Field Detail

• logger

  protected static org.apache.log4j.Logger logger

Constructor Detail

• TransformInverseGradientDescent

  public TransformInverseGradientDescent(int ndims,
                                         ThinPlateR2LogRSplineKernelTransform xfm)

Method Detail

• setEps

  public void setEps(double eps)

• setStepSize

  public void setStepSize(double stepSize)

• setJacobian

  public void setJacobian(double[][] mtx)

• setTarget

  public void setTarget(double[] tgt)

• getErrorVector

  public org.ejml.data.DenseMatrix64F getErrorVector()

• getDirection

  public org.ejml.data.DenseMatrix64F getDirection()

• getJacobian

  public org.ejml.data.DenseMatrix64F getJacobian()

• setEstimate

  public void setEstimate(double[] est)

• setEstimateXfm

  public void setEstimateXfm(double[] est)

• getEstimate

  public org.ejml.data.DenseMatrix64F getEstimate()

• getError

  public double getError()

• oneIteration

  public void oneIteration()

• oneIteration

  public void oneIteration(boolean updateError)

• computeDirectionSteepest

  public void computeDirectionSteepest()

  Computes 2A^T(Ax - b ) using the current matrix as A, the current error vector as b, and the current estimate as x

• computeDirection

  public void computeDirection()

• backtrackingLineSearch

  public double backtrackingLineSearch(double c,
                                       double beta,
                                       int maxtries,
                                       double t0)

  Uses Backtracking Line search to determine a step size.

  Parameters:

  c - the armijoCondition parameter

  beta - the fraction to multiply the step size at each iteration ( less than 1 )

  maxtries - max number of tries

  t0 - initial step size

  Returns:

  the step size

• armijoCondition

  public boolean armijoCondition(double c,
                                 double t)

  Returns true if the armijo condition is satisfied.

  Parameters:

  c - the c parameter

  t - the step size

  Returns:

  true if the step size satisfies the condition

• squaredError

  public double squaredError(double[] x)

• updateEstimate

  public void updateEstimate(double stepSize)

• updateEstimateNormBased

  public void updateEstimateNormBased(double stepSize)

• updateError

  public void updateError()

• sumSquaredErrors

  public static double sumSquaredErrors(double[] y,
                                        double[] x)

• copyVectorIntoArray

  public static void copyVectorIntoArray(org.ejml.data.DenseMatrix64F vec,
                                         double[] array)