Description Usage Arguments Details Value Author(s) References See Also Examples

The function can be called from the objective and neighbourhood
function during a run of `SAopt`

; it provides information
such as the current iteration, the current solution, etc.

1 | ```
SA.info(n = 0L)
``` |

`n` |
generational offset; see Details. |

**This function is still experimental.**

The function can be called in the neighbourhood function or the
objective function during a run of `SAopt`

. It evaluates
to a list with information about the state of the optimisation run,
such as the current iteration or the currently best solution.

`SA.info`

relies on `parent.frame`

to retrieve its
information. If the function is called within another function within
the neighbourhood or objective function, the argument `n`

needs
to be increased.

A list

`calibration` |
logical: whether the algorithm is calibrating the acceptance probability |

`iteration` |
current iteration |

`step` |
current step for the given temperature level |

`temperature` |
current temperature (the number, not the value) |

`xbest` |
the best solution found so far |

Enrico Schumann

Gilli, M., Maringer, D. and Schumann, E. (2011) *Numerical
Methods and Optimization in Finance*. Elsevier.
http://www.elsevierdirect.com/product.jsp?isbn=9780123756626

Schumann, E. (2017) Financial Optimisation with R (NMOF Manual). http://enricoschumann.net/NMOF.htm#NMOFmanual

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | ```
### MINIMAL EXAMPLE for SAopt
## the objective function evaluates to a constant
fun <- function(x)
0
## the neighbourhood function does not even change
## the solution; it only reports information
nb <- function(x) {
info <- SA.info()
cat("current step ", info$step,
"| current iteration ", info$iteration, "\n")
x
}
## run SA
algo <- list(nS = 5, nT = 2, nD = 10,
initT = 1,
x0 = rep(0, 5),
neighbour = nb,
printBar = FALSE)
ignore <- SAopt(fun, algo)
``` |

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