Least-squares finite element method and preconditioned conjugate gradient solution

DOI10.1002/nme.1620240705zbMath0633.65111OpenAlexW2027381469MaRDI QIDQ3771549

Graham F. Carey, Bo-Nan Jiang

Publication date: 1987

Published in: International Journal for Numerical Methods in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/nme.1620240705

zbMATH Keywords

convergenceerror estimatesnumerical examplesEuler equationspreconditionerssteepest descentpreconditioned conjugate gradientsleast-squares finite element methodcondition number boundGalerkin finite element

Mathematics Subject Classification ID

Finite element, Rayleigh-Ritz and Galerkin methods for boundary value problems involving PDEs (65N30) First-order nonlinear hyperbolic equations (35L60) Existence, uniqueness, and regularity theory for compressible fluids and gas dynamics (76N10)

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Cites Work

• Nonlinear preconditioned conjugate gradient and least-squares finite elements
• Unnamed Item

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