Basic Mathematical Optimisation
Training Provider: Singapore University of Social Sciences
Course Reference: TGS-2024047362
S$1,461
About This Course
Formulate linear optimisation problems into mathematical and graphical linear models
Solve linear optimisation modelling problems using the simplex method
Analyse linear optimization problems with the two-phase simplex solution technique
Apply the LU decomposition technique and the conditions of convergence for linear sets of equations
Employ the branch and bound method to solve integer programming and 0-1 variable models
Compute the optimum solution of a large linear programming model
What You'll Learn
MTH355 Basic Mathematical Optimisation will provide undergraduates with an understanding of the common algorithms used in linear optimisation. The topics covered are of central importance for many applications in data science and data analytics. The course gives a comprehensive introduction to the simplex method and integer programming whilst only assuming a knowledge of basic linear algebra. Additionally, the course will teach students how such algorithms are implemented using the software Gurobi.
Course Details
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