AnisotropicSimilarityTransformation

abstract def inverse: Transformation[D]

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

def andThen[A](g: (Point[D]) ⇒ A): (Point[D]) ⇒ A

def apply(x: Point[D]): Point[D]

The value of the image at a given point.

final def asInstanceOf[T0]: T0

def clone(): AnyRef

def compose[A](g: (A) ⇒ Point[D]): (A) ⇒ Point[D]

val domain: Domain[D]

The domain on which the image is defined

final def eq(arg0: AnyRef): Boolean

val f: (Point[D]) ⇒ Point[D]

a function that defines the image values.

def finalize(): Unit

final def getClass(): Class[_]

val innerTransform: ParametricTransformation[D] with CanDifferentiate[D]

transform to be applied first.

def isDefinedAt(pt: Point[D]): Boolean

True if the image is defined at the given point

final def isInstanceOf[T0]: Boolean

def liftValues: (Point[D]) ⇒ Option[Point[D]]

Lifts the definition of the value function such that it is defined everywhere, but yields none if the value is outside of the domain

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

val outerTransform: ParametricTransformation[D] with CanDifferentiate[D]

transform to be applied second.

val parameters: DenseVector[Float]

parameters of the composed transform.

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

def takeDerivative(x: Point[D]): SquareMatrix[D]

Derivative of the transform evaluated at a point

def toString(): String

final def wait(): Unit

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

final def wait(arg0: Long): Unit