| Name | Description | Type | Package | Framework |
| AbstractCachingDiffFloatFunction | Class | edu.stanford.nlp.optimization | Stanford Parser | |
| AbstractCachingDiffFunction | Class | edu.stanford.nlp.optimization | Stanford Parser | |
| AbstractStochasticCachingDiffFunction | Class | edu.stanford.nlp.optimization | Stanford Parser | |
| AbstractStochasticCachingDiffFunction .SamplingMethod | Returns the enum constant of this type | Class | edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction | Stanford Parser |
| AbstractStochasticCachingDiffUpdateFunction | Function for stochastic calculations that does update in place (instead of maintaining and returning the derivative). | Class | edu.stanford.nlp.optimization | Stanford Parser |
| CGMinimizer | Conjugate-gradient implementation based on the code in Numerical Recipes in C. | Class | edu.stanford.nlp.optimization | Stanford Parser |
| CmdEvaluator | Class | edu.stanford.nlp.optimization | Stanford Parser | |
| DiffFloatFunction | An interface for once-differentiable double-valued functions over double arrays. | Interface | edu.stanford.nlp.optimization | Stanford Parser |
| DiffFunction | An interface for once-differentiable double-valued functions over double arrays. | Interface | edu.stanford.nlp.optimization | Stanford Parser |
| FloatFunction | An interface for double-valued functions over double arrays. | Interface | edu.stanford.nlp.optimization | Stanford Parser |
| Function | An interface for double-valued functions over double arrays. | Interface | edu.stanford.nlp.optimization | Stanford Parser |
| GoldenSectionLineSearch | A class to do golden section line search. | Class | edu.stanford.nlp.optimization | Stanford Parser |
| HasEvaluators | Interface | edu.stanford.nlp.optimization | Stanford Parser | |
| HasFeatureGrouping | Interface | edu.stanford.nlp.optimization | Stanford Parser | |
| HasFloatInitial | Indicates that a function has a method for supplying an intitial value. | Interface | edu.stanford.nlp.optimization | Stanford Parser |
| HasInitial | Indicates that a function has a method for supplying an intitial value. | Interface | edu.stanford.nlp.optimization | Stanford Parser |
| HasRegularizerParamRange | Indicates that a Function should only be regularized on a subsetgetRegularizerParamRange | Interface | edu.stanford.nlp.optimization | Stanford Parser |
| HybridMinimizer | Hybrid Minimizer is set up as a combination of two minimizers. | Class | edu.stanford.nlp.optimization | Stanford Parser |
| InefficientSGDMinimizer | Stochastic Gradient Descent Minimizer. | Class | edu.stanford.nlp.optimization | Stanford Parser |
| LineSearcher | The interface for one variable function minimizers. | Interface | edu.stanford.nlp.optimization | Stanford Parser |
| MemoryEvaluator | Class | edu.stanford.nlp.optimization | Stanford Parser | |
| Minimizer | The interface for unconstrained function minimizers. | Interface | edu.stanford.nlp.optimization | Stanford Parser |
| QNMinimizer | An implementation of L-BFGS for Quasi Newton unconstrained minimization. | Class | edu.stanford.nlp.optimization | Stanford Parser |
| QNMinimizer .eLineSearch | Returns the enum constant of this type with the specified name. | Class | edu.stanford.nlp.optimization.QNMinimizer | Stanford Parser |
| QNMinimizer .eScaling | Returns the enum constant of this type with the specified name. | Class | edu.stanford.nlp.optimization.QNMinimizer | Stanford Parser |
| QNMinimizer .eState | Returns the enum constant of this type with the specified name. | Class | edu.stanford.nlp.optimization.QNMinimizer | Stanford Parser |
| QNMinimizer .SurpriseConvergence | Class | edu.stanford.nlp.optimization.QNMinimizer | Stanford Parser | |
| ResultStoringFloatMonitor | Class | edu.stanford.nlp.optimization | Stanford Parser | |
| ResultStoringMonitor | Class | edu.stanford.nlp.optimization | Stanford Parser | |
| ScaledSGDMinimizer | Stochastic Gradient Descent To Quasi Newton Minimizer. | Class | edu.stanford.nlp.optimization | Stanford Parser |
| ScaledSGDMinimizer .Weights | Class | edu.stanford.nlp.optimization.ScaledSGDMinimizer | Stanford Parser | |
| SGDMinimizer | In place Stochastic Gradient Descent Minimizer. | Class | edu.stanford.nlp.optimization | Stanford Parser |
| SGDToQNMinimizer | Stochastic Gradient Descent To Quasi Newton Minimizer An experimental minimizer which takes a stochastic function (one implementing AbstractStochasticCachingDiffFunction) | Class | edu.stanford.nlp.optimization | Stanford Parser |
| SGDWithAdaGradAndFOBOS | Stochastic Gradient Descent With AdaGrad and FOBOS in batch mode. | Class | edu.stanford.nlp.optimization | Stanford Parser |
| SGDWithAdaGradAndFOBOS .Prior | Returns the enum constant of this type with the specified name. | Class | edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS | Stanford Parser |
| SMDMinimizer | Stochastic Meta Descent Minimizer based on Accelerated training of conditional random fields with stochastic gradient methods | Class | edu.stanford.nlp.optimization | Stanford Parser |
| SQNMinimizer | Online Limited-Memory Quasi-Newton BFGS implementation based on the algorithms in Nocedal, Jorge, and Stephen J. | Class | edu.stanford.nlp.optimization | Stanford Parser |
| StochasticCalculateMethods | enum StochasticCalculateMethodsThis enumeratin was created to organize the selection of different methods for stochastic | Class | edu.stanford.nlp.optimization | Stanford Parser |
| StochasticDiffFunctionTester | Class | edu.stanford.nlp.optimization | Stanford Parser | |
| StochasticMinimizer | Stochastic Gradient Descent Minimizer. | Class | edu.stanford.nlp.optimization | Stanford Parser |
| AbstractCachingDiffFloatFunction | Class | edu.stanford.nlp.optimization | JavaNlp | |
| AbstractCachingDiffFunction | Class | edu.stanford.nlp.optimization | JavaNlp | |
| AbstractStochasticCachingDiffFunction | Class | edu.stanford.nlp.optimization | JavaNlp | |
| AbstractStochasticCachingDiffFunction .SamplingMethod | Returns the enum constant of this type | Class | edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction | JavaNlp |
| AbstractStochasticCachingDiffUpdateFunction | Function for stochastic calculations that does update in place (instead of maintaining and returning the derivative). | Class | edu.stanford.nlp.optimization | JavaNlp |
| CGMinimizer | Conjugate-gradient implementation based on the code in Numerical Recipes in C. | Class | edu.stanford.nlp.optimization | JavaNlp |
| CmdEvaluator | Class | edu.stanford.nlp.optimization | JavaNlp | |
| DiffFloatFunction | An interface for once-differentiable double-valued functions over double arrays. | Interface | edu.stanford.nlp.optimization | JavaNlp |
| DiffFunction | An interface for once-differentiable double-valued functions over double arrays. | Interface | edu.stanford.nlp.optimization | JavaNlp |
| Evaluator | Interface | edu.stanford.nlp.optimization | JavaNlp | |
| FloatFunction | An interface for double-valued functions over double arrays. | Interface | edu.stanford.nlp.optimization | JavaNlp |
| Function | An interface for double-valued functions over double arrays. | Interface | edu.stanford.nlp.optimization | JavaNlp |
| GoldenSectionLineSearch | A class to do golden section line search. | Class | edu.stanford.nlp.optimization | JavaNlp |
| HasEvaluators | Interface | edu.stanford.nlp.optimization | JavaNlp | |
| HasFeatureGrouping | Interface | edu.stanford.nlp.optimization | JavaNlp | |
| HasFloatInitial | Indicates that a function has a method for supplying an intitial value. | Interface | edu.stanford.nlp.optimization | JavaNlp |
| HasInitial | Indicates that a function has a method for supplying an intitial value. | Interface | edu.stanford.nlp.optimization | JavaNlp |
| HasRegularizerParamRange | Indicates that a Function should only be regularized on a subsetgetRegularizerParamRange | Interface | edu.stanford.nlp.optimization | JavaNlp |
| HybridMinimizer | Hybrid Minimizer is set up as a combination of two minimizers. | Class | edu.stanford.nlp.optimization | JavaNlp |
| InefficientSGDMinimizer | Stochastic Gradient Descent Minimizer. | Class | edu.stanford.nlp.optimization | JavaNlp |
| LineSearcher | The interface for one variable function minimizers. | Interface | edu.stanford.nlp.optimization | JavaNlp |
| MemoryEvaluator | Class | edu.stanford.nlp.optimization | JavaNlp | |
| Minimizer | The interface for unconstrained function minimizers. | Interface | edu.stanford.nlp.optimization | JavaNlp |
| QNMinimizer | An implementation of L-BFGS for Quasi Newton unconstrained minimization. | Class | edu.stanford.nlp.optimization | JavaNlp |
| QNMinimizer .eLineSearch | Returns the enum constant of this type with the specified name. | Class | edu.stanford.nlp.optimization.QNMinimizer | JavaNlp |
| QNMinimizer .eScaling | Returns the enum constant of this type with the specified name. | Class | edu.stanford.nlp.optimization.QNMinimizer | JavaNlp |
| QNMinimizer .eState | Returns the enum constant of this type with the specified name. | Class | edu.stanford.nlp.optimization.QNMinimizer | JavaNlp |
| QNMinimizer .SurpriseConvergence | Class | edu.stanford.nlp.optimization.QNMinimizer | JavaNlp | |
| ResultStoringFloatMonitor | Class | edu.stanford.nlp.optimization | JavaNlp | |
| ResultStoringMonitor | Class | edu.stanford.nlp.optimization | JavaNlp | |
| ScaledSGDMinimizer | Stochastic Gradient Descent To Quasi Newton Minimizer. | Class | edu.stanford.nlp.optimization | JavaNlp |
| ScaledSGDMinimizer .Weights | Class | edu.stanford.nlp.optimization.ScaledSGDMinimizer | JavaNlp | |
| SGDMinimizer | In place Stochastic Gradient Descent Minimizer. | Class | edu.stanford.nlp.optimization | JavaNlp |
| SGDToQNMinimizer | Stochastic Gradient Descent To Quasi Newton Minimizer An experimental minimizer which takes a stochastic function (one implementing AbstractStochasticCachingDiffFunction) | Class | edu.stanford.nlp.optimization | JavaNlp |
| SGDWithAdaGradAndFOBOS | Stochastic Gradient Descent With AdaGrad and FOBOS in batch mode. | Class | edu.stanford.nlp.optimization | JavaNlp |
| SGDWithAdaGradAndFOBOS .Prior | Returns the enum constant of this type with the specified name. | Class | edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS | JavaNlp |
| SMDMinimizer | Stochastic Meta Descent Minimizer based on Accelerated training of conditional random fields with stochastic gradient methods | Class | edu.stanford.nlp.optimization | JavaNlp |
| SQNMinimizer | Online Limited-Memory Quasi-Newton BFGS implementation based on the algorithms in Nocedal, Jorge, and Stephen J. | Class | edu.stanford.nlp.optimization | JavaNlp |
| StochasticCalculateMethods | enum StochasticCalculateMethodsThis enumeratin was created to organize the selection of different methods for stochastic | Class | edu.stanford.nlp.optimization | JavaNlp |
| StochasticDiffFunctionTester | Class | edu.stanford.nlp.optimization | JavaNlp | |
| StochasticMinimizer | Stochastic Gradient Descent Minimizer. | Class | edu.stanford.nlp.optimization | JavaNlp |
| StochasticMinimizer .PropertySetter | Interface | edu.stanford.nlp.optimization.StochasticMinimizer | JavaNlp | |