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Linear Systems and Optimization: Convex Optimization I

        

Linear Systems and Optimization: Convex Optimization I

Logo for Linear Systems and Optimization: Convex Optimization I
Convex Optimization I is one of the ten free courses being offered to the public through Stanford Engineering Everywhere. The course belongs to the Linear Systems and Optimization series and is taught by Professor Stephen Boyd of Stanford University's Electrical Engineering Department. The course concentrates on recognizing and solving convex optimization problems that arise in engineering. Convex sets, functions, and optimization problems. Basics of convex analysis. Least-squares, linear... More
Material Type: Online Course
Technical Format: Video
Date Added to MERLOT: November 21, 2008
Date Modified in MERLOT: November 21, 2008
Author:
Send email to see-information@lists.stanford.edu
Keywords: Linear Programs, Convex Analysis, Quadratic Programs, Theorems of Alternative, Semidefinite Programming, Digital Circuit Design, Stanford University, Computational Geometry, Stephen Boyd, Analog Circuit Design, Convex Optimization, Duality Theory, Stanford Engineering Everywhere, Optimality Conditions, Least Squares, Signal Processing

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Primary Audience: College General Ed, College Lower Division, College Upper Division, Graduate School, Professional
Mobile Compatibility: Not specified at this time
Technical Requirements: Lecture videos are offered via Silverlight, iTunes, YouTube, and downloadable .wmv and .mp4 torrents. Course materials in the form of .pdf files are also available for download.
Language: English
Material Version: First Release
Cost Involved: no
Source Code Available: no
Accessiblity Information Available: no
Creative Commons: Creative Commons License
This work is licensed under a Attribution-NonCommercial-ShareAlike 3.0 United States

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