62 lines
1.2 KiB
Plaintext
62 lines
1.2 KiB
Plaintext
{
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"cells": [
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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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"using Plots\n",
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"include(\"p_space.jl\")"
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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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"vertices = [0, 1 - 0.5im, 2, 6]\n",
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"subdivisions = [64, 64, 64]\n",
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"p, w = get_mesh(vertices, subdivisions)\n",
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"\n",
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"scatter(real.(p), imag.(p))"
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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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"# ComplexScaling-FV: Eq. (54)\n",
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"V_pq(p, q) = -10 * g1(1, p, q)\n",
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"\n",
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"H = get_H_matrix(V_pq, p, w)\n",
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"evals = eigen(H).values\n",
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"\n",
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"E_target = 0.258 - 0.164im\n",
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"E = evals[argmin(norm.(evals .- E_target))]\n",
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"\n",
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"print(\"E = $E\")\n",
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"scatter(real.(evals), imag.(evals), xlim = (0,1))"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Julia 1.9.0",
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"language": "julia",
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"name": "julia-1.9"
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},
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"language_info": {
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"file_extension": ".jl",
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"mimetype": "application/julia",
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"name": "julia",
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"version": "1.9.0"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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