d_spring_series example


This examples contains several Python scripts that  that propagate uncertainty
in input parameters through a series springs model using basis adaptation
approach, and is compared with Monte Carlo sampling method and non- intrusive
spectral projection (NISP) via sparse quadrature method.

For more information, look in UQTk manual under
Forward Propagation of Uncertainty Using Basis Adaptation

===============================================================================
FILES:

run_d_springs.py: main script

d_springs_tools.py: functions called by run_d_springs.py