QuantEcon · mmcky · Dec 13, 2018 · Dec 11, 2018 · Dec 11, 2018 · Dec 11, 2018
diff --git a/docs/Makefile b/docs/Makefile
@@ -1,4 +1,4 @@
-	# Makefile for Sphinx documentation
+# Makefile for Sphinx documentation
 #
 
 # You can set these variables from the command line.

diff --git a/docs/source/game_theory.rst b/docs/source/game_theory.rst
@@ -9,6 +9,7 @@ Game theory
    game_theory/normal_form_game
    game_theory/pure_nash
    game_theory/random
+   game_theory/repeated_game
    game_theory/support_enumeration
    game_theory/utilities
    game_theory/vertex_enumeration

diff --git a/docs/source/game_theory/repeated_game.rst b/docs/source/game_theory/repeated_game.rst
@@ -0,0 +1,7 @@
+repeated_game
+=============
+
+.. automodule:: quantecon.game_theory.repeated_game
+    :members:
+    :undoc-members:
+    :show-inheritance:
diff --git a/docs/source/optimize.rst b/docs/source/optimize.rst
@@ -4,5 +4,6 @@ Optimize
 .. toctree::
    :maxdepth: 2
 
+   optimize/nelder_mead
    optimize/root_finding
    optimize/scalar_maximization
diff --git a/docs/source/optimize/nelder_mead.rst b/docs/source/optimize/nelder_mead.rst
@@ -0,0 +1,7 @@
+nelder_mead
+===========
+
+.. automodule:: quantecon.optimize.nelder_mead
+    :members:
+    :undoc-members:
+    :show-inheritance:
diff --git a/docs/source/tools.rst b/docs/source/tools.rst
@@ -15,6 +15,7 @@ Tools
    tools/filter
    tools/graph_tools
    tools/gridtools
+   tools/inequality
    tools/ivp
    tools/kalman
    tools/lae

diff --git a/docs/source/inequality.rst → docs/source/tools/inequality.rst b/docs/source/inequality.rst → docs/source/tools/inequality.rst
@@ -1,7 +1,7 @@
-Inquality
+inequality
 ==========
 
-.. automodule:: quantecon.inquality
+.. automodule:: quantecon.inequality
     :members:
     :undoc-members:
     :show-inheritance:
diff --git a/quantecon/inequality.py b/quantecon/inequality.py
@@ -30,7 +30,7 @@ def lorenz_curve(y):
 
     References
     ----------
-    https://en.wikipedia.org/wiki/Lorenz_curve
+    .. [1] https://en.wikipedia.org/wiki/Lorenz_curve
 
     Examples
     --------
@@ -73,8 +73,8 @@ def gini_coefficient(y):
 
     References
     ----------
+    .. [1] https://en.wikipedia.org/wiki/Gini_coefficient
 
-    https://en.wikipedia.org/wiki/Gini_coefficient
     """
     n = len(y)
     i_sum = np.zeros(n)
@@ -106,10 +106,11 @@ def shorrocks_index(A):
         An index equal to 0 indicates complete immobility.
 
     References
-    -----------
-    Wealth distribution and social mobility in the US: A quantitative approach
-    (Benhabib, Bisin, Luo, 2017).
-    https://www.econ.nyu.edu/user/bisina/RevisionAugust.pdf
+    ----------
+
+    .. [1] Benhabib, Bison, and Luo, Wealth distribution and social mobility 
+           in the US:  A quantitative approach (2017), https://www.econ.nyu.edu/user/bisina/RevisionAugust.pdf
+
     """
 
     A = np.asarray(A)  # Convert to array if not already

diff --git a/quantecon/optimize/nelder_mead.py b/quantecon/optimize/nelder_mead.py
@@ -25,8 +25,7 @@ def nelder_mead(fun, x0, bounds=np.array([[], []]).T, args=(), tol_f=1e-10,
     Parameters
     ----------
     fun : callable
-        The objective function to be maximized.
-            `fun(x, *args) -> float`
+        The objective function to be maximized: `fun(x, *args) -> float`
         where x is an 1-D array with shape (n,) and args is a tuple of the
         fixed parameters needed to completely specify the function. This
         function must be JIT-compiled in `nopython` mode using Numba.