mlpack
gitmaster

The exponential cooling schedule cools the temperature T at every step according to the equation. More...
Public Member Functions  
ExponentialSchedule (const double lambda=0.001)  
double  Lambda () const 
Get the cooling speed, lambda. More...  
double &  Lambda () 
Modify the cooling speed, lambda. More...  
double  NextTemperature (const double currentTemperature, const double) 
Returns the next temperature given current status. More...  
Detailed Description
The exponential cooling schedule cools the temperature T at every step according to the equation.
where is the cooling speed. The smaller is, the slower the cooling speed, and better the final result will be. Some literature uses instead. In practice, is very close to 1 and will be awkward to input (e.g. alpha = 0.999999 vs lambda = 1e6).
Definition at line 32 of file exponential_schedule.hpp.
Constructor & Destructor Documentation
◆ ExponentialSchedule()

inline 
Definition at line 40 of file exponential_schedule.hpp.
Member Function Documentation
◆ Lambda() [1/2]

inline 
Get the cooling speed, lambda.
Definition at line 57 of file exponential_schedule.hpp.
◆ Lambda() [2/2]

inline 
Modify the cooling speed, lambda.
Definition at line 59 of file exponential_schedule.hpp.
◆ NextTemperature()

inline 
Returns the next temperature given current status.
The current system's energy is not used in this calculation.
 Parameters

currentTemperature Current temperature of system. currentEnergy Current energy of system (not used).
Definition at line 49 of file exponential_schedule.hpp.
The documentation for this class was generated from the following file:
 src/mlpack/core/optimizers/sa/exponential_schedule.hpp
Generated by 1.8.13