15.094 Systems Optimization: Models and Computation, Spring 2002
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15-094Spring-2002/OcwWeb/Sloan-School-of-Management/15-094Systems-Optimization--Models-and-ComputationSpring2002/CourseHome/index.htm
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Author(s) •
Freund, Robert Michael
Teo, Chungpiaw
Alternative Title
Systems Optimization: Models and Computation
Date Issued
June 2002
Abstract
A computational and application-oriented introduction to the modeling of large-scale systems in a wide variety of decision-making domains and the optimization of such systems using state-of-the-art optimization software. Application domains include transportation and logistics, pattern classification, structural design, financial engineering, and telecommunications system planning. Modeling tools and techniques covered include linear, network, discrete, and nonlinear programming, heuristic methods, sensitivity and postoptimality analysis, decomposition methods for large-scale systems, and stochastic programming. From the course home page: Course Description An applications-oriented course on 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.
Subjects
telecommunications system planning
modeling of large-scale systems
optimization software
management
decision making
Mathematical optimization
Management information systems
MIT Department
Sloan School of Management
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