"Surrogates: Gaussian Process Modeling, Design, and Optimization for the ..."

Tony Pourmohamad (2021)

> Home

Details and statistics

DOI: 10.1080/00401706.2020.1865008

access: closed

type: Journal Article

metadata version: 2021-02-11

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/technometrics/Pourmohamad21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/technometrics/Pourmohamad21
Tony Pourmohamad:
Surrogates: Gaussian Process Modeling, Design, and Optimization for the Applied Sciences. Technometrics 63(1): 144-145 (2021)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.