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A class of new stable, explicit methods to solve the non‐stationary heat equation

Endre Kovács

2020Numerical Methods for Partial Differential Equations35 citationsDOIOpen Access PDF

Abstract

Abstract We present a class of new explicit and stable numerical algorithms to solve the spatially discretized linear heat or diffusion equation. After discretizing the space and the time variables like conventional finite difference methods, we do not approximate the time derivatives by finite differences, but use constant‐neighbor and linear‐neighbor approximations to decouple the ordinary differential equations and solve them analytically. During this process, the time step size appears not in polynomial, but in exponential form with negative exponents, which guarantees stability. We compare the performance of the new methods with analytical and numerical solutions. According to our results, the methods are first and second order in time and can be much faster than the commonly used explicit or implicit methods, especially in the case of extremely large stiff systems.

Topics & Concepts

MathematicsClass (philosophy)Heat equationApplied mathematicsMathematical analysisComputer scienceArtificial intelligenceNumerical methods for differential equationsAdvanced Mathematical Modeling in EngineeringAdvanced Numerical Methods in Computational Mathematics