Package edu.stanford.nlp.optimization

Numerical optimization, including a conjugate gradient implementation.

See:
          Description

Interface Summary
DiffFloatFunction An interface for once-differentiable double-valued functions over double arrays.
DiffFunction An interface for once-differentiable double-valued functions over double arrays.
FloatFunction An interface for double-valued functions over double arrays.
Function An interface for double-valued functions over double arrays.
HasFloatInitial Indicates that a function has a method for supplying an intitial value.
HasInitial Indicates that a function has a method for supplying an intitial value.
Minimizer<T extends Function> The interface for unconstrained function minimizers.
 

Class Summary
AbstractCachingDiffFloatFunction  
AbstractCachingDiffFunction  
QNMinimizer Limited-Memory Quasi-Newton BFGS implementation based on the algorithms in
ResultStoringFloatMonitor  
ResultStoringMonitor  
 

Package edu.stanford.nlp.optimization Description

Numerical optimization, including a conjugate gradient implementation. See the CGMinimizer and MinimizationExample for usage. @author Dan Klein



Stanford NLP Group