X-Git-Url: https://gitweb.michael.orlitzky.com/?a=blobdiff_plain;f=dunshire%2Fgames.py;h=ff7fd18d32d5a959d739ff78574b023bf7b33ed1;hb=457b86414fb123e2b5ce07dc322173d24f789be4;hp=7dd280651fe954c6c1550a962bb2637f7122148a;hpb=1d8a088b982c0d5f26878e4b2794e9fc670b5bcb;p=dunshire.git

diff --git a/dunshire/games.py b/dunshire/games.py
index 7dd2806..ff7fd18 100644
--- a/dunshire/games.py
+++ b/dunshire/games.py
@@ -180,8 +180,8 @@ class SymmetricLinearGame:
 
     L : list of list of float
         A matrix represented as a list of **rows**. This representation
-        agrees with (for example) `SageMath <http://www.sagemath.org/>`_
-        and `NumPy <http://www.numpy.org/>`_, but not with CVXOPT (whose
+        agrees with (for example) `SageMath <https://www.sagemath.org/>`_
+        and `NumPy <https://www.numpy.org/>`_, but not with CVXOPT (whose
         matrix constructor accepts a list of columns). In reality, ``L``
         can be any iterable type of the correct length; however, you
         should be extremely wary of the way we interpret anything other
@@ -249,12 +249,11 @@ class SymmetricLinearGame:
     there is no row/column ambiguity::
 
         >>> import cvxopt
-        >>> import numpy
         >>> from dunshire import *
         >>> K = NonnegativeOrthant(2)
         >>> L = [[1,0],[0,1]]
         >>> e1 = cvxopt.matrix([1,1])
-        >>> e2 = numpy.matrix([1,1])
+        >>> e2 = (1,1)
         >>> G = SymmetricLinearGame(L, K, e1, e2)
         >>> print(G)
         The linear game (L, K, e1, e2) where
@@ -585,7 +584,7 @@ class SymmetricLinearGame:
 
         This matrix :math:`A` appears on the right-hand side of
         :math:`Ax = b` in the `statement of the CVXOPT conelp program
-        <http://cvxopt.org/userguide/coneprog.html#linear-cone-programs>`_.
+        <https://cvxopt.org/userguide/coneprog.html#linear-cone-programs>`_.
 
         .. warning::
 
@@ -623,7 +622,7 @@ class SymmetricLinearGame:
 
         Thus matrix :math:`G` appears on the left-hand side of :math:`Gx
         + s = h` in the `statement of the CVXOPT conelp program
-        <http://cvxopt.org/userguide/coneprog.html#linear-cone-programs>`_.
+        <https://cvxopt.org/userguide/coneprog.html#linear-cone-programs>`_.
 
         .. warning::
 
@@ -667,7 +666,7 @@ class SymmetricLinearGame:
         The column vector :math:`c` appears in the objective function
         value :math:`\left\langle c,x \right\rangle` in the `statement
         of the CVXOPT conelp program
-        <http://cvxopt.org/userguide/coneprog.html#linear-cone-programs>`_.
+        <https://cvxopt.org/userguide/coneprog.html#linear-cone-programs>`_.
 
         .. warning::
 
@@ -705,7 +704,7 @@ class SymmetricLinearGame:
         Return the cone ``C`` used in our CVXOPT construction.
 
         This is the cone over which the `CVXOPT conelp program
-        <http://cvxopt.org/userguide/coneprog.html#linear-cone-programs>`_
+        <https://cvxopt.org/userguide/coneprog.html#linear-cone-programs>`_
         takes place.
 
         Returns
@@ -737,7 +736,7 @@ class SymmetricLinearGame:
 
         The :math:`h` vector appears on the right-hand side of :math:`Gx
         + s = h` in the `statement of the CVXOPT conelp program
-        <http://cvxopt.org/userguide/coneprog.html#linear-cone-programs>`_.
+        <https://cvxopt.org/userguide/coneprog.html#linear-cone-programs>`_.
 
         .. warning::
 
@@ -780,7 +779,7 @@ class SymmetricLinearGame:
 
         The vector :math:`b` appears on the right-hand side of :math:`Ax
         = b` in the `statement of the CVXOPT conelp program
-        <http://cvxopt.org/userguide/coneprog.html#linear-cone-programs>`_.
+        <https://cvxopt.org/userguide/coneprog.html#linear-cone-programs>`_.
 
         This method is static because the dimensions and entries of
         ``b`` are known beforehand, and don't depend on any other
@@ -924,16 +923,18 @@ class SymmetricLinearGame:
 
     def tolerance_scale(self, solution):
         r"""
-        Return a scaling factor that should be applied to :const:`ABS_TOL`
-        for this game.
+
+        Return a scaling factor that should be applied to
+        :const:`dunshire.options.ABS_TOL` for this game.
 
         When performing certain comparisons, the default tolerance
-        :const:`ABS_TOL` may not be appropriate. For example, if we expect
-        ``x`` and ``y`` to be within :const:`ABS_TOL` of each other,
-        than the inner product of ``L*x`` and ``y`` can be as far apart
-        as the spectral norm of ``L`` times the sum of the norms of
-        ``x`` and ``y``. Such a comparison is made in :meth:`solution`,
-        and in many of our unit tests.
+        :const:`dunshire.options.ABS_TOL` may not be appropriate. For
+        example, if we expect ``x`` and ``y`` to be within
+        :const:`dunshire.options.ABS_TOL` of each other, than the inner
+        product of ``L*x`` and ``y`` can be as far apart as the spectral
+        norm of ``L`` times the sum of the norms of ``x`` and
+        ``y``. Such a comparison is made in :meth:`solution`, and in
+        many of our unit tests.
 
         The returned scaling factor found from the inner product
         mentioned above is
@@ -967,7 +968,8 @@ class SymmetricLinearGame:
         -------
 
         float
-            A scaling factor to be multiplied by :const:`ABS_TOL` when
+            A scaling factor to be multiplied by
+            :const:`dunshire.options.ABS_TOL` when
             making comparisons involving solutions of this game.
 
         Examples
@@ -1004,7 +1006,7 @@ class SymmetricLinearGame:
         Returns
         -------
 
-        :class:`Solution`
+        Solution
             A :class:`Solution` object describing the game's value and
             the optimal strategies of both players.