<--- Back to Details
First PageDocument Content
Mathematical optimization / Convex optimization / Operations research / Mathematical analysis / Linear programming / Ellipsoid method / Relaxation / Duality
Date: 2016-02-06 20:00:38
Mathematical optimization
Convex optimization
Operations research
Mathematical analysis
Linear programming
Ellipsoid method
Relaxation
Duality

CS261: Exercise Set #5 For the week of February 1–5, 2016 Instructions: (1) Do not turn anything in. (2) The course staff is happy to discuss the solutions of these exercises with you in office hours or on Piazza.

Add to Reading List

Source URL: theory.stanford.edu

Download Document from Source Website

File Size: 72,57 KB

Share Document on Facebook

Similar Documents

The Ellipsoid Method: A Survey

The Ellipsoid Method: A Survey

DocID: 1rsIC - View Document

CS168: The Modern Algorithmic Toolbox Lecture #18: Linear and Convex Programming, with Applications to Sparse Recovery Tim Roughgarden & Gregory Valiant∗ May 25, 2016

CS168: The Modern Algorithmic Toolbox Lecture #18: Linear and Convex Programming, with Applications to Sparse Recovery Tim Roughgarden & Gregory Valiant∗ May 25, 2016

DocID: 1rjsj - View Document

CS261: Exercise Set #5 For the week of February 1–5, 2016 Instructions: (1) Do not turn anything in. (2) The course staff is happy to discuss the solutions of these exercises with you in office hours or on Piazza.

CS261: Exercise Set #5 For the week of February 1–5, 2016 Instructions: (1) Do not turn anything in. (2) The course staff is happy to discuss the solutions of these exercises with you in office hours or on Piazza.

DocID: 1qXY7 - View Document

From Convex Optimization to Randomized Mechanisms: Toward Optimal Combinatorial Auctions∗ Shaddin Dughmi† Tim Roughgarden‡

From Convex Optimization to Randomized Mechanisms: Toward Optimal Combinatorial Auctions∗ Shaddin Dughmi† Tim Roughgarden‡

DocID: 1qR3A - View Document

Simple and Fast Inverse Alignment John Kececioglu and Eagu Kim Department of Computer Science, The University of Arizona, Tucson, AZ 85721, USA {kece, egkim}@cs.arizona.edu

Simple and Fast Inverse Alignment John Kececioglu and Eagu Kim Department of Computer Science, The University of Arizona, Tucson, AZ 85721, USA {kece, egkim}@cs.arizona.edu

DocID: 1qOVn - View Document