DVR-jl/example.ipynb

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{
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{
"cell_type": "code",
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"metadata": {},
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"source": [
"# prerequisites: KrylovKit, TensorOperations, LinearAlgebra, CUDA#tb/cutensor (for GPU mode)\n",
"\n",
"include(\"CPU.jl\") # using CPU mode\n",
"T = Float32\n",
"\n",
"V_test(r2::T)::T =\n",
" -4 * exp(-r2 / 4)\n",
"\n",
"d = 3\n",
"n = 3\n",
"N = 6\n",
"L::T = 12.0\n",
"mu::T = 0.5\n",
"n_imag = 1\n",
"\n",
"H = HOperator{T}(V_test, 3, 3, N, L, 0.5f0, 1)\n",
"@time evals, evecs, info = eig(H, 5)\n",
"print(info.numops, \" operations : \")\n",
"println(evals)"
]
}
],
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