CODES Toolbox
The CODES toolbox is a repository of techniques used or developed by the Computational Optimal Design of Engineering Systems (CODES) laboratory at the University of Arizona. These techniques are aimed at facilitating the computational design optimization and reliability assessment of systems involving large computational simulation times and highly nonlinear behaviors. Through a set of high-level MATLAB functions, it is our hope that this toolbox will help disseminate the use of these techniques which are applicable to a large range of problems.
Available Documentation
- User Guide: Installation instructions and other information.
- Getting started: A simple example highlighting some of the key features of the CODES toolbox.
- Meta-models: Metamodel functions including SVM and Kriging.
- Adaptive sampling: Adaptive sampling techniques developed in the CODES laboratory (e.g., generalized max-min).
- Sensitivity analysis: Sensitivity analysis techniques for dimensionality reduction (e.g., Sobol').
- Reliability assessment: Sampling and moment-based approaches for reliability assessment.
- Demos and examples: Examples demonstrating the capabilities of the toolbox.
- Other functions and utilities
Contributors
Principal Investigator Samy Missoum |
Lead programmer Sylvain Lacaze |
Contributor Ethan Boroson |
Contributor Peng Jiang |
Copyright © 2015 Computational Optimal Design of Engineering Systems (CODES) Laboratory. University of Arizona.
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Computational Optimal Design of Engineering Systems |
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