| 12345678910111213141516171819202122232425262728293031323334353637383940414243444546474849505152535455565758596061626364 | // Ceres Solver - A fast non-linear least squares minimizer// Copyright 2015 Google Inc. All rights reserved.// http://ceres-solver.org///// Redistribution and use in source and binary forms, with or without// modification, are permitted provided that the following conditions are met://// * Redistributions of source code must retain the above copyright notice,//   this list of conditions and the following disclaimer.// * Redistributions in binary form must reproduce the above copyright notice,//   this list of conditions and the following disclaimer in the documentation//   and/or other materials provided with the distribution.// * Neither the name of Google Inc. nor the names of its contributors may be//   used to endorse or promote products derived from this software without//   specific prior written permission.//// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"// AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE// ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE// LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR// CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF// SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS// INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN// CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)// ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE// POSSIBILITY OF SUCH DAMAGE.//// Author: sameeragarwal@google.com (Sameer Agarwal)#ifndef CERES_EXAMPLES_RANDOM_H_#define CERES_EXAMPLES_RANDOM_H_#include <math.h>#include <stdlib.h>namespace ceres {namespace examples {// Return a random number sampled from a uniform distribution in the range// [0,1].inline double RandDouble() {  double r = static_cast<double>(rand());  return r / RAND_MAX;}// Marsaglia Polar method for generation standard normal (pseudo)// random numbers http://en.wikipedia.org/wiki/Marsaglia_polar_methodinline double RandNormal() {  double x1, x2, w;  do {    x1 = 2.0 * RandDouble() - 1.0;    x2 = 2.0 * RandDouble() - 1.0;    w = x1 * x1 + x2 * x2;  } while (w >= 1.0 || w == 0.0);  w = sqrt((-2.0 * log(w)) / w);  return x1 * w;}}  // namespace examples}  // namespace ceres#endif  // CERES_EXAMPLES_RANDOM_H_
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