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// 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: keir@google.com (Keir Mierle)
// sameeragarwal@google.com (Sameer Agarwal)
#ifndef CERES_INTERNAL_RANDOM_H_
#define CERES_INTERNAL_RANDOM_H_
#include <cmath>
#include <cstdlib>
#include "ceres/internal/port.h"
namespace ceres {
inline void SetRandomState(int state) { srand(state); }
inline int Uniform(int n) {
if (n) {
return rand() % n;
} else {
return 0;
}
}
inline double RandDouble() {
double r = static_cast<double>(rand());
return r / RAND_MAX;
}
// Box-Muller algorithm for normal random number generation.
// http://en.wikipedia.org/wiki/Box-Muller_transform
inline 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 ceres
#endif // CERES_INTERNAL_RANDOM_H_
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