Internal-helper-functions-for-MC_IS-open-paren-close-paren: Internal helper functions for Monte Carlo Importance Sampling...

In TesiproV: Reliability Analysis Methods for Structural Engineering

Internal helper functions for Monte Carlo Importance Sampling (MC_IS)

Description

This file contains internal helper functions used by the main function ['MC_IS()'] to perform Monte Carlo simulations with importance sampling.

The helpers defined here support: * random number generation and cluster setup, * creation of recorder objects for iterative logging, * single limit state simulation routine ('MC_IS_single()'), * conversion of recorded data to data frames after completion.

Additional helper sets will be provided for system calculations (serial and parallel systems) in separate files.

Details

These functions are not intended to be called directly by users. They are exported internally to allow modular access within the package.

Author(s)

(C) 2021-2026 K. Nille-Hauf, T. Feiri, M. Ricker, T. Lux – Hochschule Biberach (until 2022), TU Dortmund University - Chair of Structural Concrete (since 2023)

See Also

[TesiproV::MC_IS()] for the public interface that calls these helpers.

TesiproV documentation built on Oct. 28, 2026, 5:13 p.m.