Analyze Running Time for Primpoly.¶

This notebook is called PrimpolyRunningTimeAnalysis.ipynb¶

Run it using

jupyter lab PrimpolyRunningTimeAnalysis.ipynb

When you get done, please create an HTML version of this notebook for viewing on the web by running

jupyter nbconvert PrimpolyRunningTimeAnalysis.ipynb --to html

I urge you to do Kernel->Restart Kernel and Clear All Outputs , followed by Kernel->Restart Kernel and Run All Cells

  • LEGAL
  • Primpoly Version 16.3 - A Program for Computing Primitive Polynomials.
  • Copyright (C) 1999-2024 by Sean Erik O'Connor.  All Rights Reserved.
  • This program is free software: you can redistribute it and/or modify
  • it under the terms of the GNU General Public License as published by
  • the Free Software Foundation, either version 3 of the License, or
  • (at your option) any later version.
  • This program is distributed in the hope that it will be useful,
  • but WITHOUT ANY WARRANTY; without even the implied warranty of
  • MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
  • GNU General Public License for more details.
  • You should have received a copy of the GNU General Public License
  • along with this program.  If not, see <http://www.gnu.org/licenses/>.
  • The author's address is seanerikoconnor!AT!gmail!DOT!com
  • with the !DOT! replaced by . and the !AT! replaced by @

Modules, Libraries and Settings¶

Settings and magical thingies.¶

Use the Jupyterlab light theme so you can see your plot labels and titles, which are default black.

Reload all modules (except those excluded by %aimport) every time before executing the Python code typed.

In [1]:
%load_ext autoreload
%autoreload 2

Display plot output in the cell below.

In [2]:
%matplotlib inline

Matplotlib is building the font cache; this may take a moment.

Make the plots larger.

In [3]:
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))

System modules¶

In [4]:
import numpy as np               # NumPy math matrix library.
import matplotlib.pyplot as plt  # MatPlot library plotting
from time import time, ctime     # Times and time arithmetic.

Import the Primpoly running time Python module.¶

In [5]:
from PrimpolyRunningTimeAnalysis import update_running_times_and_plot_all

Plot the running time.¶

How does the Primpoly time vary with polynomial degree?¶

In [6]:
update_running_times_and_plot_all()

Running Python Version 3.12.3

Primpoly p = 2 n = 2
	running time = 0.4
Primpoly p = 2 n = 10
	running time = 0.37
Primpoly p = 2 n = 30
	running time = 0.37
Primpoly p = 2 n = 50
	running time = 0.39
Primpoly p = 2 n = 70
	running time = 0.41
Primpoly p = 2 n = 90
	running time = 0.46
Primpoly p = 2 n = 100
	running time = 1.11
Primpoly p = 2 n = 120
	running time = 1.17
Primpoly p = 2 n = 140
	running time = 1.9
Primpoly p = 2 n = 145
	running time = 0.96
Primpoly p = 2 n = 150
	running time = 1.61
Primpoly p = 2 n = 160
	running time = 0.88
Primpoly p = 2 n = 180
	running time = 4.89
Primpoly p = 2 n = 200
	running time = 1.57
Primpoly p = 2 n = 202
	running time = 3.73
Primpoly p = 2 n = 210
	running time = 12.01
Primpoly p = 2 n = 300
	running time = 9.84
Primpoly p = 2 n = 400
	running time = 11.27
Primpoly p = 2 n = 500
	running time = 93.05
Primpoly p = 2 n = 550
	running time = 139.01
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