15.094J / 1.142J Systems Optimization: Models and Computation (SMA 5223)

Spring 2004

Transportation computation.
An image of transportation demand and computational solutions. (Image courtesy of Andreas Schulz.)

Course Highlights

This course features a comprehensive set of lecture notes, covering topics from basic principles such as Linear Optimization to sophisticated real-world applications. Also, there is a complete set of problem sets in the assignments section.

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).

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Staff

Instructors:
Prof. Robert Freund
Prof. Jie Sun
Prof. Thomas Magnanti

Course Meeting Times

Lectures:
Two sessions / week
1.5 hours / session

Level

Graduate

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