Uniformize headline: functions

Author: kwankyu

src/sage/functions/airy.py

@@ -1,5 +1,5 @@
 r"""
-Airy Functions
+Airy functions
 
 This module implements Airy functions and their generalized derivatives. It
 supports symbolic functionality through Maxima and numeric evaluation through

src/sage/functions/bessel.py

@@ -1,5 +1,5 @@
 r"""
-Bessel Functions
+Bessel functions
 
 This module provides symbolic Bessel and Hankel functions, and their
 spherical versions. These functions use the `mpmath library`_ for numerical

src/sage/functions/error.py

@@ -1,5 +1,5 @@
 r"""
-Error Functions
+Error functions
 
 This module provides symbolic error functions. These functions use the
 `mpmath library` for numerical evaluation and Maxima, Pynac for

src/sage/functions/exp_integral.py

@@ -1,5 +1,5 @@
 r"""
-Exponential Integrals
+Exponential integrals
 
 AUTHORS:
 

src/sage/functions/generalized.py

@@ -1,5 +1,5 @@
 r"""
-Generalized Functions
+Generalized functions
 
 Sage implements several generalized functions (also known as
 distributions) such as Dirac delta, Heaviside step functions. These

src/sage/functions/hyperbolic.py

@@ -1,5 +1,5 @@
 r"""
-Hyperbolic Functions
+Hyperbolic functions
 
 The full set of hyperbolic and inverse hyperbolic functions is
 available:

src/sage/functions/hypergeometric.py

@@ -1,5 +1,5 @@
 r"""
-Hypergeometric Functions
+Hypergeometric functions
 
 This module implements manipulation of infinite hypergeometric series
 represented in standard parametric form (as `\,_pF_q` functions).

src/sage/functions/jacobi.py

@@ -1,5 +1,5 @@
 r"""
-Jacobi Elliptic Functions
+Jacobi elliptic functions
 
 This module implements the 12 Jacobi elliptic functions, along with their
 inverses and the Jacobi amplitude function.

src/sage/functions/log.py

@@ -1,5 +1,5 @@
 """
-Logarithmic Functions
+Logarithmic functions
 
 AUTHORS:
 

src/sage/functions/min_max.py

@@ -1,5 +1,5 @@
 r"""
-Symbolic Minimum and Maximum
+Symbolic minimum and maximum
 
 Sage provides a symbolic maximum and minimum due to the fact that the Python
 builtin max and min are not able to deal with variables as users might expect.