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@HajimeKawahara
Created October 11, 2023 08:19
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variance of the round-off error
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"def q(x, N=10**5, a=1.0):\n",
" \"\"\"step size\n",
"\n",
" Args:\n",
" x (int): bit number\n",
" N (int, optional): full well. Defaults to 10**5.\n",
" a (float): factor for digitization ~ 1.0\n",
" \"\"\"\n",
" return a*N*2**-x\n"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"def sigma2_roundoff(x, N=10**5, a=1.0):\n",
" return q(x,N,a)**2/12"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(49.67053731282552, 3.104408582051595, 0.1940255363782247)"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sigma2_roundoff(12), sigma2_roundoff(14), sigma2_roundoff(16)"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(24.4140625, 6.103515625, 1.52587890625)"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"q(12), q(14), q(16)"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(77.61021455128987, 4.850638409455617, 0.30316490059097606)"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"af=1/0.8\n",
"sigma2_roundoff(12,a=af), sigma2_roundoff(14,a=af), sigma2_roundoff(16,a=af)"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(30.517578125, 7.62939453125, 1.9073486328125)"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"q(12,a=af), q(14,a=af), q(16,a=af)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "base",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.9"
},
"orig_nbformat": 4
},
"nbformat": 4,
"nbformat_minor": 2
}
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