Welcome to UncertainSCI’s documentation!

UncertainSCI source code

About UncertainSCI

UncertainSCI is a Python-based toolkit that harnesses modern techniques to estimate model and parametric uncertainty, with a particular emphasis on needs for biomedical simulations and applications. This toolkit enables non-intrusive integration of these techniques with well-established biomedical simulation software.

Contents:

• Getting Started with UncertainSCI
  • System Requirements
  • Installing UncertainSCI
  • Using UncertainSCI
• Support
  • Questions?
  • Bugs and Requests
• Tutorials
  • Demos
  • Template for Tutorial
• Developer Documentation
  • Making Tutorials
• API Documentation
  • Polynomial Spaces
  • Distributions
  • Polynomial Families
  • Polynomial Chaos Expansions

Contributors

Jake Bergquist, Dana Brooks, Zexin Liu, Rob MacLeod, Akil Narayan, Sumientra Rampersad, Lindsay Rupp, Jess Tate, Dan White

Acknowledgements

This project was supported by grants from the National Institute of Biomedical Imaging and Bioengineering (U24EB029012) from the National Institutes of Health.

Indices and Tables

• Index

• Module Index

• Search Page