UQLab Examples ➜ Reliability analysis ➜ Advanced active learning reliability
Active learning reliability –
Basic usage ➜
Learn how to build custom active learning solution schemes and reconstruct the classical AK-MCS method.
Two-dimensional hat function ➜
See how different simulation-based methods perform on a highly non-linear limit state function.
Kriging – Estimation methods /
Optimization strategies ➜
Learn how to use maximum likelihood or leave-one-out cross-validation as well as various optimization strategies.
Simple R-S limit state function ➜
Learn how to apply all of the available reliability analysis algorithms on a classic linear example: the R-S case.