A reduced finite element formulation for space fractional partial differential equation
Jing Sun, Daxin Nie, Weihua Deng

TL;DR
This paper introduces a reduced finite element method for space fractional PDEs using proper orthogonal decomposition, significantly decreasing computational complexity while maintaining accuracy, supported by stability analysis and numerical validation.
Contribution
It presents a novel reduced FE formulation for space fractional PDEs via proper orthogonal decomposition, with stability and error analysis, and numerical verification.
Findings
Reduced FE model decreases computational complexity
Stability and error estimates are established
Numerical experiments confirm effectiveness
Abstract
Applying proper orthogonal decomposition to a usual finite element (FE) formulation for space fractional partial differential equation, we get a reduced FE model, which greatly reduces the complexity of computation. Then, the stability analysis and error estimate for the reduced model are presented. Finally, we verify the effectiveness of the algorithm by numerical experiments.
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Taxonomy
TopicsModel Reduction and Neural Networks · Fractional Differential Equations Solutions · Numerical methods for differential equations
