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| Pack logtalk -- logtalk-3.102.0/docs/apis/_sources/normal_distribution_common_0.rst.txt |
.. index:: single: normal_distribution_common .. _normal_distribution_common/0:
.. rst-class:: right
category
normal_distribution_commonShared portable standard normal distribution numeric helpers.
| Availability:
| logtalk_load(ranking_protocols(loader))
| Author: Paulo Moura | Version: 1:0:0 | Date: 2026-08-02
| Compilation flags:
| static
| Dependencies: | (none)
| Remarks: | (none)
| Inherited public predicates: | (none)
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.. index:: standard_normal_density/2 .. _normal_distribution_common/0::standard_normal_density/2:
standard_normal_density/2 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Computes the standard normal probability density at the given value.
| Compilation flags:
| static
| Template:
| standard_normal_density(Value,Density)
| Mode and number of proofs:
| standard_normal_density(+number,-float) - one_or_error
| Exceptions:
| Value is not a number:
| type_error(number,Value)
.. index:: standard_normal_distribution/2 .. _normal_distribution_common/0::standard_normal_distribution/2:
standard_normal_distribution/2 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Computes an approximation of the standard normal cumulative distribution at the given value.
| Compilation flags:
| static
| Template:
| standard_normal_distribution(Value,Probability)
| Mode and number of proofs:
| standard_normal_distribution(+number,-float) - one_or_error
| Exceptions:
| Value is not a number:
| type_error(number,Value)
.. index:: standard_normal_quantile/2 .. _normal_distribution_common/0::standard_normal_quantile/2:
standard_normal_quantile/2 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Computes an approximation of the standard normal quantile for a probability strictly between zero and one.
| Compilation flags:
| static
| Template:
| standard_normal_quantile(Probability,Quantile)
| Mode and number of proofs:
| standard_normal_quantile(+number,-float) - one_or_error
| Exceptions:
| Probability is not a number:
| type_error(number,Probability)
| Probability is not strictly between zero and one:
| domain_error(open_probability,Probability)
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