Jia-Xing Liang

Recursive rounding of sample size estimation for multi-fidelity Monte Carlo

In multifidelity Monte Carlo (MFMC), optimal sample allocations are typically derived from a continuous relaxation of a variance minimization problem, with integer solutions obtained through post hoc rounding. Such rounding procedures may fail to fully exploit the available cost budget, particularly under tight cost bu...