JOURNAL ARTICLE

Fully Discrete Interpolation Coefficients Mixed Finite Element Methods for Semi-Linear Parabolic Optimal Control Problem

Jing WangZuliang LuFei CaiYuming Feng

Year: 2022 Journal:   IEEE Access Vol: 10 Pages: 54291-54300   Publisher: Institute of Electrical and Electronics Engineers

Abstract

We use the fully discrete interpolation coefficient mixed finite element methods to solve the semi-linear parabolic optimal control problems. The space discretization of the state variable is separated using interpolation coefficient mixed finite elements. We approximate the state and the co-state by Raviart-Thomas mixed finite elements on the lowest order, which is approximated by piecewise constant elements. By applying mixed finite element methods to estimate errors, we get priori errors estimates for both the coupled state and the control approximations. We finally confirm the theoretical results numerically by a numerical example.

Keywords:
Finite element method Interpolation (computer graphics) Mathematics Discretization Mixed finite element method Piecewise linear function Linear interpolation Applied mathematics Piecewise Mathematical analysis Extended finite element method A priori and a posteriori Optimal control Constant (computer programming) Mathematical optimization Computer science Physics Polynomial

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3
Cited By
0.76
FWCI (Field Weighted Citation Impact)
46
Refs
0.55
Citation Normalized Percentile
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Citation History

Topics

Advanced Numerical Methods in Computational Mathematics
Physical Sciences →  Engineering →  Computational Mechanics
Advanced Mathematical Modeling in Engineering
Physical Sciences →  Computer Science →  Computational Theory and Mathematics
Computational Fluid Dynamics and Aerodynamics
Physical Sciences →  Engineering →  Computational Mechanics

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