diff --git a/notebooks/DCinverse.ipynb b/notebooks/DCinverse.ipynb
new file mode 100644
index 00000000..2cf8b20b
--- /dev/null
+++ b/notebooks/DCinverse.ipynb
@@ -0,0 +1,185 @@
+{
+ "metadata": {
+  "name": ""
+ },
+ "nbformat": 3,
+ "nbformat_minor": 0,
+ "worksheets": [
+  {
+   "cells": [
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "from SimPEG import *\n",
+      "import simpegDC as DC\n",
+      "%pylab inline"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "output_type": "stream",
+       "stream": "stdout",
+       "text": [
+        "Populating the interactive namespace from numpy and matplotlib\n"
+       ]
+      }
+     ],
+     "prompt_number": 1
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "cs = 25.\n",
+      "hx = [(cs,7, -1.3),(cs,21),(cs,7, 1.3)]\n",
+      "hy = [(cs,7, -1.3),(cs,21),(cs,7, 1.3)]\n",
+      "hz = [(cs,7, -1.3),(cs,20)]"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 2
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "mesh = Mesh.TensorMesh([hx, hy, hz], 'CCN')"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 3
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "sighalf = 1e-2\n",
+      "sigma = np.ones(mesh.nC)*sighalf\n",
+      "p0 = np.r_[-50., 50., -50.]\n",
+      "p1 = np.r_[ 50.,-50., -150.]\n",
+      "blk_ind = Utils.ModelBuilder.getIndecesBlock(p0, p1, mesh.gridCC)\n",
+      "sigma[blk_ind] = 1e-3"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 4
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "nElecs = 31 \n",
+      "x_temp = np.linspace(-250, 250, nElecs)\n",
+      "aSpacing = x_temp[1]-x_temp[0]\n",
+      "y_temp = 0.\n",
+      "xyz = Utils.ndgrid(x_temp, np.r_[y_temp], np.r_[0.])"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 10
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "txList = DC.Examples.WennerArray.getTxList(nElecs,aSpacing)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 12
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "fig, ax = plt.subplots(1,1, figsize = (6.5,5))\n",
+      "indz = 23\n",
+      "dat = mesh.plotSlice(sigma, grid=True, ax = ax, ind=indz)\n",
+      "ax.set_xlim(-300, 300)\n",
+      "ax.set_ylim(-300, 300)\n",
+      "cb = plt.colorbar(dat[0])\n",
+      "ax.set_title('Depth at '+str(mesh.vectorCCz[indz])+' m')\n",
+      "ax.plot(xyz[:,0], xyz[:,1], 'w.', ms = 3)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 8,
+       "text": [
+        "[<matplotlib.lines.Line2D at 0xab90c50>]"
+       ]
+      },
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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t3DkcwGMrOYH0Vo8J5/nnn0dxcTFuvPFGrFixAs888wy0Wi3a29thMpkkTTgd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\nAAAAAElFTkSuQmCC\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0xa5a5550>"
+       ]
+      }
+     ],
+     "prompt_number": 8
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "survey = DC.SurveyDC(txList)\n",
+      "problem = DC.ProblemDC(mesh)\n",
+      "problem.pair(survey)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 13
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "datasyn = survey.dpred(sigma)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "ename": "KeyboardInterrupt",
+       "evalue": "",
+       "output_type": "pyerr",
+       "traceback": [
+        "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[1;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
+        "\u001b[1;32m<ipython-input-14-b30b5a6cd927>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mdatasyn\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0msurvey\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdpred\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0msigma\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
+        "\u001b[1;32mC:\\Users\\SEOGI\\simpeg\\SimPEG\\Utils\\CounterUtils.pyc\u001b[0m in \u001b[0;36mwrapper\u001b[1;34m(self, *args, **kwargs)\u001b[0m\n\u001b[0;32m     81\u001b[0m         \u001b[0mcounter\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mgetattr\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;34m'counter'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mNone\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     82\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mtype\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcounter\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mis\u001b[0m \u001b[0mCounter\u001b[0m\u001b[1;33m:\u001b[0m \u001b[0mcounter\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcount\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m__class__\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m__name__\u001b[0m\u001b[1;33m+\u001b[0m\u001b[1;34m'.'\u001b[0m\u001b[1;33m+\u001b[0m\u001b[0mf\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m__name__\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 83\u001b[1;33m         \u001b[0mout\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     84\u001b[0m         \u001b[1;32mreturn\u001b[0m \u001b[0mout\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     85\u001b[0m     \u001b[1;32mreturn\u001b[0m \u001b[0mwrapper\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+        "\u001b[1;32mC:\\Users\\SEOGI\\simpeg\\SimPEG\\Utils\\codeutils.pyc\u001b[0m in \u001b[0;36mrequiresVarWrapper\u001b[1;34m(self, *args, **kwargs)\u001b[0m\n\u001b[0;32m    222\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[0mgetattr\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mvar\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mNone\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mis\u001b[0m \u001b[0mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    223\u001b[0m                 \u001b[1;32mraise\u001b[0m \u001b[0mException\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mextra\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 224\u001b[1;33m             \u001b[1;32mreturn\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    225\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    226\u001b[0m         \u001b[0mdoc\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mrequiresVarWrapper\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m__doc__\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+        "\u001b[1;32mC:\\Users\\SEOGI\\simpeg\\SimPEG\\Survey.pyc\u001b[0m in \u001b[0;36mdpred\u001b[1;34m(self, m, u)\u001b[0m\n\u001b[0;32m    305\u001b[0m             \u001b[0mWhere\u001b[0m \u001b[0mP\u001b[0m \u001b[1;32mis\u001b[0m \u001b[0ma\u001b[0m \u001b[0mprojection\u001b[0m \u001b[0mof\u001b[0m \u001b[0mthe\u001b[0m \u001b[0mfields\u001b[0m \u001b[0monto\u001b[0m \u001b[0mthe\u001b[0m \u001b[0mdata\u001b[0m \u001b[0mspace\u001b[0m\u001b[1;33m.\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    306\u001b[0m         \"\"\"\n\u001b[1;32m--> 307\u001b[1;33m         \u001b[1;32mif\u001b[0m \u001b[0mu\u001b[0m \u001b[1;32mis\u001b[0m \u001b[0mNone\u001b[0m\u001b[1;33m:\u001b[0m \u001b[0mu\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mprob\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfields\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mm\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    308\u001b[0m         \u001b[1;32mreturn\u001b[0m \u001b[0mUtils\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmkvc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mprojectFields\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mu\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    309\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
+        "\u001b[1;32mC:\\Users\\SEOGI\\Documents\\simpegdc\\simpegDC\\BaseDC.pyc\u001b[0m in \u001b[0;36mfields\u001b[1;34m(self, m)\u001b[0m\n\u001b[0;32m    145\u001b[0m         \u001b[0mAinv\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mSolver\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mA\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    146\u001b[0m         \u001b[0mQ\u001b[0m    \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msurvey\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mgetRhs\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmesh\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 147\u001b[1;33m         \u001b[0mPhi\u001b[0m  \u001b[1;33m=\u001b[0m \u001b[0mAinv\u001b[0m \u001b[1;33m*\u001b[0m \u001b[0mQ\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    148\u001b[0m         \u001b[1;32mreturn\u001b[0m \u001b[0mPhi\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    149\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
+        "\u001b[1;32mC:\\Users\\SEOGI\\simpeg\\SimPEG\\Utils\\SolverUtils.pyc\u001b[0m in \u001b[0;36m__mul__\u001b[1;34m(self, b)\u001b[0m\n\u001b[0;32m     48\u001b[0m                     \u001b[0mX\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mi\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msolver\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msolve\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mb\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mi\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     49\u001b[0m                 \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 50\u001b[1;33m                     \u001b[0mX\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mi\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mfun\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mA\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mb\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mi\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     51\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     52\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mcheckAccuracy\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+        "\u001b[1;31mKeyboardInterrupt\u001b[0m: "
+       ]
+      }
+     ],
+     "prompt_number": 14
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [],
+     "language": "python",
+     "metadata": {},
+     "outputs": []
+    }
+   ],
+   "metadata": {}
+  }
+ ]
+}
\ No newline at end of file