163 lines
46 KiB
Plaintext
Executable File
163 lines
46 KiB
Plaintext
Executable File
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"outputs": [],
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"source": [
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"import numpy as np\n",
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"import matplotlib.pyplot as plt"
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],
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"metadata": {
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"collapsed": false,
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"pycharm": {
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"name": "#%%\n"
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}
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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": 2,
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"outputs": [],
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"source": [
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"data1 = np.loadtxt(\"../data/out/1Euler_msd_harmonic_konv.dat\")\n",
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"data2 = np.loadtxt(\"../data/out/2Heun_msd_harmonic_konv.dat\")\n",
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"data3 = np.loadtxt(\"../data/out/3Exact_msd_harmonic_konv.dat\")\n",
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"data4 = np.loadtxt(\"../data/out/4BDAS_msd_harmonic_konv.dat\")\n",
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"data5 = np.loadtxt(\"../data/out/5MBD_msd_harmonic_konv.dat\")"
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],
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"metadata": {
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"collapsed": false,
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"pycharm": {
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"name": "#%%\n"
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}
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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": 3,
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"outputs": [
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{
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"data": {
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"text/plain": "<Figure size 432x288 with 1 Axes>",
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"image/png": 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\n"
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"plt.loglog(data1[:,0], data1[:,1],label=\"Euler\")\n",
|
|
"plt.loglog(data2[:,0], data2[:,1],label=\"Heun\")\n",
|
|
"plt.loglog(data3[:,0], data3[:,1],label=\"Exact\")\n",
|
|
"plt.loglog(data4[:,0], data4[:,1],label=\"BDAS\")\n",
|
|
"plt.loglog(data5[:,0], data5[:,1],label=\"MBD\")\n",
|
|
"plt.title(\"Mean square displacment\")\n",
|
|
"plt.xlabel(\"Time-Step\")\n",
|
|
"plt.ylabel(\"Error\")\n",
|
|
"plt.legend()\n",
|
|
"del data1,data2,data3,data4,data5"
|
|
],
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"pycharm": {
|
|
"name": "#%%\n"
|
|
}
|
|
}
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 4,
|
|
"outputs": [],
|
|
"source": [
|
|
"data1 = np.loadtxt(\"../data/out/1Euler_oaf_harmonic_konv.dat\")\n",
|
|
"data2 = np.loadtxt(\"../data/out/2Heun_oaf_harmonic_konv.dat\")\n",
|
|
"#data3 = np.loadtxt(\"../data/3Exact_oaf_harmonic.dat\")\n",
|
|
"#data4 = np.loadtxt(\"../data/4BDAS_oaf_harmonic.dat\")\n",
|
|
"data5 = np.loadtxt(\"../data/out/5MBD_oaf_harmonic_konv.dat\")"
|
|
],
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"pycharm": {
|
|
"name": "#%%\n"
|
|
}
|
|
}
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 5,
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": "Text(0, 0.5, 'Error')"
|
|
},
|
|
"execution_count": 5,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": "<Figure size 432x288 with 1 Axes>",
|
|
"image/png": 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\n"
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"plt.loglog(data1[:,0], data1[:,1],label=\"Euler\")\n",
|
|
"plt.loglog(data2[:,0], data2[:,1],label=\"Heun\")\n",
|
|
"#plt.loglog(data3[:,0], data3[:,1])\n",
|
|
"#plt.loglog(data4[:,0], data4[:,1])\n",
|
|
"plt.loglog(data5[:,0], data5[:,1],label=\"MBD\")\n",
|
|
"plt.legend()\n",
|
|
"plt.title(\"Oaf\")\n",
|
|
"plt.xlabel(\"Time-Step\")\n",
|
|
"plt.ylabel(\"Error\")"
|
|
],
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"pycharm": {
|
|
"name": "#%%\n"
|
|
}
|
|
}
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 5,
|
|
"outputs": [],
|
|
"source": [],
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"pycharm": {
|
|
"name": "#%%\n"
|
|
}
|
|
}
|
|
}
|
|
],
|
|
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