/**
 * @file sarah_plus_update.hpp
 * @author Marcus Edel
 *
 * Implementation of the SARAH+ update rule which provides an automatic and
 * adaptive choice of the inner loop size.
 *
 * ensmallen is free software; you may redistribute it and/or modify it under
 * the terms of the 3-clause BSD license.  You should have received a copy of
 * the 3-clause BSD license along with ensmallen.  If not, see
 * http://www.opensource.org/licenses/BSD-3-Clause for more information.
 */
#ifndef ENSMALLEN_SARAH_SARAH_PLUS_UPDATE_HPP
#define ENSMALLEN_SARAH_SARAH_PLUS_UPDATE_HPP

namespace ens {

/**
 * SARAH+ provides an automatic and adaptive choice of the inner loop size.
 */
class SARAHPlusUpdate
{
 public:
  /*
   * Construct the SARAH+ update policy.
   *
   * @param gamma Adaptive parameter for the inner loop.
   */
  SARAHPlusUpdate(const double gamma = 0.125) : gamma(gamma)
  {
    /* Nothing to do here. */
  }

  /**
   * Update step for SARAH+. The function parameters are updated in the negative
   * direction of the gradient.
   *
   * @param iterate Parameters that minimize the function.
   * @param v Unbiased estimator of the gradient.
   * @param gradient The current gradient matrix at time t.
   * @param gradient0 The old gradient matrix at time t - 1.
   * @param batchSize Batch size to be used for the given iteration.
   * @param stepSize Step size to be used for the given iteration.
   * @param vNorm The norm of the full gradient.
   */
  template<typename MatType, typename GradType>
  bool Update(MatType& iterate,
              GradType& v,
              const GradType& gradient,
              const GradType& gradient0,
              const size_t batchSize,
              const double stepSize,
              const double vNorm)
  {
    v += (gradient - gradient0) / (double) batchSize;
    iterate -= stepSize * v;

    if (arma::norm(v) <= gamma * vNorm)
      return true;

    return false;
  }

 private:
  //! Adaptive parameter for the inner loop.
  double gamma;
};

} // namespace ens

#endif
