Surrogates: Gaussian Process Modeling, Design, and Optimization for the Applied Sciences

By Tony Pourmohamad. Technometrics, 2020

535 citations recorded by the source corpus.

This book offers a good coverage of Gaussian Process for computer simulation experiments. Different from the classic textbook on this topic Santner et al. (2018), as the author stated, “this book m...

Subfields: Computational Theory and Mathematics, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/658a5778a2d290516ad7f15ada4313858e4d4a9e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Theory and Mathematics

1. Younhee Choi
2. J. Koo
3. D. Song
4. Sungmin Yoon

In Management Science and Operations Research

1. Younhee Choi
2. J. Koo
3. D. Song
4. Sungmin Yoon

Citations in the corpus

• Comparison of Factorial and Latin Hypercube Sampling Designs for Meta-Models of Building Heating and Cooling Loads (2021, methodology): “LHS is the representative method and the surrogate models are derived from the experimental results to analyze and represent the functional relationship between the response and design factors [24].”