edu.stanford.nlp.optimization
Interface Minimizer<T extends Function>
- All Known Implementing Classes:
- QNMinimizer, ScaledSGDMinimizer, SGDMinimizer, SGDToQNMinimizer, SMDMinimizer, StochasticMinimizer
public interface Minimizer<T extends Function>
The interface for unconstrained function minimizers.
Implementations may also vary in their requirements for the
arguments. For example, implementations may or may not care if the
initial
feasible vector turns out to be non-feasible
(or null!). Similarly, some methods may insist that objectives
and/or constraint Function
objects actually be
DiffFunction
objects.
- Since:
- 1.0
- Author:
- Dan Klein
Method Summary |
double[] |
minimize(T function,
double functionTolerance,
double[] initial)
Attempts to find an unconstrained minimum of the objective
function starting at initial , within
functionTolerance . |
double[] |
minimize(T function,
double functionTolerance,
double[] initial,
int maxIterations)
|
minimize
double[] minimize(T function,
double functionTolerance,
double[] initial)
- Attempts to find an unconstrained minimum of the objective
function
starting at initial
, within
functionTolerance
.
- Parameters:
function
- the objective functionfunctionTolerance
- a double
valueinitial
- a initial feasible point
- Returns:
- Unconstrained minimum of function
minimize
double[] minimize(T function,
double functionTolerance,
double[] initial,
int maxIterations)
Stanford NLP Group