MIT 15.071 The Analytics Edge, Spring 2017 8.2.10 An Introduction to Linear Optimization - Video 6: Sensitivity Analysis
8.2.10 An Introduction to Linear Optimization - Video 6: Sensitivity Analysis Transcript and Lesson Notes
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Allison O'Hair Understanding how the solution changes when the data changes. License: Creative Commons BY-NC-
Quick Summary
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Allison O'Hair Understanding how the solution changes when the data changes. License: Creative Commons BY-NC-
Key Takeaways
- Review the core idea: MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Allison O'Hair Understanding how the solution changes when the data changes. License: Creative Commons BY-NC-
- Understand how marketing decision fits into 8.2.10 An Introduction to Linear Optimization - Video 6: Sensitivity Analysis.
- Understand how forecasting fits into 8.2.10 An Introduction to Linear Optimization - Video 6: Sensitivity Analysis.
- Understand how discount demand fits into 8.2.10 An Introduction to Linear Optimization - Video 6: Sensitivity Analysis.
- Understand how shadow pricing fits into 8.2.10 An Introduction to Linear Optimization - Video 6: Sensitivity Analysis.
Key Concepts
Full Transcript
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Allison O'Hair Understanding how the solution changes when the data changes. License: Creative Commons BY-NC-SA More information at https://ocw.mit.edu/terms More courses at https://ocw.mit.edu
Lesson FAQs
What is 8.2.10 An Introduction to Linear Optimization - Video 6: Sensitivity Analysis about?
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Allison O'Hair Understanding how the solution changes when the data changes. License: Creative Commons BY-NC-
What key concepts are covered in this lesson?
The lesson covers marketing decision, forecasting, discount demand, shadow pricing, evaluating capacity constraint.
What should I learn before 8.2.10 An Introduction to Linear Optimization - Video 6: Sensitivity Analysis?
Review the previous lessons in MIT 15.071 The Analytics Edge, Spring 2017, then use the transcript and key concepts on this page to fill any gaps.
How can I practice after this lesson?
Practice by applying the main concepts: marketing decision, forecasting, discount demand, shadow pricing.
Does this lesson include a transcript?
Yes. The full transcript is visible on this page in indexable HTML sections.
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