Merge pull request #30 from chasilvester/edits

remove reference to pdf version

Author: shuanghuabai

local_optimization/Modelling/handle_disable_ex.ipynb

@@ -21,8 +21,6 @@
     "\n",
     "This notebook makes use of the `latex_envs` Jupyter extension for equations and references.  If the LaTeX is not rendering properly in your local installation of Jupyter , it may be because you have not installed this extension.  Details at https://jupyter-contrib-nbextensions.readthedocs.io/en/latest/nbextensions/latex_envs/README.html\n",
     "\n",
-    "The notebook is also not rendered well by GitHub so if you are reading it from there, you may prefer the [pdf version instead](./static/portfolio_optimization_qcqp.pdf).\n",
-    "\n",
     "## Calibration problem\n",
     "\n",
     "Consider a simple calibration problem where we want to fit the 5 parameters of a model $f$ to some given data points. The model is of the form:\n",

local_optimization/Modelling/production_planning.ipynb

@@ -21,8 +21,6 @@
     "\n",
     "This notebook makes use of the `latex_envs` Jupyter extension for equations and references.  If the LaTeX is not rendering properly in your local installation of Jupyter , it may be because you have not installed this extension.  Details at https://jupyter-contrib-nbextensions.readthedocs.io/en/latest/nbextensions/latex_envs/README.html\n",
     "\n",
-    "The notebook is also not rendered well by GitHub so if you are reading it from there, you may prefer the [pdf version instead](./static/portfolio_optimization_qcqp.pdf).\n",
-    "\n",
     "## Problem description\n",
     "We consider a situation where a factory can manufacture two different chemicals $A_1$ and $A_2$. The goal for the factory is to determine the quantities $x_1$ and $x_2$ of each chemical to maximize profit under the following circumstances:\n",
     "- a unit of $A_1$ weighs 40kg and a unit of $A_2$ weighs 80kg;\n",