Linear Optimization

MATH 326 

MWF,  02:30 pm - 03:20 am,  TLC 222

Instructor:

Lyudmyla Barannyk
317 Brink Hall
tel:  (208) 885-6719
fax: (208) 885-5843
barannyk@uidaho.edu
office hours:
  MW 1:30 - 2:20 pm,  Th 4:30 - 5:20 pm or by appointment


Here is  the class e-mail list: math326-sp13@uidaho.edu. You can make an alias for the e-mail of your section. Each e-mail lists contains e-mails of all students enrolled in the class and my e-mail.  You can use the e-mail list to ask me questions that might be of interest to others in the class. You can also email me at barannyk@uidaho.edu with other questions.


    Handouts and Lecture Notes


Course Description

The aim of this course is to acquaint students with principles and methods of linear programming and application of linear programing models for solving real-world decision optimization problems.


Textbook

Linear Programming and Network Flows: by M.S. Bazaraa, J.J. Jarvis, H. D. Sheralin, 4th Edition, Prentice Hall, Wiley


Syllabus

Download syllabus:  .pdf




Homework and Matlab Projects

Homework will be assigned for every section we cover. Homework assignments are written below.  Homework will be collected on Fridays and random problems will be graded. Students are required to work through these problems after each lecture in order to gain a better understanding of the course material and prepare for exams. 


Homework # 1:  hw1   due Friday, January 25
Homework # 2:  hw2   due Friday, February 1
Homework # 3:  hw3   due Friday, February 8
Homework # 4:  hw4   due Friday, February 15
Homework # 5:  hw5   due Friday, February 22
Homework # 6:  hw6   due Friday, March 1
Homework # 7:  hw7   due Friday, March 22
Homework # 8:  hw8   due Friday, April 5
Homework # 9:  hw9   due Monday, April 15
Homework # 10:  hw10   due Friday, April 26



Handouts

Lecture Notes

Lectures 1/09-1/19/2013
Lectures 1/23-1/25/2013
Lectures 1/28-2/06/2013
Lectures 2/08-2/20/2013
Lectures 2/22-3/18/2013
Lectures 3/20-3/29/2013
Lectures 4/01-4/05/2013
Lectures 4/08-5/01/2013

Wolframalpha:  symbolic computations online

Exams

Exam 1: Friday, February 22 in class 
   Review session:


Exam 2: Monday, April 15 in class
    
   Review session: Sunday, April 14, 10-11 am

Final Exam : Tuesday, May 7, 3-5 pm
            Review session:



Grading

Exam 1: 20%
Exam 2: 25%
Homework: 25%
Final Exam: 30%

Midsemester Questionnaire