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15.053 Introduction to Optimization, Spring 2004

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Author(s)
Orlin, James B., 1953-
Alternative Title
Introduction to Optimization
Date Issued
June 2004
Abstract
Introduces students to the theory, algorithms, and applications of optimization. The optimization methodologies include linear programming, network optimization, dynamic programming, integer programming, non-linear programming, and heuristics. Applications to logistics, manufacturing, transportation, E-commerce, project management, and finance.
Subjects
optimization
manangement
transportation
logistics
manufacturing
computer science
E-business
project management
finance
methodologies
algorithms
MIT Department
Sloan School of Management
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