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06-pde-constrained-optimisation.ipynb

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"metadata": {},
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"outputs": [],
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"source": [
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"import os\n",
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"if not os.path.isfile(\"stokes-control.msh\"):\n",
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" # If the mesh is not available locally, we download it.\n",
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" !curl -O https://raw.githubusercontent.com/firedrakeproject/notebooks/refs/heads/main/stokes-control.msh\n",
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"mesh = Mesh(\"stokes-control.msh\")"
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]
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},

11-extract-adjoint-solutions.ipynb

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"axs[0, 0].set_title('Forward solution');\n",
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"axs[0, 1].set_title('Adjoint solution');"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"type(solve_blocks[6].get_dependencies()[0].adj_value)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"[type(sol.get_dependencies()[0].adj_value) for sol in solve_blocks]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"len(forward_solutions)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"get_working_tape().visualise(\"foo.pdf\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"adjoint_solution"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"Jhat = ReducedFunctional(J, Control(nu))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"Jhat.derivative()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"taylor_test?"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"taylor_test(Jhat, nu, Function(nu).assign(1.0))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {

12-HPC_demo.ipynb

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{
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"cell_type": "code",
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"execution_count": null,
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"id": "9aa45217",
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"id": "6aaadb71",
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"metadata": {},
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"outputs": [],
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"source": [

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