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| author | Georg Brandl <georg@python.org> | 2016-02-26 18:37:52 (GMT) |
|---|---|---|
| committer | Georg Brandl <georg@python.org> | 2016-02-26 18:37:52 (GMT) |
| commit | 3902d62c4e9810f1386090dd60b38f5aa6e99512 (patch) | |
| tree | b69ace11aa32fdc82e4b83b94c647e1d7673cd99 /Doc/library/math.rst | |
| parent | 1a41c44af9e16363e3ae2fc8626d69fd240d35e8 (diff) | |
| parent | 5d9413404017a829aa5ddb52be6019fb63ec5c09 (diff) | |
| download | cpython-3902d62c4e9810f1386090dd60b38f5aa6e99512.zip cpython-3902d62c4e9810f1386090dd60b38f5aa6e99512.tar.gz cpython-3902d62c4e9810f1386090dd60b38f5aa6e99512.tar.bz2 | |
merge with 3.5
Diffstat (limited to 'Doc/library/math.rst')
| -rw-r--r-- | Doc/library/math.rst | 16 |
1 files changed, 8 insertions, 8 deletions
diff --git a/Doc/library/math.rst b/Doc/library/math.rst index 244663e..80e65bb 100644 --- a/Doc/library/math.rst +++ b/Doc/library/math.rst @@ -97,7 +97,7 @@ Number-theoretic and representation functions For further discussion and two alternative approaches, see the `ASPN cookbook recipes for accurate floating point summation - <http://code.activestate.com/recipes/393090/>`_\. + <https://code.activestate.com/recipes/393090/>`_\. .. function:: gcd(a, b) @@ -204,7 +204,7 @@ Power and logarithmic functions Return ``e**x - 1``. For small floats *x*, the subtraction in ``exp(x) - 1`` can result in a `significant loss of precision - <http://en.wikipedia.org/wiki/Loss_of_significance>`_\; the :func:`expm1` + <https://en.wikipedia.org/wiki/Loss_of_significance>`_\; the :func:`expm1` function provides a way to compute this quantity to full precision:: >>> from math import exp, expm1 @@ -332,7 +332,7 @@ Angular conversion Hyperbolic functions -------------------- -`Hyperbolic functions <http://en.wikipedia.org/wiki/Hyperbolic_function>`_ +`Hyperbolic functions <https://en.wikipedia.org/wiki/Hyperbolic_function>`_ are analogs of trigonometric functions that are based on hyperbolas instead of circles. @@ -371,12 +371,12 @@ Special functions .. function:: erf(x) - Return the `error function <http://en.wikipedia.org/wiki/Error_function>`_ at + Return the `error function <https://en.wikipedia.org/wiki/Error_function>`_ at *x*. The :func:`erf` function can be used to compute traditional statistical functions such as the `cumulative standard normal distribution - <http://en.wikipedia.org/wiki/Normal_distribution#Cumulative_distribution_function>`_:: + <https://en.wikipedia.org/wiki/Normal_distribution#Cumulative_distribution_function>`_:: def phi(x): 'Cumulative distribution function for the standard normal distribution' @@ -388,17 +388,17 @@ Special functions .. function:: erfc(x) Return the complementary error function at *x*. The `complementary error - function <http://en.wikipedia.org/wiki/Error_function>`_ is defined as + function <https://en.wikipedia.org/wiki/Error_function>`_ is defined as ``1.0 - erf(x)``. It is used for large values of *x* where a subtraction from one would cause a `loss of significance - <http://en.wikipedia.org/wiki/Loss_of_significance>`_\. + <https://en.wikipedia.org/wiki/Loss_of_significance>`_\. .. versionadded:: 3.2 .. function:: gamma(x) - Return the `Gamma function <http://en.wikipedia.org/wiki/Gamma_function>`_ at + Return the `Gamma function <https://en.wikipedia.org/wiki/Gamma_function>`_ at *x*. .. versionadded:: 3.2 |