Bayesian-validated computer-simulation surrogates for optimization and design: Error estimates and applications
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Publication:1404656
DOI10.1016/S0378-4754(97)00061-XzbMath1017.65506MaRDI QIDQ1404656
John Otto, Marius Paraschivoiu, Serhat Yesilyurt, Anthony T. Patera
Publication date: 21 August 2003
Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)
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Cites Work
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- Interactive system identification: prospects and pitfalls
- Decision theoretic generalizations of the PAC model for neural net and other learning applications
- Bayesian-validated computer-simulation surrogates for optimization and design: Error estimates and applications
- Design and analysis of computer experiments. With comments and a rejoinder by the authors
- Surrogates for numerical simulations; optimization of eddy-promoter heat exchangers
- A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code
- Algorithm 660: QSHEP2D: Quadratic Shepard Method for Bivariate Interpolation of Scattered Data
- A theory of the learnable
- Quasi-Monte Carlo methods and pseudo-random numbers
- Bayesian-Validated Surrogates for Noisy Computer Simulations; Application to Random Media
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