginning of the 20th century by Zaremba. Reproducing kernel theory has valuable implementations in numerical analysis, differential equations, probability and statistics.
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