Optimization Theory and Methods

Course information

• Cousrse Number：20001920040
• Term: 2026 Autumn
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Course Description and Goals:

• Optimization theory and methods focus on finding the best solution from many possibilities. It involves building and analyzing models such as linear, nonlinear, and integer programming, and solving them with methods like steepest descent, Newton’s method, simplex, and interior-point algorithms. Widely applied in machine learning, engineering, finance, and supply chain management, optimization helps improve efficiency and reduce costs.