diff --git a/SimPEG/inverse/Inversion.py b/SimPEG/inverse/Inversion.py
index cff5ac0d..496488fd 100644
--- a/SimPEG/inverse/Inversion.py
+++ b/SimPEG/inverse/Inversion.py
@@ -25,10 +25,10 @@ class Inversion(object):
                                     "value":    lambda M: M.parent._beta,
                                     "width":    10, "format":   "%1.2e"})
             self.opt.printers.insert(2,{"title":    "phi_d",
-                                    "value":    lambda M: M.parent._phi_d_last,
+                                    "value":    lambda M: M.parent.phi_d,
                                     "width":    10, "format":   "%1.2e"})
             self.opt.printers.insert(3,{"title":    "phi_m",
-                                    "value":    lambda M: M.parent._phi_m_last,
+                                    "value":    lambda M: M.parent.phi_m,
                                     "width":    10, "format":   "%1.2e"})
 
     def setKwargs(self, **kwargs):
@@ -45,7 +45,7 @@ class Inversion(object):
     #     print "%s" % '-'*62
 
     # def printIter(self):
-    #     print "%3d  %1.2e  %1.2e  %1.2e  %1.2e  %1.2e  %3d" % (self.opt._iter, self._beta, self._phi_d_last, self._phi_m_last, self.opt.f, np.linalg.norm(self.opt.g), self.opt._iterLS)
+    #     print "%3d  %1.2e  %1.2e  %1.2e  %1.2e  %1.2e  %3d" % (self.opt._iter, self._beta, self.phi_d, self.phi_m, self.opt.f, np.linalg.norm(self.opt.g), self.opt._iterLS)
 
     @property
     def Wd(self):
@@ -95,7 +95,7 @@ class Inversion(object):
     def stoppingCriteria(self):
         self._STOP = np.zeros(2,dtype=bool)
         self._STOP[0] = self._iter >= self.maxIter
-        self._STOP[1] = self._phi_d_last <= self.phi_d_target
+        self._STOP[1] = self.phi_d <= self.phi_d_target
         return np.any(self._STOP)
 
 
@@ -105,8 +105,8 @@ class Inversion(object):
         phi_d = self.dataObj(m, u)
         phi_m = self.reg.modelObj(m)
 
-        self._phi_d_last = phi_d
-        self._phi_m_last = phi_m
+        self.phi_d = phi_d
+        self.phi_m = phi_m
 
         f = phi_d + self._beta * phi_m
 
diff --git a/SimPEG/inverse/Optimize.py b/SimPEG/inverse/Optimize.py
index 7629c072..3171e501 100644
--- a/SimPEG/inverse/Optimize.py
+++ b/SimPEG/inverse/Optimize.py
@@ -252,9 +252,9 @@ class Minimize(object):
             :rtype: None
             :return: None
         """
-        if method in [posible for posible in dir(self) if '_startup' in posible]:
+        for method in [posible for posible in dir(self) if '_startup' in posible]:
             if self.debug: print 'startup is calling self.'+method
-            getattr(self,method)(xt)
+            getattr(self,method)(x0)
 
         self._iter = 0
         self._iterLS = 0
@@ -482,7 +482,7 @@ class Minimize(object):
             :rtype: None
             :return: None
         """
-        if method in [posible for posible in dir(self) if '_doEndIteration' in posible]:
+        for method in [posible for posible in dir(self) if '_doEndIteration' in posible]:
             if self.debug: print 'doEndIteration is calling self.'+method
             getattr(self,method)(xt)
 
@@ -493,13 +493,207 @@ class Minimize(object):
         self._iter += 1
 
 
-class GaussNewton(Minimize):
+class Remember(object):
+    """
+        This mixin remembers all the things you tend to forget.
+
+        You can remember parameters directly, naming the str in Minimize,
+        or pass a tuple with the name and the function that takes Minimize.
+
+        For Example::
+
+            opt.remember('f',('norm_g', lambda M: np.linalg.norm(M.g)))
+
+            opt.minimize(evalFunction, x0)
+
+            opt.recall('f')
+
+        The param name (str) can also be located in the parent (if no conflicts),
+        and it will be looked up by default.
+    """
+
+    _rememberThese = []
+
+    def remember(self, *args):
+        self._rememberThese = args
+
+    def recall(self, param):
+        assert param in self._rememberThese, "You didn't tell me to remember "+param+", you gotta tell me what to remember!"
+        return self._rememberList[param]
+
+    def _startupRemember(self, x0):
+        self._rememberList = {}
+        for param in self._rememberThese:
+            if type(param) is str:
+                self._rememberList[param] = []
+            elif type(param) is tuple:
+                self._rememberList[param[0]] = []
+
+    def _doEndIterationRemember(self, xt):
+        for param in self._rememberThese:
+            if type(param) is str:
+                val = getattr(self, param, None)
+                if val is None and self.parent is not None:
+                    # Look to the parent for the param if not found here.
+                    val = getattr(self.parent, param, None)
+                self._rememberList[param].append( val )
+            elif type(param) is tuple:
+                self._rememberList[param[0]].append( param[1](self) )
+
+
+
+class ProjectedGradient(Minimize, Remember):
+    name = 'Projected Gradient'
+
+    maxIterCG = 10
+    tolCG = 1e-3
+
+    lower = -0.4
+    upper = 0.9
+
+    def __init__(self,**kwargs):
+        super(ProjectedGradient, self).__init__(**kwargs)
+
+        self.stoppers.append({
+                "str":      "%d : probSize  =    %3d   <= bindingSet      =    %3d",
+                "left":     lambda M: M.xc.size,
+                "right":    lambda M: np.sum(M.bindingSet(M.xc)),
+                "stopType": "critical"
+             })
+
+        self.stoppersLS.append({
+                "str":      "%d : probSize  =    %3d   <= bindingSet      =    %3d",
+                "left":     lambda M: M._LS_xt.size,
+                "right":    lambda M: np.sum(M.bindingSet(M._LS_xt)),
+                "stopType": "critical"
+             })
+
+        self.printers.append({"title":    "itType",
+                              "value":    lambda M: M._itType,
+                              "width":    8, "format":   "%s"})
+        self.printers.append({"title":    "aSet",
+                              "value":    lambda M: np.sum(M.activeSet(M.xc)),
+                              "width":    8, "format":   "%d"})
+        self.printers.append({"title":    "bSet",
+                              "value":    lambda M: np.sum(M.bindingSet(M.xc)),
+                              "width":    8, "format":   "%d"})
+        self.printers.append({"title":    "Comment",
+                              "value":    lambda M: M.projComment,
+                              "width":    7, "format":   "%s"})
+
+
+    def _startup(self, x0):
+        # ensure bound vectors are the same size as the model
+        if type(self.lower) is not np.ndarray:
+            self.lower = np.ones_like(x0)*self.lower
+        if type(self.upper) is not np.ndarray:
+            self.upper = np.ones_like(x0)*self.upper
+
+        self.explorePG = True
+        self.exploreCG = False
+        self.stopDoingPG = False
+
+        self._itType = 'SD'
+        self.projComment = ''
+
+        self.aSet_prev = self.activeSet(x0)
+
+    def projection(self, x):
+        """Make sure we are feasible."""
+        return np.median(np.c_[self.lower,x,self.upper],axis=1)
+
+    def activeSet(self, x):
+        """If we are on a bound"""
+        return np.logical_or(x == self.lower, x == self.upper)
+
+    def inactiveSet(self, x):
+        """The free variables."""
+        return np.logical_not(self.activeSet(x))
+
+    def bindingSet(self, x):
+        """
+            If we are on a bound and the negative gradient points away from the feasible set.
+
+            Optimality condition. (Satisfies Kuhn-Tucker) MoreToraldo91
+
+        """
+        bind_up  = np.logical_and(x == self.lower, self.g >= 0)
+        bind_low = np.logical_and(x == self.upper, self.g <= 0)
+        return np.logical_or(bind_up, bind_low)
+
+    def findSearchDirection(self):
+        self.aSet_prev = self.activeSet(self.xc)
+        allBoundsAreActive = sum(self.aSet_prev) == self.xc.size
+
+        if self.debug: print 'findSearchDirection: stopDoingPG: ', self.stopDoingPG
+        if self.debug: print 'findSearchDirection: explorePG: ', self.explorePG
+        if self.debug: print 'findSearchDirection: exploreCG: ', self.exploreCG
+        if self.debug: print 'findSearchDirection: aSet', np.sum(self.activeSet(self.xc))
+        if self.debug: print 'findSearchDirection: bSet', np.sum(self.bindingSet(self.xc))
+        if self.debug: print 'findSearchDirection: allBoundsAreActive: ', allBoundsAreActive
+
+        if self.explorePG or not self.exploreCG or allBoundsAreActive:
+            if self.debug: print 'findSearchDirection.PG: doingPG'
+            self._itType = 'SD'
+            p = -self.g
+        else:
+            if self.debug: print 'findSearchDirection.CG: doingCG'
+            self.f_decrease_max = -np.inf # Reset the max decrease each time you do a CG iteration
+            self._itType = '.CG.'
+
+            iSet  = self.inactiveSet(self.xc)  # The inactive set (free variables)
+            bSet = self.bindingSet(self.xc)
+            shape = (self.xc.size, np.sum(iSet))
+            v = np.ones(shape[1])
+            i = np.where(iSet)[0]
+            j = np.arange(shape[1])
+            if self.debug: print 'findSearchDirection.CG: Z.shape', shape
+            Z = sp.csr_matrix((v, (i, j)), shape=shape)
+
+            def reduceHess(v):
+                # Z is tall and skinny
+                return Z.T*(self.H*(Z*v))
+            operator = sp.linalg.LinearOperator( (shape[1], shape[1]), reduceHess, dtype=float )
+            p, info  = sp.linalg.cg(operator, -Z.T*self.g, tol=self.tolCG, maxiter=self.maxIterCG)
+            p = Z*p  #  bring up to full size
+            # aSet_after = self.activeSet(self.xc+p)
+        return p
+
+    def _doEndIteration_ProjectedGradient(self, xt):
+        aSet = self.activeSet(xt)
+        bSet = self.bindingSet(xt)
+
+        self.explorePG = not np.all(aSet == self.aSet_prev) # explore proximal gradient
+        self.exploreCG = np.all(aSet == bSet) # explore conjugate gradient
+
+        f_current_decrease = self.f_last - self.f
+        self.projComment = ''
+#         print f_current_decrease
+        if self._iter < 1:
+            self.f_decrease_max = -np.inf
+        else:
+            # Note that I reset this if we do a CG iteration.
+            self.f_decrease_max = max(self.f_decrease_max, f_current_decrease)
+            self.stopDoingPG = f_current_decrease < 0.25 * self.f_decrease_max
+#             print 'f_decrease_max: ', self.f_decrease_max
+#             print 'stopDoingSD: ', self.stopDoingSD
+            if self.stopDoingPG:
+                self.projComment = 'Stop SD'
+                self.explorePG = False
+                self.exploreCG = True
+        # implement 3.8, MoreToraldo91
+        #self.eta_2 * max_decrease where max decrease
+        # if true go to CG
+        # don't do too many steps of PG in a row.
+        if self.debug: self.printDone()
+
+class GaussNewton(Minimize, Remember):
     name = 'Gauss Newton'
     def findSearchDirection(self):
         return Solver(self.H).solve(-self.g)
 
 
-class InexactGaussNewton(Minimize):
+class InexactGaussNewton(Minimize, Remember):
     name = 'Inexact Gauss Newton'
 
     maxIterCG = 10
@@ -511,7 +705,7 @@ class InexactGaussNewton(Minimize):
         return p
 
 
-class SteepestDescent(Minimize):
+class SteepestDescent(Minimize, Remember):
     name = 'Steepest Descent'
     def findSearchDirection(self):
         return -self.g
diff --git a/SimPEG/utils/ipythonUtils.py b/SimPEG/utils/ipythonUtils.py
index ca77a2e3..aa1eefdd 100644
--- a/SimPEG/utils/ipythonUtils.py
+++ b/SimPEG/utils/ipythonUtils.py
@@ -6,7 +6,7 @@ from IPython.display import HTML
 # http://jakevdp.github.io/blog/2013/05/12/embedding-matplotlib-animations/
 # http://www.renevolution.com/how-to-install-ffmpeg-on-mac-os-x/
 
-VIDEO_TAG = """<video controls>
+VIDEO_TAG = """<video controls loop>
  <source src="data:video/x-m4v;base64,{0}" type="video/mp4">
  Your browser does not support the video tag.
 </video>"""
diff --git a/notebooks/Bound Constraint Problem.ipynb b/notebooks/Bound Constraint Problem.ipynb
index 44fc19fe..fa512d2b 100644
--- a/notebooks/Bound Constraint Problem.ipynb	
+++ b/notebooks/Bound Constraint Problem.ipynb	
@@ -35,19 +35,13 @@
       "\n",
       "reg = Regularization(M)\n",
       "opt = inverse.InexactGaussNewton(maxIter=100,debug=False,LSreduction=0.3,maxIterLS=50)\n",
-      "inv = inverse.Inversion(prob,reg,opt,beta0=1e-4,maxIter=1)\n",
+      "inv = inverse.Inversion(prob,reg,opt,beta0=1e-4,maxIter=2)\n",
       "m0 = np.zeros_like(m_true)\n",
       "\n",
       "mrec = inv.run(m0)\n",
       "\n",
-      "# plt.figure(1)\n",
-      "# for i in range(prob.G.shape[0]):\n",
-      "#     plt.plot(prob.G[i,:])\n",
-      "\n",
-      "plt.figure(2)\n",
-      "\n",
       "plt.plot(M.vectorCCx, m_true, 'b-')\n",
-      "plt.plot(M.vectorCCx, mrec, 'r-')\n"
+      "plt.plot(M.vectorCCx, mrec, 'r-')"
      ],
      "language": "python",
      "metadata": {},
@@ -56,12 +50,14 @@
        "output_type": "stream",
        "stream": "stdout",
        "text": [
-        "============================== Inexact Gauss Newton ==============================\n",
-        "    #         beta         phi_d        phi_m          f            |g|       LS  \n",
-        "----------------------------------------------------------------------------------\n",
-        "     1      1.00e-04     6.06e-01     2.68e+04      9.57e+02      1.01e+04     0  \n",
-        "     2      1.00e-04     8.27e-02     2.29e+04      3.29e+00      1.66e+01     0  \n",
-        "     3      1.00e-04     4.60e-02     2.28e+04      2.37e+00      1.61e+02     0  "
+        "=================== Inexact Gauss Newton ===================\n",
+        "  #     beta     phi_d     phi_m       f        |g|     LS  \n",
+        "------------------------------------------------------------\n",
+        "   0  1.00e-04  9.53e+02  0.00e+00  9.53e+02  8.99e+03   0  \n",
+        "   1  1.00e-04  6.23e-01  2.62e+04  3.24e+00  1.53e+01   0  \n",
+        "   2  1.00e-04  8.70e-02  2.29e+04  2.37e+00  1.15e+02   0  \n",
+        "   3  1.00e-04  4.58e-02  2.28e+04  2.32e+00  1.02e+00   0  \n",
+        "   4  1.00e-04  3.59e-02  2.27e+04  2.31e+00  1.49e+01   0  "
        ]
       },
       {
@@ -69,9 +65,10 @@
        "stream": "stdout",
        "text": [
         "\n",
-        "     4      1.00e-04     3.80e-02     2.28e+04      2.33e+00      8.23e-01     0  \n",
-        "     5      1.00e-04     3.09e-02     2.28e+04      2.31e+00      6.80e-01     0  \n",
-        "     6      1.00e-04     2.91e-02     2.27e+04      2.31e+00      5.15e-01     0  "
+        "   5  1.00e-04  2.80e-02  2.27e+04  2.30e+00  5.71e-01   0  \n",
+        "   6  1.00e-04  2.46e-02  2.27e+04  2.30e+00  1.50e+01   0  \n",
+        "   7  1.00e-04  2.17e-02  2.27e+04  2.29e+00  3.62e-01   0  \n",
+        "   8  1.00e-04  2.05e-02  2.27e+04  2.29e+00  2.61e-01   0  "
        ]
       },
       {
@@ -79,9 +76,10 @@
        "stream": "stdout",
        "text": [
         "\n",
-        "     7      1.00e-04     2.59e-02     2.27e+04      2.30e+00      3.81e-01     0  \n",
-        "     8      1.00e-04     2.53e-02     2.27e+04      2.30e+00      3.56e-01     0  \n",
-        "     9      1.00e-04     2.34e-02     2.27e+04      2.30e+00      2.73e-01     0  "
+        "   9  1.00e-04  1.91e-02  2.27e+04  2.29e+00  2.59e-01   0  \n",
+        "  10  1.00e-04  1.85e-02  2.27e+04  2.29e+00  1.98e-01   0  \n",
+        "  11  1.00e-04  1.76e-02  2.27e+04  2.29e+00  2.06e-01   0  \n",
+        "  12  1.00e-04  1.73e-02  2.27e+04  2.29e+00  1.64e-01   0  "
        ]
       },
       {
@@ -89,9 +87,10 @@
        "stream": "stdout",
        "text": [
         "\n",
-        "    10      1.00e-04     2.31e-02     2.27e+04      2.30e+00      2.72e-01     0  \n",
-        "    11      1.00e-04     2.17e-02     2.27e+04      2.30e+00      2.17e-01     0  \n",
-        "    12      1.00e-04     2.15e-02     2.27e+04      2.30e+00      2.25e-01     0  "
+        "  13  1.00e-04  1.66e-02  2.27e+04  2.29e+00  1.74e-01   0  \n",
+        "  14  1.00e-04  1.63e-02  2.27e+04  2.29e+00  2.93e-01   0  \n",
+        "  15  1.00e-04  1.58e-02  2.27e+04  2.29e+00  1.51e-01   0  \n",
+        "  16  1.00e-04  1.56e-02  2.27e+04  2.29e+00  1.22e-01   0  "
        ]
       },
       {
@@ -99,9 +98,10 @@
        "stream": "stdout",
        "text": [
         "\n",
-        "    13      1.00e-04     2.04e-02     2.27e+04      2.29e+00      1.84e-01     0  \n",
-        "    14      1.00e-04     2.03e-02     2.27e+04      2.29e+00      1.96e-01     0  \n",
-        "    15      1.00e-04     1.93e-02     2.27e+04      2.29e+00      1.59e-01     0  "
+        "  17  1.00e-04  1.51e-02  2.27e+04  2.29e+00  1.33e-01   0  \n",
+        "  18  1.00e-04  1.50e-02  2.27e+04  2.29e+00  1.07e-01   0  \n",
+        "  19  1.00e-04  1.46e-02  2.27e+04  2.29e+00  5.30e-01   0  \n",
+        "  20  1.00e-04  1.45e-02  2.27e+04  2.28e+00  9.43e-02   0  "
        ]
       },
       {
@@ -109,61 +109,38 @@
        "stream": "stdout",
        "text": [
         "\n",
-        "    16      1.00e-04     1.93e-02     2.27e+04      2.29e+00      1.78e-01     0  \n",
-        "    17      1.00e-04     1.85e-02     2.27e+04      2.29e+00      1.40e-01     0  \n",
-        "    18      1.00e-04     1.84e-02     2.27e+04      2.29e+00      1.50e-01     0  "
-       ]
-      },
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "\n",
-        "    19      1.00e-04     1.77e-02     2.27e+04      2.29e+00      1.24e-01     0  \n",
-        "    20      1.00e-04     1.77e-02     2.27e+04      2.29e+00      1.30e-01     0  \n",
-        "    21      1.00e-04     1.71e-02     2.27e+04      2.29e+00      1.08e-01     0  "
-       ]
-      },
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "\n",
-        "    22      1.00e-04     1.72e-02     2.27e+04      2.29e+00      1.15e-01     0  \n",
         "------------------------- STOP! -------------------------\n",
-        "1 : |fc-fOld| = 2.0822e-04 <= tolF*(1+|f0|) = 9.5809e+01\n",
-        "1 : |xc-x_last| = 7.3609e-03 <= tolX*(1+|x0|) = 1.0000e-01\n",
-        "1 : |g|       = 9.5181e-02 <= tolG          = 1.0000e-01\n",
-        "0 : |g|       = 9.5181e-02 <= 1e3*eps       = 1.0000e-02\n",
-        "0 : maxIter   =     100    <= iter          =     22\n",
-        "------------------------- DONE! -------------------------\n"
+        "1 : |fc-fOld| = 2.2048e-04 <= tolF*(1+|f0|) = 9.5415e+01\n",
+        "1 : |xc-x_last| = 7.2682e-03 <= tolX*(1+|x0|) = 1.0000e-01\n",
+        "1 : |g|       = 9.4320e-02 <= tolG          = 1.0000e-01\n",
+        "0 : |g|       = 9.4320e-02 <= 1e3*eps       = 1.0000e-02\n",
+        "0 : maxIter   =     100    <= iter          =     20\n",
+        "------------------------- DONE! -------------------------\n",
+        "20"
        ]
       },
       {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 2,
+       "output_type": "stream",
+       "stream": "stdout",
        "text": [
-        "[<matplotlib.lines.Line2D at 0x10eb75fd0>]"
+        "\n"
        ]
       },
       {
        "metadata": {},
        "output_type": "display_data",
-       "png": 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rB6BXLzOUsrjYZzU59cwzMHGiQ+iDqd+yFPriPQp+kYtFRZnunn//23/r3LkT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\nAAAASUVORK5CYII=\n",
        "text": [
-        "<matplotlib.figure.Figure at 0x10eb75850>"
+        "<matplotlib.figure.Figure at 0x1109cd810>"
        ]
       }
      ],
-     "prompt_number": 2
+     "prompt_number": 17
     },
     {
      "cell_type": "code",
      "collapsed": false,
      "input": [
-      "\n",
-      "\n",
       "def Quadratic(x, return_g=True, return_H=True):\n",
       "    A = sp.identity(2)\n",
       "    b = np.array([-5,-5])\n",
@@ -175,25 +152,27 @@
       "    if return_H:\n",
       "        H = A\n",
       "        out += (H,)\n",
-      "    return out\n",
+      "    return out if len(out) > 1 else out[0]\n",
       "\n",
+      "# FUN = SimPEG.tests.Rosenbrock\n",
+      "FUN = Quadratic\n",
       "\n",
-      "f = Quadratic(np.array([1,2]))\n",
+      "f = FUN(np.array([1,2]))\n",
       "print f\n",
-      "n = 30\n",
+      "n = 50\n",
       "l = -10\n",
       "u = 10\n",
       "I = np.zeros((n,n))\n",
       "X = np.linspace(l,u,n)\n",
       "for i, x in enumerate(X):\n",
       "    for j, y in enumerate(X):\n",
-      "        f, g, H = Quadratic(np.array([x,y]))\n",
+      "        f, g, H = FUN(np.array([x,y]))\n",
       "        I[i,j] = f\n",
       "\n",
-      "contourf(X,X, I.T)\n",
+      "colorbar(contourf(X,X, I.T))\n",
       "\n",
       "GN = inverse.GaussNewton()\n",
-      "xopt = GN.minimize(Quadratic,np.array([0,0]))\n",
+      "xopt = GN.minimize(FUN,np.array([0,0]))\n",
       "print xopt"
      ],
      "language": "python",
@@ -205,7 +184,7 @@
        "text": [
         "(-12.5, array([-4., -3.]), <2x2 sparse matrix of type '<type 'numpy.float64'>'\n",
         "\twith 2 stored elements (1 diagonals) in DIAgonal format>)\n",
-        "=============== Gauss Newton ==============="
+        "======== Gauss Newton ========"
        ]
       },
       {
@@ -213,9 +192,10 @@
        "stream": "stdout",
        "text": [
         "\n",
-        "    #           f            |g|       LS  \n",
-        "-------------------------------------------\n",
-        "     1       0.00e+00      7.07e+00     0  \n",
+        "  #      f        |g|     LS  \n",
+        "------------------------------\n",
+        "   0  0.00e+00  7.07e+00   0  \n",
+        "   1 -2.50e+01  0.00e+00   0  \n",
         "------------------------- STOP! -------------------------\n",
         "0 : |fc-fOld| = 2.5000e+01 <= tolF*(1+|f0|) = 1.0000e-01\n",
         "0 : |xc-x_last| = 7.0711e+00 <= tolX*(1+|x0|) = 1.0000e-01\n",
@@ -237,9 +217,9 @@
       {
        "metadata": {},
        "output_type": "display_data",
-       "png": 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5SElJgaqqca1Dl0DOy8tDdXV1+H5LSwtKSkr67LdQuXfIYy1FLbZhSVzrMzwFDGUyuftv\n30K/MV1YF5ejDpglRZ/dQtYt6LNLaWkpSktLAQAPPfQQSkpKcPz4cbS2tsLtdqO1tRV5eXkx1afL\nyGLkyJEAbp9pceHCBRw4cAAej/F+FZV2lmwVHF9Yl4Tjq/b2dgBAQ0MD3nvvPeTm5sLj8aCurg43\nbtxAXV0dCgoKYlpDt7MsXnzxRSxZsgQzZszAsmXLcM8990R9LJGnwEkbyoroAhJEwr+YpDNJX+9v\nfetbcDqdePLJJ1FXVwebzQav14u2tjZkZWXh4sWLWLp0aUxr2NR4D0G0LmyzYbc6S/P+IscWUs6S\nQxTRBSQQRxjmN1AYv2WLeV5rs9kwR/2Dpn332hbEfT6shWGu1GOXTOyWTYyvLQADBTINQBFdgAD8\ni2sufD3DDBXI7JIHoIguQAB2VMbH17APQwUyDUIRXYAg/AttPAziARkukNklD0IRXYAg/AtuDHyd\nhmS4QBZN+lC2Mv6FlxdfF00MGcj8aM5BKKILkACDWR58LSJiyEAWTfouWRFdgCQYBuLwuY+KYQOZ\nXfIQFNEFSIThkBih55nPddQMG8iiSd8lAwzl3hgW+uDzGjeGDmTRXTJD2aDYycUHn8O4E/p5yJQg\nChjMA+keKPysjKExgHVl6A4ZYJesmSK6AANg59w/Pi8JY/hABhjKmimiCzAQq4eQ1f//BeHIIk6k\n/cqn3hQwmCPVO5TMONpg8ErBNIHMr3qKgAKGcizMENAMYCmZJpBlYJguGWAox9OAH6ouQVAzeA3F\nMN8YopUMXbJhQhlgKIsWS2hbKWwt8o0hpgtkgKEcMUV0AURDsEggm+IsC4qRIroAIvldu3YNjzzy\nCCZMmIDs7Gz4/X4Eg0GUlZXB4XCgvLwcV69ejWkNUway6NPgAAOdCheiiC6ASG4/+clP4HA4cOrU\nKZw6dQpOpxM1NTVwOBw4c+YM0tPTsW3btpjWMGUgAwzlqCiiCyCSV0NDA3784x9j+PDhGDZsGEaO\nHIlAIIDKykqkpKSgoqICfn9sb+SaNpBlYchQVgTXQCSZf/7zn7h58ya8Xi88Hg82btyIGzduoLm5\nGU6nEwDgdDoRCARiWsfUgSxDlwwYMJQBhjJZSqfvPZxR/id86+3mzZt4//33sWDBAvh8PrS0tOD3\nv/993N/4M+VZFr3JcNYFYLAzL0IU0QUQIW5nWeCQxmNM67uey+VCa2srAGDv3r34zW9+g08++QRr\n166F2+3GsWPHsGHDBuzcuTPqGk3dIVMcKKILIJJDZmYm/H4/bt26hT/+8Y+YMWMGPB4P6urqcOPG\nDdTV1aGgoCCmNSwRyBxdxEgBg5ks74UXXsCKFSuQm5uL4cOH46GHHoLX60VbWxuysrJw8eJFLF26\nNKY1LDGyCOHoIg4U0QWQJUkwskgES3TIsjFspwwwkIl0ZKlAlmV0AZgglBXBNRCZkNBAnv/O/oSv\nyVCOI0V0AUTmIrxDZiibIJQVwTUQmYTwQBaFoRxniugCiIxPikAW0SXLxjShrAiugcjApAhkgKML\nwCShDDCYiaIkTSCLwlDWkSK6ACJjkSqQRY0uGMo6UsBgJtJIqkAGGMohpgplgMFMpIF0gQwwlENM\nF8oAg5loEFIGMn1uTuHrDGYii5A2kNkl92TKUAYYzETdSBvIAEO5N9OGMsBgJoLkgQwwlHszdSgD\nDGbqSYGl/jxIH8giMZQFUmC5v4zUjQJLvvZCP6BePal9/z2TE/th9t3J8sH2/TH0h91HShFdAOlK\nGeSxOHxgvBE+oN4wgQwwlAdiqVAOUUQXQHGjaNiHgazzwlEEMsBQHoglQzlEEV0ARUyJcH+LBLIu\nM2RFUZCeng632w232419+/bF7dgiPxlO1pkyYOLzlbVQwFA2AgWGfa1u3rwJj8eDKVOmoKCgAJs2\nbQIABINBlJWVweFwoLy8HFevXo1pHV065HXr1iE1NRUrV64ceOEoO2RAbJcMyN0pAxbvlrtTRBdA\ncXsNJOiQr1+/jjvvvBP//ve/cf/992PXrl3YtWsXPvjgA7zwwgtYtWoVxo0bh9WrV0ddo25nWejZ\n7ov+/GSZO2XAImdhaKHAsB2ZoSkw5fN+5513AgCuXr2Krq4upKSkIBAIoLKyEikpKaioqIDf749p\nDd0CecuWLSgoKMDGjRsRDAbjfnyG8uAsPcLojwJThoQUFFji+b116xYmT54Mu92OH/zgB3A4HGhu\nbobT6QQAOJ1OBAKBmNaIemQxc+ZMfPjhh322P/PMMygoKMCXv/xlXLlyBdXV1ZgwYUKfNt5ms+En\n3X7zL/rfQFFe5HVwfDE0jjCGoIguwGCUBKxxwgec9H1+/9fr4jOymD7AMf6vD/h/3da7MPB6Fy5c\nwNy5c/G73/0OZWVleP/99zF8+HBcv34dLpcL//jHP6KvUe+zLN555x0sW7YMhw8f7rlwDDPk3hjK\n2jCYI6CILkAiiugCEL8Z8kCB3Ntbg6+3evVq3HvvvThw4ADWrl0Lt9uNY8eOYcOGDdi5c2fUNQ6L\n+icHcenSJaSlpaGrqwvbt2/H3Llz9VgmbP47+4WG8lLUGiKU5xS+zlDWStG4zUwU0QXIq6OjA8OG\nDcOXvvQldHZ2Yv/+/Vi1ahWuXLmCuro6PPfcc6irq0NBQUFM6+jSIS9atAgnT55EcnIyCgsLsXbt\nWowePbrnwnHskEPYKWvHYI4zRXQBEVBEFxAFwR3yu+++i0ceeQT/+c9/MGbMGHzve9/DokWLEAwG\n8f3vfx8nTpxAbm4uXn31VYwYMSL6Go12YchQRIcyYJxgZigLoBj02KJJNrLQi+kCGWAoR4rBTNKz\nSCCb8tPeRJ8SB8h/Wlx3PEWOSA6mDGSAoRwNhjKRWKYNZIChHA12y0TimDqQAYZytBjMRIlnyjf1\n+iPDG32Asd7s645v/JFQfFPPXGTolAFjdssAO2aiRLBMIAMM5XhgMBPpR+zIYiGA/0782rKMLwDj\njjBCOMqghODIIkE2Jn5JWTplwNjdMsCOmSiexAeyIAzl+GIwE8VO/MgiRMDoApBrfAEYf4QRwlEG\nxRVHFgkmYHQByNUpA+bolgF2zETRkKdDDmGnHGaWbjmEXTNFjR2yIOyUw8zSLYewayYanHwdcgg7\n5R7M1i2HsGsmTSzSIcsbyICwUAbkDGazhnIIw5kGxEDWeWEtgQwwlPvBYCYrmVP4OvbaFjCQdV1Y\nayADDOV+mD2UQxjO1tT7vQYZArmxsRFLlixBV1cXqqqqsHz58pjq6bdGQwQywFAegFWCOYQBbV6D\nveErQyC73W689NJLGDt2LGbPno2mpibcc889MdXUp0bDBDLAUB6E1YIZYDibgdazbkQH8uXLl1FU\nVIQTJ04AAKqqqjB79mzMmzcvppp6GxbXo+ltI4SFcui0OFmDeSlqLRfKfX6tZUBLz6inPTY3N8Pp\ndIbvZ2dn48iRIxYPZEBoKAO3g1nmUAas2S0DDGgZGTWARTHWyKI3jjAGZdVgHggDWn96BXDcRhY4\nMsCjxwAc73b/lUFHFsuXL0dJSUncO2RjBzIgNJQBBrPRMaSjl8juV/9A7q1gwDf1HA4HSkpK+Kbe\ngBjKQ2Ioa8eQ7kv06EGGQD506BCWLl2KTz/9FFVVVaiqqoqpnn5rNEUgAwxljRjMsTFzWIsO3cHI\nEMiJYJ5ABoSHMsBgtjpZA1vmsNWCgaz3wnoEMsBQjhCDmYyAgaz3wnoFMiBFKAMMZqJ4sUogy/d5\nyPGwEcI+V7k7GT9jeSBLUWu6z18mMhpzdsjdsVuOGrtmkgU7ZLOQoFMGjNUth7BrJkos83fIIZJ0\nyoAxu2WAHTOJww7ZbCSZKwPG7JYBdsxEehPaITcB+K9Edskh7Jbjhl0zJQI75AQ5vEPAopJ0yoBx\nu+UQds1E8SO8Qw6xeqcMGL9bDmHXTPFmlQ5ZmkAGBIUywGDWEcOZ4oGBrPfC/QQywFDuzkzBDDCc\nKXoMZL0XHiCQAYZyd2YL5RCGM0WCgaz3woMEcgiD+XNmDWaA4UxDYyDrvbCGQAYYyr2ZOZgBhjP1\nj4Gs98IaAxkQGMoAg1kwBrR1dT+dssy2n4Gs68IRBDLAUB6IVYIZYDib3WDnszOQ9V44wkAGBIcy\nwGCWDAPa2CK5oMgqgRz1lXqvvfYaJk6ciDvuuAPHjx/v8djmzZuRmZmJ7OxsNDVFGrsDO7xD0JV9\nIRJd4dfb/Hf2G/6qv0iFrhLsfiN5mfW1euqppzB58mRMmTIFDz/8MDo7O8OPRZqFUXfIp0+fRlJS\nEpYsWYKf/exnyM3NBQC0t7ejsLAQ+/fvx/nz5/HEE0/0CWwgug65OzN1y75moCgvfscDjNsxv+v7\nF3KKRsfteEbuojt97+Huokmiy4hKvANX5g45GAwiNTUVALB+/Xp0dXVh/fr1mrOwu2Eaq+vD6XT2\nu93v96OkpAQOhwMOhwOqqvYoOF4O7xAcyhsRt1D2HY1/IIe6ZaMF83txDuSBgsEIQf0vX4shAtlM\n3W40QtnW1dWFa9euYeTIkQCiy8KoA3kggUAALpcrfD8rKwuBQAAPPPBAvJcKjy+EBXNohCHxbNmo\nwaw3Iwe1KFYP3sGsWbMGtbW1yMrKgs/nAxBdFg4ayDNnzsSHH37YZ/uzzz6L0tLSfn+mvzb/9q8K\n+jFTt6wXBrM2DGoGb3+GysJnnnkGa9aswZo1a/DDH/4QmzZtii4L1RgVFRWpx44dC9/fs2ePWlVV\nFb4/efJk9cqVK31+bvz48SoA3njjjbchb+PHj481qiJab8SIEVGtcerUKdXj8aiqqj0Lu4vLyELt\n9i9Bfn4+qqur0dbWhnPnziEpKanfmcnZs2fjsTQRkSaqTqexnTlzBpmZmejq6sKOHTvw4IMPAtCe\nhd1FHci7du1CVVUVOjo6MG/ePLjdbuzduxd2ux1erxfFxcVITk5GbS1//SEi83ryySfxt7/9DV/8\n4hdRVFSERx99FACiykJhF4YQEVFPCf8KJxEXlBiBoihIT0+H2+2G2+3Gvn37RJeUcI2NjXC5XMjM\nzMSWLVtElyPUuHHjcN9998HtdiM/P190OQlVUVEBu92OnJyc8LZgMIiysjI4HA6Ul5fj6tWrAivU\nT8IDOScnB7t27UJhYWGP7e3t7di6dSsOHjyImpoaVFVVJbo0oWw2G1auXIkTJ07gxIkTKCkpEV1S\nwq1YsQK1tbVoaGjAyy+/jI6ODtElCWOz2eDz+XDixAkEAgHR5STU4sWL+zQkNTU1cDgcOHPmDNLT\n07Ft2zZB1ekr4YHsdDoxYcKEPtu7n0Q9bdq08EnUVmLl6dHly5cBAIWFhRg7dixmzZoFv98vuCqx\nrPrnYerUqRg1alSPbYFAAJWVlUhJSUFFRYVp/2wI/9bpkIFOoraSLVu2oKCgABs3brTcP0bNzc09\nrv7Mzs7GkSNaL3M1H5vNhuLiYpSXl2PPnj2iyxGu+58Pp9Np2myI+5V6gHEuKEm0gZ6XZ555Bl6v\nF08//TSuXLmC6upq1NbWYvXq1QKqJBkcPnwYaWlpaG1tRWlpKfLz8zFmzBjRZQljld8WdAnkAwcO\nRPwzHo8HDQ0N4funT59GXl6cP+BBMC3Py8iRI/HYY49h2bJllgrkvLw8VFdXh++3tLRYco4ekpaW\nBgBwuVyYP38+3nzzzfDpVFaUl5eH1tZWuN1utLa2mi4bQoSOLHpfUFJfX4+2tjb4fD5NJ1GbyaVL\nlwDc/oCS7du3Y+7cuYIrSqzQB7I0NjbiwoULOHDgADwej+CqxLh+/Xp4ZPXxxx+jvr7e0v84Abcb\ntrq6Oty4cQN1dXUoKCgQXZI+oro+MAavv/66mp6erg4fPly12+1qSUlJ+LEXX3xRHT9+vOpyudTG\nxsZElybUww8/rObk5Kj333+/+sQTT6idnZ2iS0o4n8+nOp1Odfz48epLL70kuhxhzp07p06ePFmd\nPHmyWlxcrL7yyiuiS0qohx56SE1LS1OTk5PV9PR0ta6uTr1y5Yo6f/58NSMjQy0rK1ODwaDoMnXB\nC0OIiCQhzVkWRERWx0AmIpIEA5mISBIMZCIiSTCQiYgkwUAmIpIEA5mISBIMZCIiSfx/MpMmbrDt\nBFYAAAAASUVORK5CYII=\n",
        "text": [
-        "<matplotlib.figure.Figure at 0x10f7ee5d0>"
+        "<matplotlib.figure.Figure at 0x10c840c50>"
        ]
       }
      ],
@@ -249,154 +229,12 @@
      "cell_type": "code",
      "collapsed": false,
      "input": [
-      "\n",
-      "\n",
-      "class ProjectedGradient(Minimize):\n",
-      "    name = 'Projected Gradient'\n",
-      "\n",
-      "    maxIterCG = 10\n",
-      "    tolCG = 1e-3\n",
-      "    \n",
-      "    lower = -0.4\n",
-      "    upper = 0.9\n",
-      "    \n",
-      "    def __init__(self,**kwargs):\n",
-      "        super(ProjectedGradient, self).__init__(**kwargs)\n",
-      "        \n",
-      "        self.stoppers.append({\n",
-      "                \"str\":      \"%d : probSize  =    %3d   <= bindingSet      =    %3d\",\n",
-      "                \"left\":     lambda M: M.xc.size,\n",
-      "                \"right\":    lambda M: np.sum(M.bindingSet(M.xc)),\n",
-      "                \"stopType\": \"critical\"\n",
-      "             })\n",
-      "        \n",
-      "        self.stoppersLS.append({\n",
-      "                \"str\":      \"%d : probSize  =    %3d   <= bindingSet      =    %3d\",\n",
-      "                \"left\":     lambda M: M._LS_xt.size,\n",
-      "                \"right\":    lambda M: np.sum(M.bindingSet(M._LS_xt)),\n",
-      "                \"stopType\": \"critical\"\n",
-      "             })\n",
-      "        \n",
-      "        self.printers.append({\"title\":    \"itType\",\n",
-      "                              \"value\":    lambda M: M._itType,\n",
-      "                              \"width\":    8, \"format\":   \"%s\"})\n",
-      "        self.printers.append({\"title\":    \"aSet\",\n",
-      "                              \"value\":    lambda M: np.sum(M.activeSet(M.xc)),\n",
-      "                              \"width\":    8, \"format\":   \"%d\"})\n",
-      "        self.printers.append({\"title\":    \"bSet\",\n",
-      "                              \"value\":    lambda M: np.sum(M.bindingSet(M.xc)),\n",
-      "                              \"width\":    8, \"format\":   \"%d\"})\n",
-      "        self.printers.append({\"title\":    \"Comment\",\n",
-      "                              \"value\":    lambda M: M.projComment,\n",
-      "                              \"width\":    7, \"format\":   \"%s\"})\n",
-      "        \n",
-      "\n",
-      "    def _startup(self, x0):\n",
-      "        # ensure bound vectors are the same size as the model\n",
-      "        if type(self.lower) is not np.ndarray:\n",
-      "            self.lower = np.ones_like(x0)*self.lower\n",
-      "        if type(self.upper) is not np.ndarray:\n",
-      "            self.upper = np.ones_like(x0)*self.upper\n",
-      "            \n",
-      "        self.explorePG = True\n",
-      "        self.exploreCG = False\n",
-      "        self.stopDoingCG = False\n",
-      "        \n",
-      "        self._itType = 'SD'\n",
-      "        \n",
-      "        self.aSet_prev = self.activeSet(x0)\n",
-      "        \n",
-      "    def projection(self, x):\n",
-      "        \"\"\"Make sure we are feasible.\"\"\"\n",
-      "        return np.median(np.c_[self.lower,x,self.upper],axis=1)\n",
-      "    \n",
-      "    def activeSet(self, x):\n",
-      "        \"\"\"If we are on a bound\"\"\"\n",
-      "        return np.logical_or(x == self.lower, x == self.upper)\n",
-      "    \n",
-      "    def inactiveSet(self, x):\n",
-      "        \"\"\"The free variables.\"\"\"\n",
-      "        return np.logical_not(self.activeSet(x))\n",
-      "    \n",
-      "    def bindingSet(self, x):\n",
-      "        \"\"\"\n",
-      "            If we are on a bound and the negative gradient points away from the feasible set. \n",
-      "        \n",
-      "            Optimality condition. (Satisfies Kuhn-Tucker) MoreToraldo91\n",
-      "        \n",
-      "        \"\"\"\n",
-      "        bind_up  = np.logical_and(x == self.lower, self.g >= 0)\n",
-      "        bind_low = np.logical_and(x == self.upper, self.g <= 0)\n",
-      "        return np.logical_or(bind_up, bind_low)\n",
-      "        \n",
-      "    def findSearchDirection(self):\n",
-      "        self.aSet_prev = self.activeSet(self.xc)\n",
-      "#         print 'fsd: stopDoingCG: ', self.stopDoingCG\n",
-      "        if self.explorePG or not self.exploreCG:\n",
-      "#             print 'fsd: doingCG'\n",
-      "            self._itType = 'SD'\n",
-      "            p = -self.g\n",
-      "        else:\n",
-      "            self.f_decrease_max = -np.inf # Reset the max decrease each time you do a CG iteration\n",
-      "            self._itType = '.CG.'\n",
-      "            iSet  = self.inactiveSet(self.xc)  # The inactive set (free variables)\n",
-      "            aSet = self.activeSet(self.xc)\n",
-      "            bSet = self.bindingSet(self.xc)\n",
-      "            shape = (self.xc.size, np.sum(iSet))\n",
-      "            v = np.ones(shape[1])\n",
-      "            i = np.where(iSet)[0]\n",
-      "            j = np.arange(shape[1])\n",
-      "            Z = sp.csr_matrix((v, (i, j)), shape=shape)\n",
-      "            def reduceHess(v):\n",
-      "                # Z is tall and skinny\n",
-      "                return Z.T*(self.H*(Z*v))\n",
-      "            operator = sp.linalg.LinearOperator( (shape[1], shape[1]), reduceHess, dtype=float )\n",
-      "            p, info  = sp.linalg.cg(operator, -Z.T*self.g, tol=self.tolCG, maxiter=self.maxIterCG)\n",
-      "            p = Z*p  #  bring up to full size\n",
-      "            aSet_after = self.activeSet(self.xc+p)\n",
-      "        return p\n",
-      "    \n",
-      "    def _doEndIteration(self, xt):\n",
-      "        aSet = self.activeSet(xt)\n",
-      "        bSet = self.bindingSet(xt)\n",
-      "        \n",
-      "        self.explorePG = not np.all(aSet == self.aSet_prev) # explore proximal gradient\n",
-      "        self.exploreCG = np.all(aSet == bSet) # explore conjugate gradient\n",
-      "        \n",
-      "        f_current_decrease = self.f_last - self.f\n",
-      "        self.projComment = ''\n",
-      "#         print f_current_decrease\n",
-      "        if self._iter < 1:\n",
-      "            self.f_decrease_max = -np.inf\n",
-      "        else:\n",
-      "            # Note that I reset this if we do a CG iteration.\n",
-      "            self.f_decrease_max = max(self.f_decrease_max, f_current_decrease)\n",
-      "            self.stopDoingCG = f_current_decrease < 0.25 * self.f_decrease_max\n",
-      "#             print 'f_decrease_max: ', self.f_decrease_max\n",
-      "#             print 'stopDoingCG: ', self.stopDoingCG\n",
-      "            if self.stopDoingCG:\n",
-      "                self.projComment = 'Stop SD'\n",
-      "                self.explorePG = False\n",
-      "                self.exploreCG = True\n",
-      "        # implement 3.8, MoreToraldo91\n",
-      "        #self.eta_2 * max_decrease # where max decrease\n",
-      "        # if true go to CG\n",
-      "        # don't do too many steps of PG in a row."
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [],
-     "prompt_number": 12
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "opt = ProjectedGradient(maxIter=20,maxStep=0.2, maxIterLS=20)\n",
-      "\n",
-      "opt.lower = np.array([-1,-1])\n",
-      "opt.upper = np.array([1,1])\n",
-      "opt.minimize(Quadratic,np.array([0,0.2]))"
+      "opt = inverse.ProjectedGradient(maxIter=50,maxStep=np.inf, maxIterLS=20, debug=False)\n",
+      "opt.remember('f')\n",
+      "opt.lower = np.array([-2,-1])\n",
+      "opt.upper = np.array([2,10])\n",
+      "opt.minimize(FUN,np.array([50,0]))\n",
+      "plot(opt.recall('f'))"
      ],
      "language": "python",
      "metadata": {},
@@ -405,288 +243,766 @@
        "output_type": "stream",
        "stream": "stdout",
        "text": [
-        "=========================== Projected Gradient ===========================\n",
-        "    #           f            |g|       LS   itType   aSet    bSet  Comment\n",
-        "--------------------------------------------------------------------------\n",
-        "     1      -9.80e-01      6.93e+00     0     SD      0       0           \n",
-        "     2      -2.86e+00      6.65e+00     0    .CG.     0       0           \n",
-        "     3      -4.67e+00      6.38e+00     0    .CG.     0       0           \n",
-        "     4      -6.40e+00      6.10e+00     0    .CG.     0       0           \n",
-        "     5      -8.05e+00      5.82e+00     0    .CG.     2       2           \n",
+        "===================== Projected Gradient =====================\n",
+        "  #      f        |g|     LS   itType   aSet    bSet  Comment\n",
+        "-------------------------------------------------------------\n",
+        "   0 -8.00e+00  5.83e+00   0     SD      1       1           \n",
+        "   1 -2.05e+01  3.00e+00   0     SD      1       1           \n",
+        "   2 -2.05e+01  3.00e+00   0    .CG.     1       1           \n",
+        "   3 -2.05e+01  3.00e+00   0    .CG.     1       1           \n",
+        "   4 -2.05e+01  3.00e+00   0    .CG.     1       1           \n",
+        "   5 -2.05e+01  3.00e+00   0    .CG.     1       1           \n",
+        "   6 -2.05e+01  3.00e+00   0    .CG.     1       1           \n",
+        "   7 -2.05e+01  3.00e+00   0    .CG.     1       1           \n",
+        "   8 -2.05e+01  3.00e+00   0    .CG.     1       1           \n",
+        "   9 -2.05e+01  3.00e+00   0    .CG.     1       1           \n",
+        "  10 -2.05e+01  3.00e+00   0    .CG.     1       1           \n",
+        "  11 -2.05e+01  3.00e+00   0    .CG.     1       1           \n",
+        "  12 -2.05e+01  3.00e+00   0    .CG.     1       1           \n",
+        "  13 -2.05e+01  3.00e+00   0    .CG.     1       1           \n",
+        "  14 -2.05e+01  3.00e+00   0    .CG.     1       1           \n",
+        "  15 -2.05e+01  3.00e+00   0    .CG.     1       1           \n",
+        "  16 -2.05e+01  3.00e+00   0    .CG.     1       1           \n",
+        "  17 -2.05e+01  3.00e+00   0    .CG.     1       1           \n",
+        "  18 -2.05e+01  3.00e+00   0    .CG.     1       1           \n",
+        "  19 -2.05e+01  3.00e+00   0    .CG.     1       1           \n",
+        "  20 -2.05e+01  3.00e+00   0    .CG.     1       1           \n",
+        "  21 -2.05e+01  3.00e+00   0    .CG.     1       1           \n",
+        "  22 -2.05e+01  3.00e+00   0    .CG.     1       1           \n",
+        "  23 -2.05e+01  3.00e+00   0    .CG.     1       1           \n",
+        "  24 -2.05e+01  3.00e+00   0    .CG.     1       1           \n",
+        "  25 -2.05e+01  3.00e+00   0    .CG.     1       1           \n",
+        "  26 -2.05e+01  3.00e+00   0    .CG.     1       1           \n",
+        "  27 -2.05e+01  3.00e+00   0    .CG.     1       1           \n",
+        "  28 -2.05e+01  3.00e+00   0    .CG.     1       1           \n",
+        "  29 -2.05e+01  3.00e+00   0    .CG.     1       1           \n",
+        "  30 -2.05e+01  3.00e+00   0    .CG.     1       1           \n",
+        "  31 -2.05e+01  3.00e+00   0    .CG.     1       1           \n",
+        "  32 -2.05e+01  3.00e+00   0    .CG.     1       1           \n",
+        "  33 -2.05e+01  3.00e+00   0    .CG.     1       1           \n",
+        "  34 -2.05e+01  3.00e+00   0    .CG.     1       1           "
+       ]
+      },
+      {
+       "output_type": "stream",
+       "stream": "stdout",
+       "text": [
+        "\n",
+        "  35 -2.05e+01  3.00e+00   0    .CG.     1       1           \n",
+        "  36 -2.05e+01  3.00e+00   0    .CG.     1       1           \n",
+        "  37 -2.05e+01  3.00e+00   0    .CG.     1       1           \n",
+        "  38 -2.05e+01  3.00e+00   0    .CG.     1       1           \n",
+        "  39 -2.05e+01  3.00e+00   0    .CG.     1       1           \n",
+        "  40 -2.05e+01  3.00e+00   0    .CG.     1       1           \n",
+        "  41 -2.05e+01  3.00e+00   0    .CG.     1       1           \n",
+        "  42 -2.05e+01  3.00e+00   0    .CG.     1       1           \n",
+        "  43 -2.05e+01  3.00e+00   0    .CG.     1       1           \n",
+        "  44 -2.05e+01  3.00e+00   0    .CG.     1       1           \n",
+        "  45 -2.05e+01  3.00e+00   0    .CG.     1       1           \n",
+        "  46 -2.05e+01  3.00e+00   0    .CG.     1       1           \n",
+        "  47 -2.05e+01  3.00e+00   0    .CG.     1       1           \n",
+        "  48 -2.05e+01  3.00e+00   0    .CG.     1       1           \n",
+        "  49 -2.05e+01  3.00e+00   0    .CG.     1       1           \n",
+        "  50 -2.05e+01  3.00e+00   0    .CG.     1       1           \n",
         "------------------------- STOP! -------------------------\n",
-        "0 : |fc-fOld| = 9.4851e-01 <= tolF*(1+|f0|) = 1.9800e-01\n",
-        "0 : |xc-x_last| = 2.0254e-01 <= tolX*(1+|x0|) = 1.2000e-01\n",
-        "0 : |g|       = 1.4142e+00 <= tolG          = 1.0000e-01\n",
-        "0 : |g|       = 5.6569e+00 <= 1e3*eps       = 1.0000e-02\n",
-        "0 : maxIter   =      20    <= iter          =      5\n",
-        "1 : probSize  =      2   <= bindingSet      =      2\n",
+        "1 : |fc-fOld| = 0.0000e+00 <= tolF*(1+|f0|) = 9.0000e-01\n",
+        "1 : |xc-x_last| = 0.0000e+00 <= tolX*(1+|x0|) = 3.0000e-01\n",
+        "0 : |g|       = 2.0000e+00 <= tolG          = 1.0000e-01\n",
+        "0 : |g|       = 3.0000e+00 <= 1e3*eps       = 1.0000e-02\n",
+        "1 : maxIter   =      50    <= iter          =     50\n",
+        "0 : probSize  =      2   <= bindingSet      =      1\n",
         "------------------------- DONE! -------------------------\n"
        ]
       },
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 4,
+       "text": [
+        "[<matplotlib.lines.Line2D at 0x10df6f090>]"
+       ]
+      },
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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Yg16joaGh/7nf79fIkX6dOBHV2gHA88LhsMLhcEJzGGakZI7S888/r/Xr12vbtm0aMWKE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\n3QAAAABJRU5ErkJggg==\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x10c8d1b50>"
+       ]
+      }
+     ],
+     "prompt_number": 4
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "opt = inverse.ProjectedGradient(maxIter=50, maxStep=0.3,debug=False, maxIterLS=20, tolCG=1e-5, maxIterCG=1000)\n",
+      "opt.lower, opt.upper = -0.4, 0.9\n",
+      "opt.remember('f', 'xc', ('norm_g', lambda M: np.linalg.norm(M.g)), 'phi_d', 'phi_m')\n",
+      "inv = inverse.Inversion(prob,reg,opt,beta0=1e-4)\n",
+      "m0 = np.zeros_like(m_true)\n",
+      "mrecB = inv.run(m0)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "output_type": "stream",
+       "stream": "stdout",
+       "text": [
+        "==================================== Projected Gradient ====================================\n",
+        "  #     beta     phi_d     phi_m       f        |g|     LS   itType   aSet    bSet  Comment\n",
+        "-------------------------------------------------------------------------------------------\n",
+        "   0  1.00e-04  9.78e+02  0.00e+00  9.78e+02  7.08e+03   0     SD      0       0           \n",
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+        "  10  1.00e-04  5.68e+01  1.39e+04  5.81e+01  1.17e+03  10     SD      11      8    Stop SD\n",
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+       ]
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+       ]
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+        "\n",
+        "  14  1.00e-04  1.76e+01  2.72e+04  2.03e+01  9.85e+02   8     SD     157      6           \n",
+        "  15  1.00e-04  1.71e+01  2.72e+04  1.99e+01  4.69e+02  11     SD      8       8           \n",
+        "  16  1.00e-04  1.71e+01  2.72e+04  1.98e+01  4.28e+02  11     SD      62      22   Stop SD\n",
+        "  17  1.00e-04  1.71e+01  2.71e+04  1.98e+01  4.04e+02   7    .CG.    199     165          "
+       ]
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+        "\n",
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+        "  24  1.00e-04  1.69e+01  2.72e+04  1.96e+01  4.35e+01  15     SD     210     209   Stop SD\n",
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+       ]
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+        "  27  1.00e-04  8.88e+00  3.57e+04  1.24e+01  4.15e+02  11     SD      48      21   Stop SD\n",
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+       ]
+      },
+      {
+       "output_type": "stream",
+       "stream": "stdout",
+       "text": [
+        "\n",
+        "  29  1.00e-04  8.80e+00  3.56e+04  1.24e+01  2.17e+01  14     SD     180     180          \n",
+        "  30  1.00e-04  8.80e+00  3.56e+04  1.24e+01  2.53e+01  16     SD     202     202   Stop SD\n",
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+       ]
+      },
+      {
+       "output_type": "stream",
+       "stream": "stdout",
+       "text": [
+        "\n",
+        "  32  1.00e-04  8.76e+00  3.57e+04  1.23e+01  1.41e+02  13     SD     105      56          \n",
+        "  33  1.00e-04  8.75e+00  3.57e+04  1.23e+01  8.27e+01  13     SD     183     157          \n",
+        "  34  1.00e-04  8.75e+00  3.57e+04  1.23e+01  1.89e+01  15     SD     182     182          \n",
+        "  35  1.00e-04  8.75e+00  3.57e+04  1.23e+01  7.51e+01  13     SD     233     208          \n",
+        "  36  1.00e-04  8.75e+00  3.57e+04  1.23e+01  2.09e+01  15     SD     208     208   Stop SD\n",
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+       ]
+      },
+      {
+       "output_type": "stream",
+       "stream": "stdout",
+       "text": [
+        "\n",
+        "  38  1.00e-04  8.75e+00  3.57e+04  1.23e+01  3.25e+01  15     SD     227     227   Stop SD\n",
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+       ]
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+       "output_type": "stream",
+       "stream": "stdout",
+       "text": [
+        "\n",
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+        "  41  1.00e-04  8.57e+00  3.60e+04  1.22e+01  1.14e+02  12     SD     141      78   Stop SD\n",
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+       ]
+      },
+      {
+       "output_type": "stream",
+       "stream": "stdout",
+       "text": [
+        "\n",
+        "  43  1.00e-04  8.57e+00  3.60e+04  1.22e+01  6.28e+01  14     SD     138     116   Stop SD\n",
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+       ]
+      },
+      {
+       "output_type": "stream",
+       "stream": "stdout",
+       "text": [
+        "\n",
+        "  45  1.00e-04  8.56e+00  3.60e+04  1.22e+01  4.77e+01  14     SD     208     201   Stop SD\n",
+        "  46  1.00e-04  8.56e+00  3.60e+04  1.22e+01  4.84e+01  16    .CG.    230     223          "
+       ]
+      },
+      {
+       "output_type": "stream",
+       "stream": "stdout",
+       "text": [
+        "\n",
+        "  47  1.00e-04  8.56e+00  3.60e+04  1.22e+01  3.88e+01  15     SD     225     211   Stop SD\n",
+        "  48  1.00e-04  6.48e+00  4.91e+04  1.14e+01  1.51e+03   0    .CG.    264     170          "
+       ]
+      },
+      {
+       "output_type": "stream",
+       "stream": "stdout",
+       "text": [
+        "\n",
+        "  49  1.00e-04  5.17e+00  4.91e+04  1.01e+01  2.64e+02  10     SD     170      14          \n",
+        "  50  1.00e-04  5.14e+00  4.91e+04  1.00e+01  1.04e+02  13     SD      16      16          \n",
+        "------------------------- STOP! -------------------------\n",
+        "1 : |fc-fOld| = 3.5178e-02 <= tolF*(1+|f0|) = 9.7931e+01\n",
+        "1 : |xc-x_last| = 4.3861e-04 <= tolX*(1+|x0|) = 1.0000e-01\n",
+        "0 : |g|       = 1.7094e+01 <= tolG          = 1.0000e-01\n",
+        "0 : |g|       = 1.0410e+02 <= 1e3*eps       = 1.0000e-02\n",
+        "1 : maxIter   =      50    <= iter          =     50\n",
+        "0 : probSize  =    1000   <= bindingSet      =     16\n",
+        "------------------------- DONE! -------------------------\n"
+       ]
+      }
+     ],
+     "prompt_number": 7
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "# First set up the figure, the axis, and the plot element we want to animate\n",
+      "fig = plt.figure()\n",
+      "ax = plt.axes()\n",
+      "ax.plot(M.vectorCCx, m_true, 'b-')\n",
+      "txt = plt.text(0.8,0.9,'')\n",
+      "line, = ax.plot([], [], 'r-', lw=1)\n",
+      "\n",
+      "def animate(i):\n",
+      "    txt.set_text('iteration %d'%i)\n",
+      "    line.set_data(M.vectorCCx, np.array(opt.recall('xc')[i]))\n",
+      "\n",
+      "SimPEG.utils.animate(fig, animate, frames=len(opt.recall('xc')))"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "html": [
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+        "MTA0\n",
+        "\" type=\"video/mp4\">\n",
+        " Your browser does not support the video tag.\n",
+        "</video>"
+       ],
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 14,
+       "text": [
+        "<matplotlib.animation.FuncAnimation at 0x1106025d0>"
+       ]
+      }
+     ],
+     "prompt_number": 14
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "plot(opt.recall('phi_m'))"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
       {
        "metadata": {},
        "output_type": "pyout",
        "prompt_number": 13,
        "text": [
-        "array([ 1.,  1.])"
+        "[<matplotlib.lines.Line2D at 0x1105d5c50>]"
+       ]
+      },
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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BqqoqUlNTqaystE1/3HrrrRQUFAAwduxYJk+eTCgUsm1/pKWlAdDR0cH58+dJ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\niIhYFAoiImL5f8wU3otJTxQbAAAAAElFTkSuQmCC\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x11059e0d0>"
        ]
       }
      ],
      "prompt_number": 13
     },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "opt = ProjectedGradient(maxIter=50, maxStep=0.3,debug=False, maxIterLS=20, tolCG=1e-5, maxIterCG=1000)\n",
-      "opt.lower = -0.4\n",
-      "opt.upper = 0.9\n",
-      "inv = inverse.Inversion(prob,reg,opt,beta0=1e-4)\n",
-      "m0 = np.zeros_like(m_true)\n",
-      "\n",
-      "mrecB = inv.run(m0)\n",
-      "\n",
-      "\n",
-      "plt.figure(2)\n",
-      "\n",
-      "plt.plot(M.vectorCCx, m_true, 'b-')\n",
-      "plt.plot(M.vectorCCx, mrecB, 'r-')\n",
-      "\n",
-      "plt.figure(3)\n",
-      "\n",
-      "plt.plot(M.vectorCCx, m_true, 'b-')\n",
-      "plt.plot(M.vectorCCx, mrec, 'r-')"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "=============================================== Projected Gradient ===============================================\n",
-        "    #         beta         phi_d        phi_m          f            |g|       LS   itType   aSet    bSet  Comment\n",
-        "-----------------------------------------------------------------------------------------------------------------\n",
-        "     1      1.00e-04     9.56e+02     5.53e-03      9.57e+02      1.01e+04    10     SD      0       0           \n",
-        "     2      1.00e-04     5.34e+02     1.46e+03      9.56e+02      9.45e+03     0    .CG.     0       0           "
-       ]
-      },
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "\n",
-        "     3      1.00e-04     2.33e+02     5.85e+03      5.34e+02      7.06e+03     0    .CG.     0       0           "
-       ]
-      },
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "\n",
-        "     4      1.00e-04     1.35e+02     9.13e+03      2.34e+02      4.66e+03     1    .CG.     18      18          "
-       ]
-      },
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "\n",
-        "     5      1.00e-04     1.29e+02     9.13e+03      1.36e+02      8.72e+03    10     SD      18      18          \n",
-        "     6      1.00e-04     1.10e+02     1.30e+04      1.30e+02      3.33e+03     1    .CG.     59      0           "
-       ]
-      },
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "\n",
-        "     7      1.00e-04     6.32e+01     1.30e+04      1.11e+02      2.29e+04     9     SD      59      59          \n",
-        "     8      1.00e-04     6.02e+01     1.34e+04      6.45e+01      1.14e+03     4    .CG.     79      9           "
-       ]
-      },
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "\n",
-        "     9      1.00e-04     5.86e+01     1.34e+04      6.15e+01      4.44e+03    11     SD      77      77   Stop SD\n",
-        "    10      1.00e-04     4.10e+01     1.59e+04      6.00e+01      1.56e+03     2    .CG.    117      17          "
-       ]
-      },
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "\n",
-        "    11      1.00e-04     4.06e+01     1.59e+04      4.26e+01      2.11e+03    12     SD     106     106          \n",
-        "    12      1.00e-04     4.06e+01     1.59e+04      4.22e+01      8.79e+02    14     SD      13      13   Stop SD\n",
-        "    13      1.00e-04     4.06e+01     1.59e+04      4.22e+01      3.39e+02    15    .CG.    117     116          "
-       ]
-      },
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "\n",
-        "    14      1.00e-04     4.06e+01     1.59e+04      4.22e+01      3.61e+02    15     SD     116     116   Stop SD\n",
-        "    15      1.00e-04     3.03e+01     1.89e+04      4.22e+01      4.18e+01     2    .CG.    152     152          "
-       ]
-      },
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "\n",
-        "    16      1.00e-04     2.86e+01     1.89e+04      3.22e+01      4.58e+03    11     SD     128     128          \n",
-        "    17      1.00e-04     2.85e+01     1.89e+04      3.05e+01      1.39e+03    13     SD      9       9    Stop SD\n",
-        "    18      1.00e-04     2.85e+01     1.89e+04      3.04e+01      1.06e+03    16    .CG.     30      30          "
-       ]
-      },
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "\n",
-        "    19      1.00e-04     2.85e+01     1.89e+04      3.04e+01      1.06e+03    13     SD     131     131   Stop SD\n",
-        "    20      1.00e-04     2.84e+01     1.90e+04      3.04e+01      4.37e+02     8    .CG.    152      39          "
-       ]
-      },
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "\n",
-        "    21      1.00e-04     2.84e+01     1.90e+04      3.03e+01      1.22e+03    13     SD      30      30   Stop SD\n",
-        "    22      1.00e-04     2.84e+01     1.90e+04      3.03e+01      1.22e+03    16    .CG.     37      17          "
-       ]
-      },
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "\n",
-        "    23      1.00e-04     2.83e+01     1.90e+04      3.03e+01      1.22e+03    13     SD     131     131          \n",
-        "    24      1.00e-04     2.83e+01     1.90e+04      3.02e+01      2.77e+02    16     SD      34      34          \n",
-        "    25      1.00e-04     2.83e+01     1.90e+04      3.02e+01      4.10e+01    17     SD     146     146   Stop SD\n",
-        "    26      1.00e-04     2.74e+01     1.99e+04      3.02e+01      6.13e+01     4    .CG.    155     155          "
-       ]
-      },
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "\n",
-        "    27      1.00e-04     2.60e+01     1.99e+04      2.94e+01      4.10e+03    12     SD      29      29          \n",
-        "    28      1.00e-04     2.60e+01     1.99e+04      2.80e+01      7.89e+02    13     SD      12      12          \n",
-        "    29      1.00e-04     2.59e+01     1.99e+04      2.80e+01      7.15e+02    14     SD      34      34   Stop SD\n",
-        "    30      1.00e-04     2.59e+01     1.99e+04      2.79e+01      5.00e+02    15    .CG.     46      29          "
-       ]
-      },
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "\n",
-        "    31      1.00e-04     2.59e+01     1.99e+04      2.79e+01      5.00e+02    14     SD     118     118   Stop SD\n",
-        "    32      1.00e-04     1.27e+01     3.53e+04      2.79e+01      2.46e+02     0    .CG.    248     117          "
-       ]
-      },
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "\n",
-        "    33      1.00e-04     1.25e+01     3.53e+04      1.63e+01      1.88e+03    12     SD     167     167          \n",
-        "    34      1.00e-04     1.24e+01     3.53e+04      1.61e+01      1.08e+03    14     SD      12      12   Stop SD\n",
-        "    35      1.00e-04     1.24e+01     3.53e+04      1.60e+01      1.45e+02    16    .CG.    148     148          "
-       ]
-      },
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "\n",
-        "    36      1.00e-04     1.24e+01     3.53e+04      1.60e+01      1.49e+02    16     SD     156     156   Stop SD\n",
-        "    37      1.00e-04     1.24e+01     3.53e+04      1.60e+01      4.08e+01    14    .CG.    233     233          "
-       ]
-      },
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "\n",
-        "    38      1.00e-04     1.24e+01     3.53e+04      1.60e+01      7.16e+01    18     SD     176     176   Stop SD\n",
-        "    39      1.00e-04     1.24e+01     3.53e+04      1.60e+01      2.20e+01    12    .CG.    243     241          "
-       ]
-      },
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "\n",
-        "    40      1.00e-04     1.24e+01     3.53e+04      1.60e+01      1.63e+02    16     SD     185     185          \n",
-        "    41      1.00e-04     1.24e+01     3.53e+04      1.60e+01      2.89e+01    19     SD     206     206          \n",
-        "    42      1.00e-04     1.24e+01     3.53e+04      1.60e+01      2.48e+01    18     SD     221     221   Stop SD\n",
-        "    43      1.00e-04     1.23e+01     3.54e+04      1.60e+01      3.12e+01     6    .CG.    243     242          "
-       ]
-      },
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "\n",
-        "    44      1.00e-04     1.23e+01     3.54e+04      1.59e+01      1.25e+03    13     SD      84      84          \n",
-        "    45      1.00e-04     1.22e+01     3.54e+04      1.59e+01      1.16e+03    13     SD      20      20          \n",
-        "    46      1.00e-04     1.22e+01     3.54e+04      1.58e+01      3.53e+02    15     SD      26      26          \n",
-        "    47      1.00e-04     1.22e+01     3.54e+04      1.58e+01      2.58e+02    15     SD      43      43   Stop SD\n",
-        "    48      1.00e-04     1.22e+01     3.54e+04      1.58e+01      1.18e+02    12    .CG.    211     100          "
-       ]
-      },
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "\n",
-        "    49      1.00e-04     1.22e+01     3.54e+04      1.58e+01      1.04e+02    16     SD     187     187          \n",
-        "    50      1.00e-04     1.22e+01     3.54e+04      1.58e+01      7.87e+01    17     SD     137     137   Stop SD\n",
-        "------------------------- STOP! -------------------------\n",
-        "1 : |fc-fOld| = 1.6468e-04 <= tolF*(1+|f0|) = 9.5809e+01\n",
-        "1 : |xc-x_last| = 2.6492e-05 <= tolX*(1+|x0|) = 1.0000e-01\n",
-        "0 : |g|       = 1.6964e+01 <= tolG          = 1.0000e-01\n",
-        "0 : |g|       = 7.2505e+01 <= 1e3*eps       = 1.0000e-02\n",
-        "1 : maxIter   =      50    <= iter          =     50\n",
-        "0 : probSize  =    1000   <= bindingSet      =    120\n",
-        "------------------------- DONE! -------------------------\n"
-       ]
-      },
-      {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 17,
-       "text": [
-        "[<matplotlib.lines.Line2D at 0x10f7fd690>]"
-       ]
-      },
-      {
-       "metadata": {},
-       "output_type": "display_data",
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-       "text": [
-        "<matplotlib.figure.Figure at 0x10fe0b110>"
-       ]
-      },
-      {
-       "metadata": {},
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-       "text": [
-        "<matplotlib.figure.Figure at 0x10fee6dd0>"
-       ]
-      }
-     ],
-     "prompt_number": 17
-    },
     {
      "cell_type": "code",
      "collapsed": false,