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File: MIT6_079F09_lec08.pdf
This OER is part of OCW: 6.079 Introduction to Convex Optimization (MIT)
Published under: /Lecture notes
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Inherited Tag(s):
- electrical engineering and computer science
- convex sets
- convex functions
- optimization problems
- least-squares
- linear and quadratic programs
- semidefinite programming
- optimality conditions
- duality theory
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Description:This course aims to give students the tools and training to recognize convex optimization problems that arise in scientific and engineering applications, presenting the basic theory, and concentrating on modeling aspects and results that are useful in applications. Topics include convex sets, convex functions, optimization problems, least-s
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Description:This course aims to give students the tools and training to recognize convex optimization problems that arise in scientific and engineering applications, presenting the basic theory, and concentrating on modeling aspects and results that are useful in applications. Topics include convex sets, convex functions, optimization problems, least-s
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Description:This course aims to give students the tools and training to recognize convex optimization problems that arise in scientific and engineering applications, presenting the basic theory, and concentrating on modeling aspects and results that are useful in applications. Topics include convex sets, convex functions, optimization problems, least-s
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