Class/Object

breeze.optimize

ProjectedQuasiNewton

Related Docs: object ProjectedQuasiNewton | package optimize

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class ProjectedQuasiNewton extends FirstOrderMinimizer[DenseVector[Double], DiffFunction[DenseVector[Double]]] with Projecting[DenseVector[Double]] with SerializableLogging

Linear Supertypes
Projecting[DenseVector[Double]], FirstOrderMinimizer[DenseVector[Double], DiffFunction[DenseVector[Double]]], SerializableLogging, Serializable, Serializable, Minimizer[DenseVector[Double], DiffFunction[DenseVector[Double]]], AnyRef, Any
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Inherited
  1. ProjectedQuasiNewton
  2. Projecting
  3. FirstOrderMinimizer
  4. SerializableLogging
  5. Serializable
  6. Serializable
  7. Minimizer
  8. AnyRef
  9. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new ProjectedQuasiNewton(tolerance: Double = 1e-6, m: Int = 10, initFeas: Boolean = false, testOpt: Boolean = true, maxIter: Int = 1, maxSrchIt: Int = 50, gamma: Double = 1e-4, projection: (DenseVector[Double]) ⇒ DenseVector[Double] = identity, relativeTolerance: Boolean = true)(implicit space: MutableInnerProductModule[DenseVector[Double], Double])

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  2. new ProjectedQuasiNewton(convergenceCheck: ConvergenceCheck[DenseVector[Double]], innerOptimizer: SpectralProjectedGradient[DenseVector[Double]], m: Int, initFeas: Boolean, testOpt: Boolean, maxSrchIt: Int, gamma: Double, projection: (DenseVector[Double]) ⇒ DenseVector[Double])(implicit space: MutableInnerProductModule[DenseVector[Double], Double])

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Type Members

  1. type BDV = DenseVector[Double]

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  2. type History = CompactHessian

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    Any history the derived minimization function needs to do its updates.

    Any history the derived minimization function needs to do its updates. typically an approximation to the second derivative/hessian matrix.

    Definition Classes
    ProjectedQuasiNewton → FirstOrderMinimizer

  3. type State = FirstOrderMinimizer.State[DenseVector[Double], Info, History]

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    Definition Classes
    FirstOrderMinimizer

Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

  3. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  4. def adjust(newX: DenseVector[Double], newGrad: DenseVector[Double], newVal: Double): (Double, DenseVector[Double])

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    Attributes
    protected
    Definition Classes
    ProjectedQuasiNewton → FirstOrderMinimizer

  5. def adjustFunction(f: DiffFunction[DenseVector[Double]]): DiffFunction[DenseVector[Double]]

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    Attributes
    protected
    Definition Classes
    FirstOrderMinimizer

  6. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  7. def calculateObjective(f: DiffFunction[DenseVector[Double]], x: DenseVector[Double], history: History): (Double, DenseVector[Double])

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    Attributes
    protected
    Definition Classes
    FirstOrderMinimizer

  8. def chooseDescentDirection(state: State, fn: DiffFunction[DenseVector[Double]]): DenseVector[Double]

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    Attributes
    protected
    Definition Classes
    ProjectedQuasiNewton → FirstOrderMinimizer

  9. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  10. val convergenceCheck: ConvergenceCheck[DenseVector[Double]]

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    Definition Classes
    FirstOrderMinimizer

  11. def determineStepSize(state: State, f: DiffFunction[DenseVector[Double]], dir: DenseVector[Double]): Double

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    Given a direction, perform a Strong Wolfe Line Search

    Given a direction, perform a Strong Wolfe Line Search

    TO DO: Compare performance with Cubic Interpolation based line search from Mark's PQN paper

    state

    the current state

    f

    The objective

    dir

    The step direction

    returns

    stepSize

    Attributes
    protected
    Definition Classes
    ProjectedQuasiNewton → FirstOrderMinimizer

  12. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  13. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  14. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  15. val gamma: Double

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  16. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any

  17. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  18. def infiniteIterations(f: DiffFunction[DenseVector[Double]], state: State): Iterator[State]

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    Definition Classes
    FirstOrderMinimizer

  19. val initFeas: Boolean

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  20. def initialHistory(f: DiffFunction[DenseVector[Double]], init: DenseVector[Double]): History

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    Attributes
    protected
    Definition Classes
    ProjectedQuasiNewton → FirstOrderMinimizer

  21. def initialState(f: DiffFunction[DenseVector[Double]], init: DenseVector[Double]): State

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    Attributes
    protected
    Definition Classes
    FirstOrderMinimizer

  22. val innerOptimizer: SpectralProjectedGradient[DenseVector[Double]]

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  23. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  24. def iterations(f: DiffFunction[DenseVector[Double]], init: DenseVector[Double]): Iterator[State]

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    Definition Classes
    FirstOrderMinimizer

  25. def logger: LazyLogger

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    Attributes
    protected
    Definition Classes
    SerializableLogging

  26. val m: Int

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  27. val maxSrchIt: Int

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  28. def minimize(f: DiffFunction[DenseVector[Double]], init: DenseVector[Double]): DenseVector[Double]

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    Definition Classes
    FirstOrderMinimizer → Minimizer

  29. def minimizeAndReturnState(f: DiffFunction[DenseVector[Double]], init: DenseVector[Double]): State

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    Definition Classes
    FirstOrderMinimizer

  30. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  31. final def notify(): Unit

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    Definition Classes
    AnyRef

  32. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  33. def projectedVector(x: DenseVector[Double], g: DenseVector[Double])(implicit vspace: Module[DenseVector[Double], Double]): DenseVector[Double]

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    Definition Classes
    Projecting

  34. val projection: (DenseVector[Double]) ⇒ DenseVector[Double]

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    Definition Classes
    ProjectedQuasiNewton → Projecting

  35. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef

  36. def takeStep(state: State, dir: DenseVector[Double], stepSize: Double): DenseVector[Double]

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    Attributes
    protected
    Definition Classes
    ProjectedQuasiNewton → FirstOrderMinimizer

  37. val testOpt: Boolean

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  38. def toString(): String

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    Definition Classes
    AnyRef → Any

  39. def updateHistory(newX: DenseVector[Double], newGrad: DenseVector[Double], newVal: Double, f: DiffFunction[DenseVector[Double]], oldState: State): History

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    Attributes
    protected
    Definition Classes
    ProjectedQuasiNewton → FirstOrderMinimizer

  40. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  41. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  42. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Projecting[DenseVector[Double]]

Inherited from FirstOrderMinimizer[DenseVector[Double], DiffFunction[DenseVector[Double]]]

Inherited from SerializableLogging

Inherited from Serializable

Inherited from Serializable

Inherited from Minimizer[DenseVector[Double], DiffFunction[DenseVector[Double]]]

Inherited from AnyRef

Inherited from Any

Ungrouped