Selection of anisotropic kernel parameters using multiple surrogate information-Reference-Cited by-同舟云学术

Selection of anisotropic kernel parameters using multiple surrogate information

Published:2012-09-11 Issue: Volume: Page:
ISSN:
Container-title:12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference
language:
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Author:

Basudhar Anirban¹

Affiliation:

1. Livermore Software Technology Corporation

Publisher

American Institute of Aeronautics and Astronautics

Link

http://arc.aiaa.org/doi/pdf/10.2514/6.2012-5576

Reference22 articles.

1. Design and Analysis of Computer Experiments in Multidisciplinary Design Optimization: A Review of How Far We Have Come - Or Not

2. On the Experimental Attainment of Optimum Conditions

3. 3Krige,D.,A statistical approach to somemine valuation and alliedproblemson the Witwatersrand,Master’sthesis,University of the Witwatersrand, 1951.

4. Radial Basis Functions

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