Sciweavers
Explore
Publications
Books
Software
Tutorials
Presentations
Lectures Notes
Datasets
Labs
Conferences
Community
Upcoming
Conferences
Top Ranked Papers
Most Viewed Conferences
Conferences by Acronym
Conferences by Subject
Conferences by Year
Tools
Sci2ools
International Keyboard
Graphical Social Symbols
CSS3 Style Generator
OCR
Web Page to Image
Web Page to PDF
Merge PDF
Split PDF
Latex Equation Editor
Extract Images from PDF
Convert JPEG to PS
Convert Latex to Word
Convert Word to PDF
Image Converter
PDF Converter
Community
Sciweavers
About
Terms of Use
Privacy Policy
Cookies
Free Online Productivity Tools
i2Speak
i2Symbol
i2OCR
iTex2Img
iWeb2Print
iWeb2Shot
i2Type
iPdf2Split
iPdf2Merge
i2Bopomofo
i2Arabic
i2Style
i2Image
i2PDF
iLatex2Rtf
Sci2ools
19
click to vote
ANOR
2005
favorite
Email
discuss
report
46
views
more
ANOR 2005
»
On the Convexity of Precedence Sequencing Games
13 years 10 months ago
Download
pareto.uab.es
: In this paper we study a class of cooperative sequencing games that arise from one-machine sequencing situations in which chain precedence relations are imposed on the jobs. It is shown that these sequencing games are convex.
Herbert Hamers, Flip Klijn, Bas van Velzen
Real-time Traffic
ANOR 2005
|
Cooperative Sequencing Games
|
One-machine Sequencing Situations
|
Sequencing
|
claim paper
Related Content
»
The Core of Games on Distributive Lattices
»
Moving Block Sequence and Organizational Evolutionary Algorithm for General Floorplanning
»
Maximum causal entropy correlated equilibria for Markov games
»
Ambiguity and Constraint in Mathematical Expression Recognition
»
The Flow Set with Partial Order
»
Distributed iterative regularization algorithms for monotone Nash games
»
Playing games with approximation algorithms
»
Gametheoretic analysis of an ancient Chinese horse race problem
more »
Post Info
More Details (n/a)
Added
15 Dec 2010
Updated
15 Dec 2010
Type
Journal
Year
2005
Where
ANOR
Authors
Herbert Hamers, Flip Klijn, Bas van Velzen
Comments
(0)
Researcher Info
ANOR 2010 Study Group
Computer Vision