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./features/DenseSubsetFeatures.h: In member function ‘float64_t shogun::CDenseSubsetFeatures<ST>::dot(int32_t, shogun::CDotFeatures*, int32_t) [with ST = std::complex<double>, float64_t = double, int32_t = int, shogun::CDotFeatures = shogun::CDotFeatures]’:
base/class_list.cpp:1609:1:   instantiated from here
./features/DenseSubsetFeatures.h:132:4: error: no match for ‘operator+=’ in ‘sum += std::operator* [with _Tp = double]((*(const std::complex<double>*)vec1.shogun::SGVector<T>::operator[] [with T = std::complex<double>, index_t = int](((shogun::CDenseSubsetFeatures<std::complex<double> >*)this)->shogun::CDenseSubsetFeatures<std::complex<double> >::m_idx.shogun::SGVector<T>::operator[] [with T = int, index_t = int](i))), (*(const std::complex<double>*)vec2.shogun::SGVector<T>::operator[] [with T = std::complex<double>, index_t = int](dsf->shogun::CDenseSubsetFeatures<std::complex<double> >::m_idx.shogun::SGVector<T>::operator[] [with T = int, index_t = int](i))))’

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base/SGObject_unittest.cc: In member function ‘virtual void SGObject_equals_same_Test::TestBody()’:
base/SGObject_unittest.cc:29:2: error: ‘CGaussianKernel’ was not declared in this scope
base/SGObject_unittest.cc:29:19: error: ‘kernel’ was not declared in this scope
base/SGObject_unittest.cc:29:30: error: expected type-specifier before ‘CGaussianKernel’
base/SGObject_unittest.cc:29:30: error: expected ‘;’ before ‘CGaussianKernel’
base/SGObject_unittest.cc: In member function ‘virtual void SGObject_equals_NULL_parameter_Test::TestBody()’:
base/SGObject_unittest.cc:40:2: error: ‘CDenseFeatures’ was not declared in this scope
base/SGObject_unittest.cc:40:26: error: expected primary-expression before ‘>’ token
base/SGObject_unittest.cc:40:29: error: ‘feats’ was not declared in this scope
base/SGObject_unittest.cc:40:39: error: expected type-specifier before ‘CDenseFeatures’

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TEST(Serialization, Ascii_scaler_equal_FLOAT64)
{
  float64_t a=1.7126587125;

  TSGDataType type(CT_SCALAR, ST_NONE, PT_FLOAT64);
  TParameter* param1=new TParameter(&type, &a, "", "");
  TParameter* param2=new TParameter(&type, NULL, "", "");

  const char* filename="float64_param.txt";
  // save parameter to an ascii file

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TEST(Serialization, Ascii_scaler_equal_FLOAT64)
{
  float64_t a=1.7126587125;

  TSGDataType type(CT_SCALAR, ST_NONE, PT_FLOAT64);
  TParameter* param1=new TParameter(&type, &a, "param1", "");
  TParameter* param2=new TParameter(&type, NULL, "param2", "");

  const char* filename="float64_param.txt";
  // save parameter to an ascii file

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TEST(Serialization, Json_scaler_equal_FLOAT64)
{
  float64_t a=1.7126587125;
  float64_t b=0.0;

  TSGDataType type(CT_SCALAR, ST_NONE, PT_FLOAT64);
  TParameter* param1=new TParameter(&type, &a, "param", "");
  TParameter* param2=new TParameter(&type, &b, "param", "");

  const char* filename="float64_param.json";

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/*
 * This program is free software; you can redistribute it and/or modify
 * it under the terms of the GNU General Public License as published by
 * the Free Software Foundation; either version 3 of the License, or
 * (at your option) any later version.
 *
 * Written (W) 2013 Heiko Strathmann
 */

#include <shogun/lib/config.h>

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#include <iostream>
#include <cmath>
#include <Eigen/Dense>

using namespace std;
using namespace Eigen;

int main()
{
    Matrix2f A;

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function_that_estimates_logdet
{
	CSparseMatrixOperator<float64_t> *op
	CSerialComputationEngine *e
	CLogRationalApproximationCOCGM log_op(op, e) 
	// or CLogRationalApproximationIndividual log_op(op, e)
	CProbingSampler *sampler
	CLogDetEstimator est(log_op, e, sampler)
	SGVector<float64_t> samples=est.sample(num_logdet_estimates)
}

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/*
 * This program is free software; you can redistribute it and/or modify
 * it under the terms of the GNU General Public License as published by
 * the Free Software Foundation; either version 3 of the License, or
 * (at your option) any later version.
 *
 * Written (W) 2013 Soumyajit De
 */

#include <shogun/lib/common.h>

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  CRationalApproximationIndividual::submit_jobs()
  {
    CDenseMatrixOperator<complex64_t> orig_operator();
    SGVector<complex64_t> orig_diag=orig_operator.get_diagonal();
    // copy all the elements from m_linear_operator to orig_operator with typecast
    CIndividualJobResultAggregator agg;
    for all shifts sh
    {
      // creates a deep copy of the matrix using SGMatrix<T>::clone()
      CDenseMatrixOperator<complex64_t> operator(orig_operator);