<--- Back to Details
First PageDocument Content
Mathematical optimization / Mathematics / Operations research / Linear programming / Convex optimization / Combinatorial optimization / Computational complexity theory / Submodular set function / Randomized rounding / Optimization problem / Matroid / Ellipsoid method
Date: 2012-07-04 18:28:36
Mathematical optimization
Mathematics
Operations research
Linear programming
Convex optimization
Combinatorial optimization
Computational complexity theory
Submodular set function
Randomized rounding
Optimization problem
Matroid
Ellipsoid method

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

Add to Reading List

Source URL: www.qiqiyan.com.s3-website-us-east-1.amazonaws.com

Download Document from Source Website

File Size: 255,23 KB

Share Document on Facebook

Similar Documents

The Complexity of Safety Stock Placement in General-Network Supply Chains Ekaterina Lesnaia, Iuliu Vasilescu, and Stephen C. Graves MIT  Abstract— We consider the optimization problem of safety

The Complexity of Safety Stock Placement in General-Network Supply Chains Ekaterina Lesnaia, Iuliu Vasilescu, and Stephen C. Graves MIT Abstract— We consider the optimization problem of safety

DocID: 1xThh - View Document

Deadline-Aware Multipath Communication: An Optimization Problem Laurent Chuat∗ , Adrian Perrig∗ , Yih-Chun Hu† of Computer Science, ETH Zurich, Switzerland † Department of Electrical and Computer Engineering, Uni

Deadline-Aware Multipath Communication: An Optimization Problem Laurent Chuat∗ , Adrian Perrig∗ , Yih-Chun Hu† of Computer Science, ETH Zurich, Switzerland † Department of Electrical and Computer Engineering, Uni

DocID: 1xTc0 - View Document

Combined Optimization and Reinforcement Learning for Manipulation Skills Peter Englert and Marc Toussaint Machine Learning & Robotics Lab University of Stuttgart, Germany Abstract—This work addresses the problem of how

Combined Optimization and Reinforcement Learning for Manipulation Skills Peter Englert and Marc Toussaint Machine Learning & Robotics Lab University of Stuttgart, Germany Abstract—This work addresses the problem of how

DocID: 1vjBp - View Document

The Quadratic Assignment Problem in Code Optimization for a Simple Universal Turing Machine

The Quadratic Assignment Problem in Code Optimization for a Simple Universal Turing Machine

DocID: 1uZDW - View Document

Formulating an Optimization Problem

Formulating an Optimization Problem

DocID: 1uSM0 - View Document