Last active
September 13, 2019 21:51
-
-
Save steven-tey/b397c83c6997fe24f8b5a2769e5dad72 to your computer and use it in GitHub Desktop.
CS146 Assignment 1 Code
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
{ | |
"cells": [ | |
{ | |
"cell_type": "code", | |
"execution_count": 139, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"0.49999999999999983\n" | |
] | |
} | |
], | |
"source": [ | |
"import scipy.integrate as integrate\n", | |
"from scipy.integrate import quad\n", | |
"import math as m\n", | |
"a = 1\n", | |
"b = 0\n", | |
"result = integrate.quad(lambda x: (((1/m.sqrt(2*m.pi*a))*m.e**(-((x-b)**2)/(2*a**2)))), 0, m.inf)[0]\n", | |
"print(result)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 161, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"0.50059\n" | |
] | |
} | |
], | |
"source": [ | |
"import random\n", | |
"import math as m\n", | |
"import numpy as np\n", | |
"\n", | |
"def f(x): #defining the f(x) function\n", | |
" return (x**3+2*x+1)\n", | |
"\n", | |
"l = [] #creating a list to store the values of random numbers from a normal distribution\n", | |
"\n", | |
"for j in range (100000): #creating 100,000 random numbers from a normal distribution\n", | |
" l.append(np.random.normal(0,1))\n", | |
" \n", | |
"counter = 0 #creating a counter to count how many times the value of f(x) is larger than 1\n", | |
"\n", | |
"for i in range (len(l)): #for loop to check through the values list l, when put into f(x), if the output is >1\n", | |
" if f(l[i]) > 1:\n", | |
" counter+=1\n", | |
" else:\n", | |
" continue\n", | |
"\n", | |
"print(counter/100000)" | |
] | |
} | |
], | |
"metadata": { | |
"kernelspec": { | |
"display_name": "Python 3", | |
"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": "3.7.3" | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 2 | |
} |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment