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DOC: show the newer notebooks in ReadTheDocs
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examples/functional_constraints_class.ipynb

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"cell_type": "markdown",
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"metadata": {},
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"### Unconstrained sensor placaement:\n"
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"### Unconstrained sensor placement:\n"
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]
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"source": [
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"### Functional constaints:\n",
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"\n",
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"Suppose the user wants to constrain a circular aea centered at x = 20, y = 30 with a radius (r = 5)"
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"Suppose the user wants to constrain a circular aea centered at $x = 20$, $y = 30$ with a radius ($r = 5$)"
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### We want to constrain the region beyond x = 10 and x = 20 and y = 0 and y = 64"
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"### We want to constrain the region beyond $x = 10$ and $x = 20$ and $y = 0$ and $y = 64$"
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Now let us consider an example where the user inputs the equation that they are considering as a constraint in a string of the form (x-30)^2 + (y-40)^2 < 25"
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"### Now let us consider an example where the user inputs the equation that they are considering as a constraint in a string of the form $(x-30)^2 + (y-40)^2 < 25$"
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{
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],
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"metadata": {
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"kernelspec": {
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"display_name": "base",
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"display_name": "venv",
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"language": "python",
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"name": "python3"
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.7"
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"version": "3.12.3"
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}
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"nbformat": 4,

examples/index.rst

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vandermonde
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spatially_constrained_qr
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functional_constraints_class
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nuclear_application
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simulation_constrained_sensing

examples/simulation_constrained_sensing.ipynb

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"source": [
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"### Functional constraints:\n",
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"\n",
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"Suppose the user wants to constrain a circular area centered at x = 0.025 m, y = 0 m with a radius (r = 0.02 m).\n",
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"Suppose the user wants to constrain a circular area centered at $x = 0.025$ m, $y = 0$ m with a radius ($r = 0.02$ m).\n",
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"The user can do see by initiating an instance of the class Circle which has functionalities such as :\n",
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"- Plotting\n",
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"- Plotting all possible sensor locations\n",
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"source": [
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"### Trying out a custom parabolic constraint: ( Now what if the user has provided a python file with the required constraints)\n",
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"\n",
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"##### Here the parabola is centered at (h,k) = (0.025,0.00)\n",
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"##### The equation used is $y = a(x-h)^2 -k$ where a = 100\n",
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"##### A line drawn at y = 0.2 closes the parabola and the constrained region is bound by the parabola and the line."
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"##### Here the parabola is centered at $(h,k) = (0.025,0.00)$\n",
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"##### The equation used is $y = a(x-h)^2 -k$ where $a = 100$\n",
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"##### A line drawn at $y = 0.2$ closes the parabola and the constrained region is bound by the parabola and the line."
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{
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"metadata": {},
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"source": [
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"For example the equation of a parabola is :\n",
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"a(x-h)^2 - (y- k)"
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"$a(x-h)^2 - (y- k)$"
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],
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"metadata": {
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"kernelspec": {
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"display_name": "base",
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"display_name": "venv",
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"language": "python",
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"name": "python3"
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.7"
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"version": "3.12.3"
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},
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"orig_nbformat": 4
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},

examples/spatially_constrained_qr.ipynb

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