X-Git-Url: http://gitweb.michael.orlitzky.com/?a=blobdiff_plain;f=dunshire%2Fgames.py;h=75f5329bb973e05d9070609fcb77e5eeba80fdee;hb=a35db50836050e28ee4e06a12caeaa30ebbb4b11;hp=a0c52279869510090f9d051a92b479bfefa3fbdd;hpb=687820b6a899842773f79bc1c830458b65de2ad3;p=dunshire.git

diff --git a/dunshire/games.py b/dunshire/games.py
index a0c5227..75f5329 100644
--- a/dunshire/games.py
+++ b/dunshire/games.py
@@ -220,8 +220,7 @@ class SymmetricLinearGame:
                [ 1],
           e2 = [ 1]
                [ 2]
-               [ 3],
-          Condition((L, K, e1, e2)) = 31.834...
+               [ 3]
 
     Lists can (and probably should) be used for every argument::
 
@@ -239,8 +238,7 @@ class SymmetricLinearGame:
           e1 = [ 1]
                [ 1],
           e2 = [ 1]
-               [ 1],
-          Condition((L, K, e1, e2)) = 1.707...
+               [ 1]
 
     The points ``e1`` and ``e2`` can also be passed as some other
     enumerable type (of the correct length) without much harm, since
@@ -262,8 +260,7 @@ class SymmetricLinearGame:
           e1 = [ 1]
                [ 1],
           e2 = [ 1]
-               [ 1],
-          Condition((L, K, e1, e2)) = 1.707...
+               [ 1]
 
     However, ``L`` will always be intepreted as a list of rows, even
     if it is passed as a :class:`cvxopt.base.matrix` which is
@@ -284,8 +281,7 @@ class SymmetricLinearGame:
           e1 = [ 1]
                [ 1],
           e2 = [ 1]
-               [ 1],
-          Condition((L, K, e1, e2)) = 6.073...
+               [ 1]
         >>> L = cvxopt.matrix(L)
         >>> print(L)
         [ 1  3]
@@ -300,8 +296,7 @@ class SymmetricLinearGame:
           e1 = [ 1]
                [ 1],
           e2 = [ 1]
-               [ 1],
-          Condition((L, K, e1, e2)) = 6.073...
+               [ 1]
 
     """
     def __init__(self, L, K, e1, e2):
@@ -335,8 +330,7 @@ class SymmetricLinearGame:
               '  L = {:s},\n' \
               '  K = {!s},\n' \
               '  e1 = {:s},\n' \
-              '  e2 = {:s},\n' \
-              '  Condition((L, K, e1, e2)) = {:f}.'
+              '  e2 = {:s}'
         indented_L = '\n      '.join(str(self.L()).splitlines())
         indented_e1 = '\n       '.join(str(self.e1()).splitlines())
         indented_e2 = '\n       '.join(str(self.e2()).splitlines())
@@ -344,8 +338,7 @@ class SymmetricLinearGame:
         return tpl.format(indented_L,
                           str(self.K()),
                           indented_e1,
-                          indented_e2,
-                          self.condition())
+                          indented_e2)
 
 
     def L(self):
@@ -620,7 +613,7 @@ class SymmetricLinearGame:
 
 
 
-    def _G(self):
+    def G(self):
         r"""
         Return the matrix ``G`` used in our CVXOPT construction.
 
@@ -647,7 +640,7 @@ class SymmetricLinearGame:
             >>> e1 = [1,2,3]
             >>> e2 = [1,1,1]
             >>> SLG = SymmetricLinearGame(L, K, e1, e2)
-            >>> print(SLG._G())
+            >>> print(SLG.G())
             [  0.0000000  -1.0000000   0.0000000   0.0000000]
             [  0.0000000   0.0000000  -1.0000000   0.0000000]
             [  0.0000000   0.0000000   0.0000000  -1.0000000]
@@ -662,7 +655,7 @@ class SymmetricLinearGame:
                           append_col(self.e1(), -self.L()))
 
 
-    def _c(self):
+    def c(self):
         """
         Return the vector ``c`` used in our CVXOPT construction.
 
@@ -689,7 +682,7 @@ class SymmetricLinearGame:
             >>> e1 = [1,2,3]
             >>> e2 = [1,1,1]
             >>> SLG = SymmetricLinearGame(L, K, e1, e2)
-            >>> print(SLG._c())
+            >>> print(SLG.c())
             [-1.0000000]
             [ 0.0000000]
             [ 0.0000000]
@@ -730,7 +723,7 @@ class SymmetricLinearGame:
         """
         return CartesianProduct(self._K, self._K)
 
-    def _h(self):
+    def h(self):
         r"""
         Return the ``h`` vector used in our CVXOPT construction.
 
@@ -757,7 +750,7 @@ class SymmetricLinearGame:
             >>> e1 = [1,2,3]
             >>> e2 = [1,1,1]
             >>> SLG = SymmetricLinearGame(L, K, e1, e2)
-            >>> print(SLG._h())
+            >>> print(SLG.h())
             [0.0000000]
             [0.0000000]
             [0.0000000]
@@ -826,7 +819,7 @@ class SymmetricLinearGame:
         dist = self.K().ball_radius(self.e1())
         nu = - self._L_specnorm()/(dist*norm(self.e2()))
         x = matrix([nu, p], (self.dimension() + 1, 1))
-        s = - self._G()*x
+        s = - self.G()*x
 
         return {'x': x, 's': s}
 
@@ -1081,9 +1074,9 @@ class SymmetricLinearGame:
         """
         try:
             opts = {'show_progress': False}
-            soln_dict = solvers.conelp(self._c(),
-                                       self._G(),
-                                       self._h(),
+            soln_dict = solvers.conelp(self.c(),
+                                       self.G(),
+                                       self.h(),
                                        self.C().cvxopt_dims(),
                                        self.A(),
                                        self.b(),
@@ -1193,7 +1186,7 @@ class SymmetricLinearGame:
         1.809...
 
         """
-        return (condition_number(self._G()) + condition_number(self.A()))/2
+        return (condition_number(self.G()) + condition_number(self.A()))/2
 
 
     def dual(self):
@@ -1225,8 +1218,7 @@ class SymmetricLinearGame:
                    [ 3],
               e2 = [ 1]
                    [ 1]
-                   [ 1],
-              Condition((L, K, e1, e2)) = 44.476...
+                   [ 1]
 
         """
         # We pass ``self.L()`` right back into the constructor, because