Field Detail

• num_parameters_

  private int num_parameters_

• max_num_corrections_

  private int max_num_corrections_

• use_approximate_eigenvalue_scaling_

  private boolean use_approximate_eigenvalue_scaling_

• approximate_eigenvalue_scale_

  private double approximate_eigenvalue_scale_

• delta_x_history_

  private Jama.Matrix delta_x_history_

• delta_gradient_history_

  private Jama.Matrix delta_gradient_history_

• delta_x_dot_delta_gradient_

  private java.util.Vector<java.lang.Double> delta_x_dot_delta_gradient_

• indices_

  private java.util.LinkedList<java.lang.Integer> indices_

Constructor Detail

• LowRankInverseHessian

  public LowRankInverseHessian​(int num_parameters,
                               int max_num_corrections,
                               boolean use_approximate_eigenvalue_scaling)

Method Detail

• Update

  public boolean Update​(java.util.Vector<java.lang.Double> delta_x,
                        java.util.Vector<java.lang.Double> delta_gradient)

• RightMultiply

  public void RightMultiply​(java.util.Vector<java.lang.Double> x,
                            java.util.Vector<java.lang.Double> y)

• RightMultiply

  public void RightMultiply​(double[] x_ptr,
                            double[] y_ptr)

  Specified by:

  RightMultiply in class CeresSolver.LinearOperator

• LeftMultiply

  public void LeftMultiply​(double[] x,
                           double[] y)

  Specified by:

  LeftMultiply in class CeresSolver.LinearOperator

• num_rows

  public int num_rows()

  Specified by:

  num_rows in class CeresSolver.LinearOperator

• num_cols

  public int num_cols()

  Specified by:

  num_cols in class CeresSolver.LinearOperator