Class

breeze.optimize

StrongWolfeLineSearch

Related Doc: package optimize

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class StrongWolfeLineSearch extends CubicLineSearch

Linear Supertypes
CubicLineSearch, MinimizingLineSearch, SerializableLogging, Serializable, Serializable, AnyRef, Any
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Inherited
  1. StrongWolfeLineSearch
  2. CubicLineSearch
  3. MinimizingLineSearch
  4. SerializableLogging
  5. Serializable
  6. Serializable
  7. AnyRef
  8. Any
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Instance Constructors

  1. new StrongWolfeLineSearch(maxZoomIter: Int, maxLineSearchIter: Int)

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Type Members

  1. case class Bracket(t: Double, dd: Double, fval: Double) extends Product with Serializable

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    Definition Classes
    CubicLineSearch

Value Members

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

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    AnyRef → Any

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

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    Definition Classes
    AnyRef → Any

  4. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  5. val c1: Double

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  6. val c2: Double

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  7. def clone(): AnyRef

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

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

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    Definition Classes
    AnyRef

  9. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

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

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    AnyRef → Any
    Annotations
    @HotSpotIntrinsicCandidate()

  11. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
    Annotations
    @HotSpotIntrinsicCandidate()

  12. def interp(l: Bracket, r: Bracket): Double

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    Definition Classes
    CubicLineSearch

  13. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  14. def logger: LazyLogger

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    Attributes
    protected
    Definition Classes
    SerializableLogging

  15. def minimize(f: DiffFunction[Double], init: Double = 1.0): Double

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    Definition Classes
    StrongWolfeLineSearch → CubicLineSearch → MinimizingLineSearch

  16. def minimizeWithBound(f: DiffFunction[Double], init: Double = 1.0, bound: Double = 1.0): Double

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    Performs a line search on the function f with bound, returning a point satisfying the Strong Wolfe conditions OR satisfying sufficient decrease condition and hit bound.

    Performs a line search on the function f with bound, returning a point satisfying the Strong Wolfe conditions OR satisfying sufficient decrease condition and hit bound. Based on the line search detailed in Nocedal & Wright Numerical Optimization p58. BUT add some modification for bound checking.

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

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    Definition Classes
    AnyRef

  18. final def notify(): Unit

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    AnyRef
    Annotations
    @HotSpotIntrinsicCandidate()

  19. final def notifyAll(): Unit

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    AnyRef
    Annotations
    @HotSpotIntrinsicCandidate()

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

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    Definition Classes
    AnyRef

  21. def toString(): String

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    Definition Classes
    AnyRef → Any

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

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    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
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    @throws( ... )

  24. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Deprecated Value Members

  1. def finalize(): Unit

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    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 CubicLineSearch

Inherited from MinimizingLineSearch

Inherited from SerializableLogging

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped