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2 changes: 0 additions & 2 deletions local_optimization/Modelling/handle_disable_ex.ipynb
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Expand Up @@ -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",
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2 changes: 0 additions & 2 deletions local_optimization/Modelling/production_planning.ipynb
Original file line number Diff line number Diff line change
Expand Up @@ -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",
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