731351 Applied mathematical programming in natural resource management
This page is available under these URLs:
- Lecture and seminar
- Semester hours
- Lecturer (assistant)
- Offered in
- Wintersemester 2022/23
- Languages of instruction
The course captures:
1. Introduction to Linear Programming and GAMS (http://www.gams.com/)
1.1. LP formulation and interpretation
-- Proportionality, Addidivity, Divisibility, Certainty
-- Primal-Dual Relationships
-- Degeneracy and Shadow Prices
1.2. GAMS (data management and modelling building)
-- Defining Sets and Elements
-- Writing Equations and Specification of Variables and Bounds
-- Forming and Solving a Model
-- Report Writing
2. Mathematical Programming Formulations, Model Building and Comparative Static Analyses in Context of Efficient Resource Management
- Multi-Objective and Goal Programming
- Applied Integer Programming
- Risk Programming
- Sequential Programming
- Linear Programming Modeling: Non-linear and Approximation techniques
- Objective (expected results of study and acquired competences)
• To learn Mathematical Programming Formulations in Context of Efficient Natural Resource Managment (LP, MILP, Multi-Objective Programming, Sequencing, Risk Programming, etc.).
• To learn how to use GAMS (General Algebraic Modeling Systems) in building and solving programming models.
• To learn good model building in GAMS.
• To build and apply programming models.
• To interpret, synthesize, and report model results.
You can find more details like the schedule or information about exams on the course-page in BOKUonline.