731351 Applied mathematical programming in natural resource management (in Eng.)

Vorlesung und Seminar
Vortragende/r (Mitwirkende/r)
Schmid, Erwin
Angeboten im Semester
Wintersemester 2022/23
Unterrichts-/ Lehrsprachen


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 model building)
-- Defining Indices and Sets
-- Writing Equations and Specification of Variables and Constraints
-- Building and Solving a Model
-- Report Writing
2. Mathematical Programming Formulations, Model Building and Comparative Static Analyses in Context of Efficient Resource Management
- Multi-Objective Programming and Goal Programming
- Mixed Integer Programming
- Risk Programming
- Sequential Programming
- Special Linear Programming techniques i.e. non-linear and approximation techniques


• 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.
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