Refactor in function names

Author: cfgnunes

differentiation.py

@@ -3,7 +3,7 @@
 import numpy as np
 
 
-def derivative_backward_difference(x, y):
+def backward_difference(x, y):
     """Calculate the first derivative.
 
     All values in 'x' must be equally spaced.
@@ -37,7 +37,7 @@ def dy_difference(h, y0, y1):
     return [dy]
 
 
-def derivative_three_point(x, y):
+def three_point(x, y):
     """Calculate the first derivative.
 
     All values in 'x' must be equally spaced.
@@ -75,7 +75,7 @@ def dy_end(h, y0, y1, y2):
     return [dy]
 
 
-def derivative_five_point(x, y):
+def five_point(x, y):
     """Calculate the first derivative.
 
     All values in 'x' must be equally spaced.

integration.py

@@ -1,7 +1,7 @@
 """Methods for numerical integration."""
 
 
-def composite_simpson(f, b, a, n):
+def simpson(f, b, a, n):
     """Calculate the integral from 1/3 Simpson's Rule.
 
     Args:
@@ -29,7 +29,7 @@ def composite_simpson(f, b, a, n):
     return [xi]
 
 
-def composite_trapezoidal(f, b, a, n):
+def trapezoidal(f, b, a, n):
     """Calculate the integral from the Trapezoidal Rule.
 
     Args:
@@ -53,7 +53,7 @@ def composite_trapezoidal(f, b, a, n):
     return [xi]
 
 
-def composite_simpson_array(x, y):
+def simpson_array(x, y):
     """Calculate the integral from 1/3 Simpson's Rule.
 
     Args:
@@ -82,7 +82,7 @@ def composite_simpson_array(x, y):
     return [xi]
 
 
-def composite_trapezoidal_array(x, y):
+def trapezoidal_array(x, y):
     """Calculate the integral from the Trapezoidal Rule.
 
     Args: