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References

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M. Björkman and K. Holmström. Global Optimization Using the DIRECT Algorithm in Matlab. Advanced Modeling and Optimization, 1(2):17–37, 1999.

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M. Björkman and K. Holmström. Global Optimization of Costly Nonconvex Functions Using Radial Basis Functions. Optimization and Engineering, 1(4):373–397, 2000.

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C. D. Perttunen D. R. Jones and B. E. Stuckman. Lipschitzian optimization without the Lipschitz constant. October 1993.

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Matthias Schonlau Donald R. Jones and William J. Welch. Efficient global optimization of expensive Black-Box functions. 1998.

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Hans-Martin Gutmann. A radial basis for function method for global optimization, July 1999. Talk at IFIP TC7 Conference, Cambridge.

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Hans-Martin Gutmann. A radial basis function method for global optimization. Technical Report DAMTP 1999/NA22, Department of Applied Mathematics and Theoretical Physics, University of Cambridge, England, 1999.

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Hans-Martin Gutmann. On the semi-norm of radial basis function interpolants. Technical Report DAMTP 2000/NA04, Department of Applied Mathematics and Theoretical Physics, University of Cambridge, England, 2000.

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Hans-Martin Gutmann. A radial basis function method for global optimization. Journal of Global Optimization, 19:201–227, 2001.

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K. Holmström. The TOMLAB Optimization Environment in Matlab. Advanced Modeling and Optimization, 1(1):47–69, 1999.

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K. Holmström. The TOMLAB v2.0 Optimization Environment. In E. Dotzauer, M. Björkman, and K. Holmström, editors, Sixth Meeting of the Nordic Section of the Mathematical Programming Society. Proceedings, Opuscula 49, ISSN 1400-5468, Västerås, 1999. Mälardalen University, Sweden.

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K. Holmström and M. Björkman. The TOMLAB NLPLIB Toolbox for Nonlinear Programming. Advanced Modeling and Optimization, 1(1):70–86, 1999.

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Donald R. Jones. Encyclopedia of Optimization. To be published, 2001.

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M. J. D. Powell. The theory of radial basis function approximation in 1990. In W.A. Light, editor, Advances in Numerical Analysis, Volume 2: Wavelets, Subdivision Algorithms and Radial Basis Functions, pages 105–210. Oxford University Press, 1992.

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M. J. D. Powell. A review of algorithms for thin plate spline interpolation in two dimensions. In F. Fontanella, K. Jetter, and P. J. Laurent, editors, Advanced Topics in Multivariate Approximation, pages 303–322. World Scientific Publishing, River Edge, NJ, 1996.

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M. J. D. Powell. Recent research at Cambridge on radial basis functions. In M. D. Buhmann, M. Felten, D. Mache, and M. W. Müller, editors, New Developments in Approximation Theory, pages 215–232. Birkhäuser, Basel, 1999.

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