Class Announcements

Mathletes,

Welcome to MA381 – Nonlinear Optimization! I hope you had a great summer and are looking forward to getting back to work this semester. I am looking forward to working with each of you this semester.

Do the following before class on day 1:

1. Visit the and bookmark the course website: https://sites.google.com/view/ma381/home

2. Download the course admin documents – there should be a calendar, course guide and CD memo here: https://sites.google.com/view/ma381/admin

3. If you do not have Anaconda Python installed, visit here https://www.anaconda.com/products/individual#download-section, download and install Python 3.9.

4. The three books needed for this course are:

(1) Nonlinear Optimization, William Fox (https://www.amazon.com/Nonlinear-Optimization-Applications-William-Fox/dp/0367561115/ref=sr_1_2?crid=126XPIW3WE65K&keywords=nonlinear+optimization+fox&qid=1659628280&sprefix=nonlinear+optimization+fox%2Caps%2C51&sr=8-2)

(2) Stewart Calculus Text from plebe year

(3) Linear Algebra text from yearling year.

5. Sign up for a cocalc account (www.cocalc.com) if you do not have one already and email me your email address that you used - I will need to bring you into the course before paying the $14 fee.

Use this link to view the student guide to cocalc: https://doc.cocalc.com/teaching-students.html

6. Lesson prep for this course is as follows (2 hours per night):

1) Read the section(s) in the book(s).

2) Read the Jupyter Notebook.

3) Watch the videos.

4) Do the suggested problems.

# -*- coding: utf-8 -*-

"""

@author: grover.laporte

"""

import sys

modulefolder = 'C:\\Users\\grover.laporte\\OneDrive - West Point\\Documents\\PythonModules'

sys.path.insert(0,modulefolder)