Creates a Gaussian (normal) distribution for which to sample.
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#include "sst/core/rng/gaussian.h"
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static constexpr uint32_t | NullClsId = std::numeric_limits<uint32_t>::max() |
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static constexpr uint32_t | NullClsId = std::numeric_limits<uint32_t>::max() |
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enum | cxn_flag_t { ConstructorFlag
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static void | serializable_abort (uint32_t line, const char *file, const char *func, const char *obj) |
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Creates a Gaussian (normal) distribution for which to sample.
◆ GaussianDistribution() [1/3]
SST::RNG::GaussianDistribution::GaussianDistribution |
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double |
mn, |
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double |
sd |
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inline |
Creates a new distribution with a predefined random number generator with a specified mean and standard deviation.
- Parameters
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mn | The mean of the Gaussian distribution |
sd | The standard deviation of the Gaussian distribution |
◆ GaussianDistribution() [2/3]
SST::RNG::GaussianDistribution::GaussianDistribution |
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double |
mn, |
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double |
sd, |
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SST::RNG::Random * |
baseRNG |
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) |
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inline |
Creates a new distribution with a predefined random number generator with a specified mean and standard deviation.
- Parameters
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mn | The mean of the Gaussian distribution |
sd | The standard deviation of the Gaussian distribution |
baseRNG | The random number generator as the base of the distribution |
◆ GaussianDistribution() [3/3]
SST::RNG::GaussianDistribution::GaussianDistribution |
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inline |
Default constructor.
FOR SERIALIZATION ONLY.
◆ getMean()
double SST::RNG::GaussianDistribution::getMean |
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Gets the mean of the distribution.
- Returns
- The mean of the Guassian distribution
◆ getNextDouble()
double SST::RNG::GaussianDistribution::getNextDouble |
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inlineoverridevirtual |
Gets the next double value in the distribution.
- Returns
- The next double value of the distribution (in this case a Gaussian distribution)
Implements SST::RNG::RandomDistribution.
◆ getStandardDev()
double SST::RNG::GaussianDistribution::getStandardDev |
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inline |
Gets the standard deviation of the distribution.
- Returns
- The standard deviation of the Gaussian distribution
◆ stddev
Serialization macro.
The mean of the Gaussian distribution The standard deviation of the Gaussian distribution
The documentation for this class was generated from the following file: