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Additive Operator Decomposition and Optimization–Based Reconnection with Applications

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5910))

Abstract

We develop an optimization-based approach for additive decomposition and reconnection of algebraic problems arising from discretizations of partial differential equations (PDEs). Application to a scalar convection–diffusion PDE illustrates the new approach. In particular, we derive a robust iterative solver for convection–dominated problems using standard multilevel solvers for the Poisson equation.

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Bochev, P., Ridzal, D. (2010). Additive Operator Decomposition and Optimization–Based Reconnection with Applications. In: Lirkov, I., Margenov, S., Waśniewski, J. (eds) Large-Scale Scientific Computing. LSSC 2009. Lecture Notes in Computer Science, vol 5910. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12535-5_77

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  • DOI: https://doi.org/10.1007/978-3-642-12535-5_77

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-12534-8

  • Online ISBN: 978-3-642-12535-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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