Advanced Mathematical Optimisation
Training Provider: Singapore University of Social Sciences
Course Reference: TGS-2024047363
S$1,461
About This Course
Solve single nonlinear equations and systems of nonlinear equations.
Interpret the convexity of sets and functions.
Determine the existence and uniqueness of solutions to a given nonlinear programming problem.
Show the necessary and sufficient optimality conditions for a given nonlinear programming problem.
Apply various numerical algorithms to solve nonlinear programming problems.
Analyse the convergence of various gradient-based iterative methods.
What You'll Learn
MTH356 will provide undergraduates with an understanding of the common algorithms used in nonlinear 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 gradient method and that of constrained nonlinear programming. Additionally, the course covers how such algorithms are implemented using the software Baron. MTH356 will be paired with MTH355 so that students upon the completion of both courses receive a better comprehension of the contents in the specialist field of Optimisation.
Course Details
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Note: To apply for this course, visit the SkillsFuture website or contact the training provider directly.
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