geotrellis.vector.interpolation

LeastSquaresFittingProblem

abstract class LeastSquaresFittingProblem extends AnyRef

Computes fitting of the given empirical semivariogram using a ModelType's function definitions valueFunc() and jacobianFunc()

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Instance Constructors

  1. new LeastSquaresFittingProblem(x: Array[Double], y: Array[Double], start: Array[Double])

    x

    Empirical Semivariogram distance value

    y

    Empirical Semivariogram's corresponding variance values

    start

    Starting point for finding the optimization values of Semivariogram's parameters (range, sill, 0)

Abstract Value Members

  1. abstract def jacobianFunc(variables: Array[Double]): (Double) ⇒ Array[Double]

    Computes the differential values at the current point of Levenberg-Marquard optimization

  2. abstract def valueFunc(r: Double, s: Double, a: Double): (Double) ⇒ Double

    r

    Denotes current Range of Semivariogram while performing fitting optimization

    s

    Denotes current Sill of Semivariogram while performing fitting optimization

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  17. def optimum: Optimum

  18. def retMMF(): MultivariateMatrixFunction

  19. def retMVF(): MultivariateVectorFunction

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