Calendar · Lecture Notes
MIT OpenCourseWare
Nonlinear Programming
Art: Palmer, Edward, 1803-1872, Figures 113-123. Plate Electrical Machines, 1840 · Public domain
- Instructor
- Prof. Dimitri Bertsekas
- Term
- Spring 2003
- Level
- Graduate
- What's inside
- 1 lecture note · 26 other files · 4 web pages
- Materials open
- MIT OCW
About this course
Source: MIT OpenCourseWare 6.252J Nonlinear Programming, Spring 2003, Prof. Dimitri Bertsekas — original course page on ocw.mit.edu ↗. License: CC BY-NC-SA 4.0. Study order: MIT's own listing order, section by section. Taken from MIT's published course files, downloaded from ocw.mit.edu on September 23, 2026. How RedLectern is built.
Materials are grouped the way MIT organized them. A verified, course-wide order has not been established here.
Before you start
Prerequisites are not listed here. Check MIT's own syllabus for this course.
How this course was organized
What's here, and what isn't
- A lecture sequence of 22 items is confirmed. It stays as organized materials rather than a full course order.
Not included here
2 items from the source could not be safely included:
- MIT's page format for this item wasn't recognized clearly enough to place it safely. (2 items)
Materials by section
Grouped by section, as MIT organized them. Not sequenced or ordered.
Lecture Notes
22 files
- Introduction Download
- Unconstrained Optimization - Optimality Conditions Download
- Gradient Methods Download
- Convergence Analysis of Gradient Methods Download
- Rate of Convergence Download
- Newton and Gauss - Newton Methods Download
- Additional Methods Download
- Optimization Over a Convex Set; Optimality Conditions Download
- Feasible Direction Methods Download
- Alternatives to Gradient Projection Download
- Lecture 11 · Constrained Optimization; Lagrange Multipliers Download
- Lecture 12 · Constrained Optimization; Lagrange Multipliers Download
- Inequality Constraints Download
- Introduction to Duality Download
- Interior Point Methods Download
- Penalty Methods Download
- Augmented Lagrangian Methods Download
- Duality Theory Download
- Duality Theorems Download
- Strong Duality Download
- Dual Computational Methods Download
- Additional Dual Methods Download
Assignments
Tools
Course outline
Calendar · Lecture Notes
Lecture 2: Unconstrained Optimization - Optimality Conditions
Calendar · Lecture Notes
Lecture 3: Gradient Methods
Calendar · Lecture Notes
Lecture 4: Convergence Analysis of Gradient Methods
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Lecture 5: Rate of Convergence
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Lecture 6: Newton and Gauss - Newton Methods
Calendar · Lecture Notes
Lecture 7: Additional Methods
Calendar · Lecture Notes
Lecture 8: Optimization Over a Convex Set; Optimality Conditions
Calendar · Lecture Notes
Lecture 9: Feasible Direction Methods
Calendar · Lecture Notes
Lecture 10: Alternatives to Gradient Projection
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Lecture 11: Constrained Optimization; Lagrange Multipliers
Calendar · Lecture Notes
Lecture 12: Constrained Optimization; Lagrange Multipliers
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Lecture 13: Inequality Constraints
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Lecture 14: Introduction to Duality
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Lecture 15: Interior Point Methods
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Lecture 16: Penalty Methods
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Lecture 17: Augmented Lagrangian Methods
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Lecture 18: Duality Theory
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Lecture 19: Duality Theorems
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Lecture 20: Strong Duality
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Lecture 21: Dual Computational Methods
Calendar · Lecture Notes
Lecture 22: Additional Dual Methods
MIT OpenCourseWare, Prof. Dimitri Bertsekas, 6.252J Nonlinear Programming, Spring 2003.
License: CC BY-NC-SA 4.0 · Edition: Spring 2003 · Open the original course on OCW ↗
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