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Least Squares Regularized Method for One-Dimensional Source Inverse Heat Conduction Problem
WU Ziku, LI Fule, DO Young Kwak
CHINESE JOURNAL OF COMPUTATIONAL PHYSICS
2016, 33 (1):
49-56.
We deal with one-dimensional source inverse heat conduction equation. An approach based on least squares support vector machines (LS-SVM) is proposed for semi-analytic approximate solutions. Furthermore, a parameters tuning formulism is shown and stability of the method is presented. The method yields high accuracy and stability solutions in practical examples.
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