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

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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
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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])
  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])

Type Members

  1. type BDV = DenseVector[Double]
  2. type History = CompactHessian

    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]
    Definition Classes
    FirstOrderMinimizer

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. def adjust(newX: DenseVector[Double], newGrad: DenseVector[Double], newVal: Double): (Double, DenseVector[Double])
    Attributes
    protected
    Definition Classes
    ProjectedQuasiNewton → FirstOrderMinimizer
  5. def adjustFunction(f: DiffFunction[DenseVector[Double]]): DiffFunction[DenseVector[Double]]
    Attributes
    protected
    Definition Classes
    FirstOrderMinimizer
  6. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  7. def calculateObjective(f: DiffFunction[DenseVector[Double]], x: DenseVector[Double], history: History): (Double, DenseVector[Double])
    Attributes
    protected
    Definition Classes
    FirstOrderMinimizer
  8. def chooseDescentDirection(state: State, fn: DiffFunction[DenseVector[Double]]): DenseVector[Double]
    Attributes
    protected
    Definition Classes
    ProjectedQuasiNewton → FirstOrderMinimizer
  9. def clone(): AnyRef
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @native() @HotSpotIntrinsicCandidate() @throws( ... )
  10. val convergenceCheck: ConvergenceCheck[DenseVector[Double]]
    Definition Classes
    FirstOrderMinimizer
  11. def determineStepSize(state: State, f: DiffFunction[DenseVector[Double]], dir: DenseVector[Double]): Double

    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
    Definition Classes
    AnyRef
  13. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  14. val gamma: Double
  15. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  16. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  17. def infiniteIterations(f: DiffFunction[DenseVector[Double]], state: State): Iterator[State]
    Definition Classes
    FirstOrderMinimizer
  18. val initFeas: Boolean
  19. def initialHistory(f: DiffFunction[DenseVector[Double]], init: DenseVector[Double]): History
    Attributes
    protected
    Definition Classes
    ProjectedQuasiNewton → FirstOrderMinimizer
  20. def initialState(f: DiffFunction[DenseVector[Double]], init: DenseVector[Double]): State
    Attributes
    protected
    Definition Classes
    FirstOrderMinimizer
  21. val innerOptimizer: SpectralProjectedGradient[DenseVector[Double]]
  22. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  23. def iterations(f: DiffFunction[DenseVector[Double]], init: DenseVector[Double]): Iterator[State]
    Definition Classes
    FirstOrderMinimizer
  24. def logger: LazyLogger
    Attributes
    protected
    Definition Classes
    SerializableLogging
  25. val m: Int
  26. val maxSrchIt: Int
  27. def minimize(f: DiffFunction[DenseVector[Double]], init: DenseVector[Double]): DenseVector[Double]
    Definition Classes
    FirstOrderMinimizer → Minimizer
  28. def minimizeAndReturnState(f: DiffFunction[DenseVector[Double]], init: DenseVector[Double]): State
    Definition Classes
    FirstOrderMinimizer
  29. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  30. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  31. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  32. def projectedVector(x: DenseVector[Double], g: DenseVector[Double])(implicit vspace: Module[DenseVector[Double], Double]): DenseVector[Double]
    Definition Classes
    Projecting
  33. val projection: (DenseVector[Double]) ⇒ DenseVector[Double]
    Definition Classes
    ProjectedQuasiNewton → Projecting
  34. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  35. def takeStep(state: State, dir: DenseVector[Double], stepSize: Double): DenseVector[Double]
    Attributes
    protected
    Definition Classes
    ProjectedQuasiNewton → FirstOrderMinimizer
  36. val testOpt: Boolean
  37. def toString(): String
    Definition Classes
    AnyRef → Any
  38. def updateHistory(newX: DenseVector[Double], newGrad: DenseVector[Double], newVal: Double, f: DiffFunction[DenseVector[Double]], oldState: State): History
    Attributes
    protected
    Definition Classes
    ProjectedQuasiNewton → FirstOrderMinimizer
  39. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  40. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @throws( ... )
  41. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Deprecated Value Members

  1. def finalize(): Unit
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @Deprecated @deprecated @throws( classOf[java.lang.Throwable] )
    Deprecated

    (Since version ) see corresponding Javadoc for more information.

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

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