Package edu.stanford.nlp.optimization

Numerical optimization, including a conjugate gradient implementation.

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          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.
Minimizer The interface for unconstrained function minimizers.
 

Class Summary
QNMinimizer Limited-Memory Quasi-Newton BFGS implementation based on the algorithms in Jorge Norcedal's Numerical Optimization book (pg 224+) As of now, it requires a differentiable function (DiffFunction) as input.
 

Package edu.stanford.nlp.optimization Description

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