This is a subclass of Random that generates numbers according to a Gaussian distribution with a specified mean and standard deviation.
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#include <Random.h>
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GaussianImpl & | getImpl () |
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const GaussianImpl & | getConstImpl () const |
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Protected Member Functions inherited from SimTK::Random |
| Random () |
| This constructor should never be invoked directly. More...
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RandomImpl & | getImpl () |
| Get the internal object which implements the random number generator. More...
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const RandomImpl & | getConstImpl () const |
| Get a constant reference to the internal object which implements the random number generator. More...
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This is a subclass of Random that generates numbers according to a Gaussian distribution with a specified mean and standard deviation.
Create a new random number generator that produces values according to a Gaussian distribution with mean 0 and standard deviation 1.
Create a new random number generator that produces values according to a Gaussian distribution with the specified mean and standard deviation.
Real SimTK::Random::Gaussian::getMean |
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Get the mean of the Gaussian distribution.
void SimTK::Random::Gaussian::setMean |
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Real |
mean | ) |
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Set the mean of the Gaussian distribution.
Real SimTK::Random::Gaussian::getStdDev |
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const |
Get the standard deviation of the Gaussian distribution.
void SimTK::Random::Gaussian::setStdDev |
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Real |
stddev | ) |
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Set the standard deviation of the Gaussian distribution.
GaussianImpl& SimTK::Random::Gaussian::getImpl |
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const GaussianImpl& SimTK::Random::Gaussian::getConstImpl |
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const |
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The documentation for this class was generated from the following file: