PUQ - PRISM UNCERTAINTY QUANTIFICATION FRAMEWORK

Contents:

• Overview
  • Goals
  • Future Plans
• User’s Guide and Tutorial
  • Getting Started
    • Requirements
  • Monte Carlo Sampling
    • Extending the Sample Size
  • Latin Hypercube Sampling
  • Smolyak Sparse Grid Algorithm
  • Modifying Smolyak Sweeps
    • Extending
    • Modifying Parameters & Reusing Response Surfaces
  • Calibration of Input Variables
    • Using PUQ for Calibration
    • Example
  • Sensitivity Analysis
    • Effect of Smolyak Level on Sensitivity
    • A More Complex Example
  • Using PUQ Analyze
    • Response Surfaces
    • Probability Density Functions (PDFs)
  • Using PUQ Read
  • Making PUQ Work With Your Code
    • C Programs
    • Matlab Programs
    • Wrappers
  • Handling Output
    • The Standard Way
    • When the Standard Way Doesn’t Work
    • A Custom Approach using the Datafilter
  • Using The PBS Scheduler
    • Batch Scripts
    • Using PBSHost
    • Examples
  • Plotting
    • PDF Plots
  • Using Output PDFs as Inputs
  • Handling Correlated PDFs
• Reference
  • calibrate
  • hdf - Functions for Accessing HDF5 Files
  • Hosts
  • Parameters
  • PDF
  • puqutil - Output Functions for PUQ
    • Output Format
    • Python Functions
    • Functions for C/C++
  • Smolyak UQ Method
  • Sweep Reference
  • TestProgram
  • PSweep Reference
• Examples
  • rosen
    • Contents

Indices and tables

• Index
• Module Index
• Search Page