generateX0

Lower (finite) bounds for points generated.

Upper (finite) bounds for points generated.

The number of points to be generated.

The size of the pool of sets of randomly
generated points in determining the best set of points.

npool

A function to randomly generate <code>n0</code>-many points
within requested bounds, <code>lb</code>, <code>ub</code>.
The points selected are to have the largest, minimum
distance between any two points.

Hybrid Markov chain Monte Carlo (MCMC) to simulate from a
multimodal target distribution. A Gaussian process
approximation makes this possible when derivatives are unknown.
The Package serves to minimize the number of function
evaluations in Bayesian calibration of computer models using
parallel tempering. It allows replacement of the true target
distribution in high temperature chains, or complete replacement
of the target. Methods used are described in, "Efficient MCMC
schemes for computationally expensive posterior distributions",
Fielding et al. (2011) <doi:10.1198/TECH.2010.09195>.
The research presented in this work was carried out as part of
the Singapore-Delft Water Alliance Multi-Objective
Multi-Reservoir Management research programme (R-264-001-272).

generateX0: Generate some initial points for the hybrid explore phase

Description

Usage

Arguments

Value

References

See Also

Examples