Reduced-Order Modeling and ROM-Based Optimization of Batch Chromatography

Benner, Peter; Feng, Lihong; Li, Suzhou; Zhang, Yongjin

doi:10.1007/978-3-319-10705-9_42

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Reduced-Order Modeling and ROM-Based Optimization of Batch Chromatography

Benner, P., Feng, L., Li, S., & Zhang, Y. (2015). Reduced-Order Modeling and ROM-Based Optimization of Batch Chromatography. In A. Abdulle, S. Deparis, D. Kressner, F. Nobile, & M. Picasso (Eds.), Numerical Mathematics and Advanced Applications - ENUMATH 2013 (pp. 427-435). Cham: Springer International Publishing.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0024-65F3-E Version Permalink: https://hdl.handle.net/11858/00-001M-0000-002C-5484-E

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Creators:
Benner, Peter¹, Author
Feng, Lihong¹, Author
Li, Suzhou¹, Author
Zhang, Yongjin¹, Author

Affiliations:
1Computational Methods in Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738141

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Dates: Date issued: 2015

Publication Status: Issued

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Identifiers: DOI: 10.1007/978-3-319-10705-9_42

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Title: Numerical Mathematics and Advanced Applications - ENUMATH 2013

Source Genre: Book

Creator(s):
Abdulle, Assyr, Editor
Deparis, Simone, Editor
Kressner, Daniel, Editor
Nobile, Fabio, Editor
Picasso, Marco, Editor

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-

Publ. Info: Cham : Springer International Publishing

Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 427 - 435 Identifier: -

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Title: Lecture Notes in Computational Science and Engineering

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Publ. Info: Cham : Springer International Publishing

Pages: - Volume / Issue: 103 Sequence Number: - Start / End Page: - Identifier: -