Optimisation Problems: Methods and Constraints

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Page 3 of 4

Explains thermodynamic properties, equations of state, and mixture rules for energy systems modeling.

Explores solving discrete optimization problems by relaxing integrality constraints.

Explores modeling classic optimization problems as mixed integer linear problems, focusing on the knapsack problem and its applications.

Covers the concept of hedging for Linear Programs and the simplex method, focusing on minimizing costs and finding optimal solutions.

Covers semi-definite programming and optimization over positive semidefinite cones.

Introduces the two-phase simplex algorithm and explores duality in linear programming.

Covers exercises on the Simplex Algorithm, optimizing solutions subject to linear constraints.

Introduces linear programming, emphasizing optimization with constraints and practical examples.

Covers exercises and solutions in translating text problems into linear programming and optimizing decision-making processes.

Explores extreme points in linear programming and the role of constraints in finding optimal solutions.