Linear Programming 2

Course Code:
11LP2
Academic Degree:
master
Study Programme:
Technology in Transportation and Telecommunications (N 3710)
semesterlanguagestudy field / specialization
1czechLA Logistics and Transport Processes Control - 3708T046
Form of Study:
full-time and part-time
Credits:
3
Number of Hours:
2 + 1 hours per week - in full-time study
10 hours per semester - in part-time study
Type of Course:
obligatory
Course Completion:
classified credit
Course Tutor:
 
roh  Lectures:
doc. Ing. Ivan Nagy, CSc.
roh  Training Course:
doc. Ing. Ivan Nagy, CSc.
roh  Part-time Study:
Ing. Pavla Pecherková, Ph.D.
Supervising Department:
Department of Applied Mathematics (16111)
Keywords:
Optimization, linear criterion and restrictions, binary variables, integer variables, mixed variables, practical implementation.
Abstract:
Task formulation and its solution in Excel. Integer linear programming, binary linear programming. Mixed linear programming, practical examples (transportation problem, epidemy of infectious disease, problem of order, problem of service).
Objectives:
The goal of the course is introduce secial algorithms of linear programming that are close to practical applications. They concern especially methods of binary, integer and mixed variables. The tasks will be demonstrated on practical examples.