| // 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 | |
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| // specific prior written permission. | |
| // | |
| // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" | |
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| // | |
| // 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_method | |
| 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 examples | |
| } // namespace ceres | |
| #endif // CERES_EXAMPLES_RANDOM_H_ |