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package org.spaceroots.mantissa.quadrature.vectorial;

import org.spaceroots.mantissa.functions.vectorial.*;
import org.spaceroots.mantissa.functions.FunctionException;
import org.spaceroots.mantissa.functions.ExhaustedSampleException;

/** This class implements a Riemann integrator as a sample.

 * <p>A Riemann integrator is a very simple one that assumes the
 * function is constant over the integration step. Since it is very
 * simple, this algorithm needs very small steps to achieve high
 * accuracy, and small steps lead to numerical errors and
 * instabilities.</p>

 * <p>This algorithm is almost never used and has been included in
 * this package only as a simple template for more useful
 * integrators.</p>

 * @see RiemannIntegrator

 * @version $Id$
 * @author L. Maisonobe

 */

public class RiemannIntegratorSampler
  implements SampledFunctionIterator {

  /** Underlying sample iterator. */
  private SampledFunctionIterator iter;

  /** Current point. */
  private VectorialValuedPair current;

  /** Current running sum. */
  private double[] sum;

  /** Constructor.
   * Build an integrator from an underlying sample iterator.
   * @param iter iterator over the base function
   */
  public RiemannIntegratorSampler(SampledFunctionIterator iter)
    throws ExhaustedSampleException, FunctionException {

    this.iter = iter;

    // get the first point
    current = iter.nextSamplePoint();

    // initialize the sum
    sum = new double[iter.getDimension()];
    for (int i = 0; i < sum.length; ++i) {
      sum[i] = 0.0;
    }

  }

  public boolean hasNext() {
    return iter.hasNext();
  }

  public int getDimension() {
    return iter.getDimension();
  }

  public VectorialValuedPair nextSamplePoint()
    throws ExhaustedSampleException, FunctionException {

    // performs one step of a Riemann scheme
    VectorialValuedPair previous = current;
    current = iter.nextSamplePoint();
    double step =  (current.x - previous.x);
    double[] pY = previous.y;
    for (int i = 0; i < sum.length; ++i) {
      sum[i] += step * pY[i];
    }

    return new VectorialValuedPair (current.x, (double[]) sum.clone());

  }

}