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International Journal of Computer Mathematics Volume 97, 2020 - Issue 7
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Original Articles

Preconditioned linear solves for parametric model order reduction

Navneet Pratap SinghComputational Science and Engineering Lab, Indian Institute of Technology Indore, Indore, IndiaView further author information
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Kapil AhujaComputational Science and Engineering Lab, Indian Institute of Technology Indore, Indore, IndiaCorrespondence[email protected]
View further author information
Pages 1484-1502 | Received 18 Sep 2018, Accepted 28 May 2019, Published online: 18 Jun 2019

Citations (4)

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Read on this site (1)

Zhen Li, Yao-Lin Jiang & Hong-liang Mu. (2021) Parametric model order reduction based on parallel tensor compression. International Journal of Systems Science 52:11, pages 2201-2216.
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Articles from other publishers (3)

Dominik Garmatter, Margherita Porcelli, Francesco Rinaldi & Martin Stoll. (2022) An improved penalty algorithm using model order reduction for MIPDECO problems with partial observations. Computational Optimization and Applications 84:1, pages 191-223.
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Payton Lindsay, Jeffrey Fike, Irina Tezaur & Kevin Carlberg. (2022) Preconditioned least‐squares Petrov–Galerkin reduced order models. International Journal for Numerical Methods in Engineering 123:20, pages 4809-4843.
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Navneet Pratap Singh & Kapil Ahuja. (2020) Reusing Preconditioners in Projection Based Model Order Reduction Algorithms. IEEE Access 8, pages 133233-133247.
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