SimulatedAnnealing.CoolingSchedule (Apache Commons Math 4.0-SNAPSHOT)

All Superinterfaces:

BiFunction<Double,Simplex,Double>

Enclosing class:

SimulatedAnnealing
```
public static interface SimulatedAnnealing.CoolingSchedule
extends BiFunction<Double,Simplex,Double>
```
Specifies the cooling schedule. It computes the current temperature as a function of two arguments:
1. the previous temperature,
2. the current simplex.

Method Summary

Static Methods
Modifier and Type	Method	Description
`static SimulatedAnnealing.CoolingSchedule`	`aarstAndVanLaarhoven(double delta)`	Aarst and van Laarhoven (1985) scheme: \[ T_{i + 1} = \frac{T_{i}}{1 + \frac{T_i \ln(1 + \delta)}{3 \sigma}} \]
`static SimulatedAnnealing.CoolingSchedule`	`decreasingExponential(double f)`	Power-law cooling scheme: \[ T_i = T_0 * f^i \], where \( i \) is the current iteration.

Methods inherited from interface java.util.function.BiFunction
andThen, apply

- Method Detail
  - decreasingExponential
```
static SimulatedAnnealing.CoolingSchedule decreasingExponential(double f)
```
    Power-law cooling scheme: \[ T_i = T_0 * f^i \], where \( i \) is the current iteration.
    Note: Simplex argument (of the returned function) is not used.
    
    Parameters:
    
    f - Factor by which the temperature is decreased.
    
    Returns:
    
    the cooling schedule.
  - aarstAndVanLaarhoven
```
static SimulatedAnnealing.CoolingSchedule aarstAndVanLaarhoven(double delta)
```
    Aarst and van Laarhoven (1985) scheme: \[ T_{i + 1} = \frac{T_{i}}{1 + \frac{T_i \ln(1 + \delta)}{3 \sigma}} \]
    The simplex argument is used to compute the standard deviation (\(\sigma\)) of all the vertices' objective function value.
    
    Parameters:
    
    delta - Trajectory parameter. Values smaller than 1 entail slow convergence; values larger than 1 entail convergence to local optimum.
    
    Returns:
    
    the cooling schedule.