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This course introduces students to the theory, algorithms, and applications of optimization.
0
English
English [CC]
FREE
- Learn basic syntax that can apply to any language.
- Learn what is a programming language and the basic concepts for beginners.
- Understand what is Javascript in it's truest form.
- Know the basic syntax of Javascript.
- Know some hidden quirks in Javascript.
Description
The optimization methodologies include linear programming, network optimization, integer programming, and decision trees. Applications to logistics, manufacturing, transportation, marketing, project management, and finance. Includes a team project in which students select and solve a problem in practice
Course content
- Introduction Unlimited
- Formulations of linear and non-linear programs Unlimited
- Geometry and visualizations of linear programs Unlimited
- The simplex method 1 Unlimited
- The simplex method 2 Unlimited
- Sensitivity analysis and shadow prices Unlimited
- Game theory 1: 2-person 0-sum, or constant sum Unlimited
- Game theory 2 Unlimited
- Discussion of projects; slack variables vs. artificial variables Unlimited
- Introduction to integer programming Unlimited
- Integer programming formulations Unlimited
- Integer programming techniques 1: branch and bound Unlimited
- Integer programming techniques 2: cutting planes Unlimited
- Integer programming formulations, again Unlimited
- Networks 1: Shortest path problem Unlimited
- Networks 2: Network flows Unlimited
- Networks 3: Traveling salesman problem Unlimited
- Decision trees 1 Unlimited
- Decision trees 2: the value of information Unlimited
- Behavioral economics Unlimited
Instructor
Massachusetts Institute of Technology
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