• Appendix: Example Problems
  • Chapter 1: Sampling Plans
  • Chapter 2: Constructing a Surrogate
  • Chapter 3: Exploring and Exploiting a Surrogate
  • Chapter 4: Visualisation
  • Chapter 5: Constraints
  • Chapter 6: Infill Criteria with Noisy Data
  • Chapter 7: Exploiting Gradient Information
  • Chapter 8: Multi-fidelity Analysis
  • Chapter 9: Multiple Design Objectives
  • Errata

Optimization Codes

~ for design and analysis of computational and physical experiments

Author Archives: alexanderforrester

Surrogate modelling – sampling, emulation, and optimization

05 Wednesday Nov 2014

Posted by alexanderforrester in Uncategorized

≈ 8 Comments

This site is designed to accompany the book “Engineering Design via Surrogate Modelling: a Practical Guide”. Here you will find the Matlab toolbox, used extensively in the book, further example scripts, and also a forum for topics surrounding the use of surrogate models.

We have recently updated the code here to use ‘anonymous functions’ instead of ‘global variables’. This means that examples cannot be copied verbatim from the book, but alleviates confusion with local copies of global variables when implementing more advanced methods. Do let us know how you get on with the new version.

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Book Chapters

  • Appendix: Example Problems
  • Chapter 1: Sampling Plans
  • Chapter 2: Constructing a Surrogate
  • Chapter 3: Exploring and Exploiting a Surrogate
  • Chapter 4: Visualisation
  • Chapter 5: Constraints
  • Chapter 6: Infill Criteria with Noisy Data
  • Chapter 7: Exploiting Gradient Information
  • Chapter 8: Multi-fidelity Analysis
  • Chapter 9: Multiple Design Objectives
  • Errata

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