Reference Type | Journal (article/letter/editorial) |
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Title | Rapid data-driven model reduction of nonlinear dynamical systems including chemical reaction networks using ℓ1-regularization |
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Journal | Chaos: An Interdisciplinary Journal of Nonlinear Science |
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Authors | Yang, Q. | Author |
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Sing-Long, C. A. | Author |
Reed, E. J. | Author |
Year | 2020 (May) | Volume | 30 |
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Issue | 5 |
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Publisher | AIP Publishing |
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DOI | doi:10.1063/1.5139463Search in ResearchGate |
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| Generate Citation Formats |
Mindat Ref. ID | 13208061 | Long-form Identifier | mindat:1:5:13208061:5 |
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GUID | 0 |
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Full Reference | Yang, Q., Sing-Long, C. A., Reed, E. J. (2020) Rapid data-driven model reduction of nonlinear dynamical systems including chemical reaction networks using ℓ1-regularization. Chaos: An Interdisciplinary Journal of Nonlinear Science, 30 (5) 53122pp. doi:10.1063/1.5139463 |
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Plain Text | Yang, Q., Sing-Long, C. A., Reed, E. J. (2020) Rapid data-driven model reduction of nonlinear dynamical systems including chemical reaction networks using ℓ1-regularization. Chaos: An Interdisciplinary Journal of Nonlinear Science, 30 (5) 53122pp. doi:10.1063/1.5139463 |
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In | (2020, May) Chaos: An Interdisciplinary Journal of Nonlinear Science Vol. 30 (5) AIP Publishing |
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