Embedded Files
The TEE is posted here: https://drive.google.com/open?id=1ADwbd-9pi686YP4HWuQJc6Hpuh4aNOdl
Turn in your solution by 12 May 0900 using any of the following methods: (1) Teams TEE folder or (2) email .pdf to me.
B Hour Teams Link: Join Microsoft Teams Meeting
C Hour Teams Link: Join Microsoft Teams Meeting
Youtube Channel for our videos: https://www.youtube.com/playlist?list=PLPKGSQgd-s0HurM7Rhj7fWtN2vS7xhMi_
Matrix for barber shop problem (2 barbers):
A = matrix(c(-10,6,0,0,0,0,0,0,0,
10,-16,12,0,0,0,0,0,0,
0,10,-22,12,0,0,0,0,0,
0,0,10,-22,12,0,0,0,0,
0,0,0,10,-22,12,0,0,0,
0,0,0,0,10,-22,12,0,0,
0,0,0,0,0,10,-22,12,0,
0,0,0,0,0,0,10,-22,12,
0,0,0,0,0,0,0,10,-12),nrow=9,byrow=T);print(A)
Class Schedule for Remote Classes: https://drive.google.com/open?id=1Oi_2VrTY0ezVD4XlLtmUcV5WbKa_cIxX
To access the textbook, go to: https://bookshelf.vitalsource.com/#/user/signin
Go to bookshelf.vitalsource.com.
Click "Create a vitalsource account"
Create an account using your @westpoint.edu email address (it won't work with your personal email address).
A verification email will be sent you. Click the verification link in your email (you may have to tell microsoft outlook that you trust the sender in order for the link to work).
Log in and use the search bar to search for the title of the book you want to read. Click the picture of the book (see below for our text), and click borrow.
If you are trying to download software, here is a quick how-to for you (Mathematica, O365, Microsoft Whiteboard, R and R Studio, VPN into USMA system, and Matlab):
https://drive.google.com/open?id=14078wblsJDny4208Yn3pqcA7LRZabxBJ
Lesson 21 can be viewed here: https://youtu.be/Zkiz_PPkDgM Watch the video and do the homework problems.
Course Project 1 is posted here: https://drive.google.com/open?id=1A__K5XaYpfQwtpHvJidPYsEdCSJwt1cY
Lesson 14:
f = function(x){c((-lambda*C*x[2]-lambda*D*x[1]*x[2])*(x[1]>0)+0*(x[1]<0),
(-C*x[1]-D*x[1]*x[2])*(x[2]>0))+0*(x[2]<0)}
Another location for the R files:
obj=function(x){
return((-16*x[2]^2+(x[3]-32)*x[1]*x[2]+1/2*(x[3]-32)*x[1]^2)*(-1)) # Problem 1b
}
x = c(5.49,1.33,42.67) #solution for part a
Functions for lesson 5:
Blue = function(x){(0.05*x[1]*(1-x[1]/150000)-1/100000000*x[1]*x[2])}
Fin = function(x){(0.08*x[2]*(1-x[2]/400000)-1/100000000*x[1]*x[2])}
Rev = function(x){(12*(0.05*x[1]*(1-x[1]/150000)-1/100000000*x[1]*x[2]) +
6*(0.08*x[2]*(1-x[2]/400000)-1/100000000*x[1]*x[2]))*(-1)}
install.packages("NlcOptim") - nonlinear optimization package
install.packages("MASS") - needed to run the package above
Mathletes,
Welcome to MA391 Mathematical Modeling! Please take a few minutes to read the email, visit the course website, and download the material that you need for the course.
1. Course Website is located here: https://sites.google.com/view/mathematical-modeling/home
2. Get the course syllabus and calendar from there.
3. If you do not have Anaconda and R studio on your computer, you will need to download them and install – all of the instructions are located here on the admin page of our website.
https://sites.google.com/view/mathematical-modeling/admin
4. This course will use R and I expect you to invest in yourself and learn that programming language. We will be using this language and its data structures to assist us in solving problems and creating our own tools.
5. In addition to the text book reading, I will also provide you with a Jupyter Notebook (thus, the reason for downloading Anaconda) for most lessons that will help prepare you for the day’s programming requirement.
6. Course Notebooks / Problem sets: I will grade your organization skills and problems that you worked for each lesson. Your notebooks will be turned in on WPR days and are graded based on the effort that you have demonstrated in your notebook for this class. In order to be good at modeling/solving problems, you have to practice. Consider me the customer who has hired you as a consultant to solve the problems listed on the calendar / Jupyter Notebooks. Answer them accordingly – some we will solve in class and others you will be on your own.
7. You should have the Meerschaert – Mathematical Modeling text for this course.
8. Lesson 1’s assignment is to accomplish these tasks and have your computer ready (Jupyter Notebook with R capability) for tomorrow where I will pull up some notebooks for us to use.
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