The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
A Radial Basis Function Method for Global Optimization
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Citations
Cites
Storn, R., & Price, K. (1997) · Journal of Global Optimization · doi:10.1023/a:1008202821328 · Cited by 29,569
Efficient Global Optimization of Expensive Black-Box Functions
Jones, D. R., Schonlau, M., & Welch, W. J. (1998) · Journal of Global Optimization · doi:10.1023/a:1008306431147 · Cited by 8,070
Lipschitzian optimization without the Lipschitz constant
Jones, D. R., Perttunen, C. D., & Stuckman, B. E. (1993) · Journal of Optimization Theory and Applications · doi:10.1007/bf00941892 · Cited by 1,976
Törn, A., & Žilinskas, A. (1989) · Cited by 1,673
Handbook of Global Optimization
(1995) · Nonconvex Optimization and Its Applications · doi:10.1007/978-1-4615-2025-2 · Cited by 1,628
A New Method of Locating the Maximum Point of an Arbitrary Multipeak Curve in the Presence of Noise
Kushner, H. J. (1964) · Journal of Basic Engineering · doi:10.1115/1.3653121 · Cited by 1,082
Analytic extensions of differentiable functions defined in closed sets
Whitney, H. (1934) · Transactions of the American Mathematical Society · doi:10.1090/s0002-9947-1934-1501735-3 · Cited by 866
Approximation Theory and Methods.
Wahlbin, L. B., & Powell, M. J. D. (1982) · Mathematics of Computation · doi:10.2307/2007351 · Cited by 805
Approximation Theory and Methods
Powell, M. J. D. (1981) · Cambridge University Press eBooks · doi:10.1017/cbo9781139171502 · Cited by 771
The Theory of Radial Basis Function Approximation in 1990
Powell, M. J. D. (1992) · Advances in Numerical Analysis · doi:10.1093/oso/9780198534396.003.0003 · Cited by 576
Cited by
Recent advances in surrogate-based optimization
Forrester, A. I. J., & Keane, A. J. (2009) · Progress in Aerospace Sciences · doi:10.1016/j.paerosci.2008.11.001 · Cited by 2,357
Derivative-free optimization: a review of algorithms and comparison of software implementations
Rios, L. M., & Sahinidis, N. V. (2013) · Journal of Global Optimization · doi:10.1007/s10898-012-9951-y · Cited by 1,276
A review of recent advances in global optimization
Floudas, C. A., & Gounaris, C. E. (2009) · Journal of Global Optimization · doi:10.1007/s10898-008-9332-8 · Cited by 455
Dynamical learning of a photonics quantum-state engineering process
Suprano, A., Zia, D., Polino, E., Giordani, T., Innocenti, L., Ferraro, A., Paternostro, M., Spagnolo, N., & Sciarrino, F. (2021) · Advanced Photonics · doi:10.1117/1.ap.3.6.066002 · Cited by 20
Metadata
- Authors
- Gutmann, H.-M.
- Venue
- Journal of Global Optimization
- Published
- 2001-03
- Volume
- 19
- Issue
- 3
- Pages
- 201-227
- ISSN
- 0925-5001 (ISSN-L)
- 1573-2916
- OpenAlex
- W1573878755
- Cited by
- 910
- References
- 12
- FWCI
- 11.01
- Type
- journal article
- Language
- en
- Open access
- closed
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- Gutmann, H.-M. (2001). A Radial Basis Function Method for Global Optimization. Journal of Global Optimization. https://doi.org/10.1023/a%3A1011255519438
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
