ex.m.fun

<p>The m() function supplied to Optimus() for reproducing Tutorial 5. This is
for the small executable example.</p>

datasets

A general-purpose optimisation engine that supports
i) Monte Carlo optimisation with Metropolis criterion [Metropolis et al. (1953) <doi:10.1063/1.1699114>, Hastings (1970) <doi:10.1093/biomet/57.1.97>]
and Acceptance Ratio Simulated Annealing [Kirkpatrick et al. (1983) <doi:10.1126/science.220.4598.671>, Černý (1985) <doi:10.1007/BF00940812>]
on multiple cores, and ii) Acceptance Ratio Replica Exchange Monte
Carlo Optimisation. In each case, the system pseudo-temperature is
dynamically adjusted such that the observed acceptance ratio is kept
near to the desired (fixed or changing) acceptance ratio.

Aleksandr B. Sahakyan

ROptimus

A Parallel General-Purpose Adaptive Optimisation Engine

Nicholas Andre G. Johnson

Liezel Tamon

Xin Liu

ex.m.fun function

Format

Tutorial 5 m() function — ex.m.fun

Tutorial 5 m() function

ex.m.fun: Tutorial 5 m() function

Description

Usage

Arguments

Format