Systems Optimization: Models and Computation (SMA 5223)

Course Features

• Selected lecture notes
• Assignments: problem sets (no solutions)

Course Description

This class is an applications-oriented course covering the modeling of large-scale systems in decision-making domains and the optimization of such systems using state-of-the-art optimization tools. Application domains include: transportation and logistics planning, pattern classification and image processing, data mining, design of structures, scheduling in large systems, supply-chain management, financial engineering, and telecommunications systems planning. Modeling tools and techniques include linear, network, discrete and nonlinear optimization, heuristic methods, sensitivity and post-optimality analysis, decomposition methods for large-scale systems, and stochastic optimization.

This course was also taught as part of the Singapore-MIT Alliance (SMA) programme as course number SMA 5223 (System Optimisation: Models and Computation).

Other OCW Versions

Archived versions:

• 15.094 Systems Optimization: Models and Computation (Spring 2002)

Course Collections

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Find Courses by Topic

• Systems Engineering > Computational Modeling and Simulation
• Systems Engineering > Systems Optimization
• Computation
• Computer Science > Data Mining