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gslmm::gaussian Class Reference
[Distributions]
#include <gslmm/random/gaussian.hh>
Inheritance diagram for gslmm::gaussian:
[legend]Collaboration diagram for gslmm::gaussian:
[legend]List of all members.
Detailed Description
gaussian distribution interface class.
The gaussian PDF is
- Examples:
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fit/fit-ex.cc, fit/linear-ex.cc, ntuple/ntuple-ex.cc, and random/distribution-test.cc.
Member Typedef Documentation
Constructor & Destructor Documentation
gslmm::gaussian::gaussian |
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double |
sigma, |
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generator & |
r, |
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bool |
ratio = false |
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[inline] |
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Constructor.
- Parameters:
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| sigma | The of the PDF. |
| ratio | if true use the Kinderman-Monahan ratio method. |
| r | The random number generator |
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virtual gslmm::gaussian::~gaussian |
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[inline, virtual] |
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Member Function Documentation
virtual double gslmm::gaussian::lower_cdf |
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const return_type & |
x |
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[inline, virtual] |
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virtual return_type gslmm::gaussian::lower_invcdf |
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double |
p |
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[inline, virtual] |
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virtual double gslmm::gaussian::pdf |
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const return_type & |
x |
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[inline, virtual] |
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virtual return_type gslmm::gaussian::sample |
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[inline, virtual] |
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virtual double gslmm::gaussian::upper_cdf |
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const return_type & |
x |
) |
[inline, virtual] |
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virtual return_type gslmm::gaussian::upper_invcdf |
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double |
q |
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[inline, virtual] |
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Member Data Documentation
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Parameter ratio of the distribution.
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Width () of the distribution.
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The documentation for this class was generated from the following file:
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