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import numpy as np | |
from scipy.optimize import bisect | |
from numba import f8, jit, njit | |
def min_me(x): | |
return x**4 - 2*x**2 - x - 3. | |
num_min_me = jit(min_me) |
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{ | |
"metadata": { | |
"name": "", | |
"signature": "sha256:fee0863747d7685991108f84eaecd97166e8946b885c72b24a3040180a0142ae" | |
}, | |
"nbformat": 3, | |
"nbformat_minor": 0, | |
"worksheets": [ | |
{ | |
"cells": [ |
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import numpy as np | |
from numba import jit | |
def f_original(x, y): | |
n = x.size | |
m = y.size | |
z = np.empty((n, m)) |
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{ | |
"metadata": { | |
"celltoolbar": "Slideshow", | |
"language": "Julia", | |
"name": "", | |
"signature": "sha256:48c93e55dd13e85a8b1e797778a71d47dfe8f59cbe53a02778db64f6eacaad7a" | |
}, | |
"nbformat": 3, | |
"nbformat_minor": 0, | |
"worksheets": [ |
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n = 10 | |
srand(42) | |
ad = randn(n, n) | |
bd = randn(n, n) | |
ac = randn(n, n) + randn(n, n)im | |
bc = randn(n, n) + randn(n, n)im | |
# This is the "not sorted" schur |
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// Use Gists to store code you would like to remember later on | |
console.log(window); // log the "window" object to the console |
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{ | |
"cells": [ | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"We begin by importing some packages called by the code that we will be using in this notebook." | |
] | |
}, | |
{ |
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# Command for clearing notifications | |
atom.commands.add 'atom-workspace', 'custom-commands:dismiss-notifications', -> | |
atom.notifications.getNotifications().forEach (notification) -> | |
notification.dismiss() | |
atom.notifications.clear() | |
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