Version 1
: Received: 10 October 2024 / Approved: 10 October 2024 / Online: 10 October 2024 (10:31:16 CEST)
How to cite:
Çakır, Y.; Uzunca, M. Kernel Principal Component Analysis for Allen–Cahn Equation. Preprints2024, 2024100786. https://doi.org/10.20944/preprints202410.0786.v1
Çakır, Y.; Uzunca, M. Kernel Principal Component Analysis for Allen–Cahn Equation. Preprints 2024, 2024100786. https://doi.org/10.20944/preprints202410.0786.v1
Çakır, Y.; Uzunca, M. Kernel Principal Component Analysis for Allen–Cahn Equation. Preprints2024, 2024100786. https://doi.org/10.20944/preprints202410.0786.v1
APA Style
Çakır, Y., & Uzunca, M. (2024). Kernel Principal Component Analysis for Allen–Cahn Equation. Preprints. https://doi.org/10.20944/preprints202410.0786.v1
Chicago/Turabian Style
Çakır, Y. and Murat Uzunca. 2024 "Kernel Principal Component Analysis for Allen–Cahn Equation" Preprints. https://doi.org/10.20944/preprints202410.0786.v1
Abstract
Different researchers analyzed effective computational methods that maintain the precision of Allen-Chan (AC) equations and their constant security. This article presents a method known as reduced order model technique by utilizing kernel principle component analysis (KPCA), a nonlinear variation of traditional principal component analysis (PCA). KPCA is utilized on the data matrix created using discrete solution vectors of the AC equation. In order to achieve discrete solutions, small variations are applied for dividing up extraterrestrial elements, while Kahan’s method is used for temporal calculations. Handling the process of backmapping from small-scale space involves utilizing a non-iterative formula rooted in the concept of the multi-dimensional scaling (MDS) method. Using KPCA, we show that simplified sorting methods preserve dissipation of energy structure. The effectiveness of simplified solutions from linear PCA and KPCA, the retention of invariants, and computational speeds are shown through one-, two-, and three-dimensional AC equations.
Keywords
Allen-Cahn equation; kernel principle component analysis; multi-dimensional scaling; energy dissipation
Subject
Computer Science and Mathematics, Computational Mathematics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
