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Cited by 185Optimal Experimental Design MethodsControl Systems and IdentificationAdvanced Control Systems Optimization

The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.

Numerical methods for optimum experimental design in DAE systems.

Open access
Bauer, Irene, Bock, Hans Georg, Körkel, Stefan, Schlöder, Johannes P.·2000·Journal of Computational and Applied Mathematics

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Show all 14 references

Research works printed but not linked: 7

  1. I. Bauer, Numerische Behandlung differentiell-algebraischer Gleichungen mit Anwendungen in der Chemie, Diploma Thesis, Universität Augsburg, 1994.
  2. Bock, 1987, Randwertproblemmethoden zur Parameteridentifizierung in Systemen nichtlinearer Differentialgleichungen, Bonner Math. Schriften, 183
  3. H.G. Bock, E. Eich, J.P. Schlöder, Numerical solution of constrained least squares boundary value problems in differential-algebraic equations, in: K. Strehmel (Ed.), Numerical Treatment of Differential and Integral Equations, BG Teubner, Leipzig, 1988.
  4. Ph.E. Gill, W. Murray, M.A. Saunders, User's guide for SNOPT 5.3: a fortran package for large-scale nonlinear programming, Technical Report, NA 97-5, Department of Mathematics, University of California, San Diego, 1998.
  5. Körkel, 1999, A sequential approach for nonlinear optimum eperimental design in DAE systems, Vol. 2, 338
  6. Schlöder, 1988, Numerische Methoden zur Behandlung hochdimensionaler Aufgaben der Parameteridentifizierung, Bonner Math. Schriften, 187
  7. M. von Schwerin, Numerische Methoden zur Schätzung von Reaktionsgeschwindigkeiten bei der katalytischen Methankonversion und Optimierung von Essigsäure- und Methanprozessen, Ph.D. Thesis, Universität Heidelberg, 1998.

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Metadata

Authors
Bauer, I., Bock, H. G., Körkel, S., & Schlöder, J. P.
Affiliations
Heidelberg University (DE)
Corresponding author
Schlöder, Johannes P.
Venue
Journal of Computational and Applied Mathematics
Publisher
Elsevier BV
Published
2000-08
Volume
120
Issue
1-2
Pages
1-25
ISSN
0377-0427 (ISSN-L)
OpenAlex
W2133843658
Cited by
185
References
14
Citations by year
2026: 4 · 2025: 5 · 2024: 5 · 2023: 3 · 2022: 5 · 2021: 6 · 2020: 8 · 2019: 9 · 2018: 12 · 2017: 5 · 2016: 5 · 2015: 8 · 2014: 11 · 2013: 11 · 2012: 13
FWCI
4.84
Type
journal article
Language
en
Open access
Licence
Locations
Journal of Computational and Applied Mathematics (publishedVersion)
Funders
  • Bundesministerium für Bildung und Forschung
  • Bundesministerium für Forschung und Technologie
Topics
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Optimal Experimental Design Methods
  • Physical Sciences › Engineering › Control and Systems Engineering › Control Systems and Identification
  • Physical Sciences › Engineering › Control and Systems Engineering › Advanced Control Systems Optimization
Keywords
optimal experimental design, differential-algebraic equations, chemical processes, parameter estimation, optimal control, automatic differentiation, numerical differentiation, reaction kinetics

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CoChat. (2026). Citation check: Numerical methods for optimum experimental design in DAE systems. https://app.cochat.ai/papers/10.1016/s0377-0427(00)00300-9
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Bauer, I., Bock, H. G., Körkel, S., & Schlöder, J. P. (2000). Numerical methods for optimum experimental design in DAE systems. Journal of Computational and Applied Mathematics. https://doi.org/10.1016/s0377-0427(00)00300-9

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.