Computational study demonstrates a multiscale numerical algorithm for the heat conduction equation, highlighting accurate solutions via reproducing kernel spaces.
In this paper, a multiscale algorithm has been initially proposed for a numerical solution to the heat conduction equation. Firstly, the differential form of the heat conduction equation is transformed into an integral form, and then the time variable is discretized by using the compound trapezoidal formula. Secondly, the orthonormal basis with compactly supported property is constructed in the reproducing kernel space W2[0,b]. For the spatial variable, the ε-approximation solution of the operator equation is obtained by using the orthonormal basis. Finally, the numerical solution of the heat conduction equation is obtained based on interpolation theory. In the meantime, the feasibility of the algorithm is verified theoretically and numerically.
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Zhang et al. (2023) studied this question.
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