Talk:Approximation algorithm: Difference between revisions
m moved Talk:Nathan Byrne to Talk:Approximation algorithm over redirect: rvv |
References for Approximation Guarantees |
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One is a function, the other is a set. You are right though, it'd probably be less confusing to use another variable.--[[User:NotQuiteEXPComplete|NotQuiteEXPComplete]] 09:26, 20 June 2007 (UTC) |
One is a function, the other is a set. You are right though, it'd probably be less confusing to use another variable.--[[User:NotQuiteEXPComplete|NotQuiteEXPComplete]] 09:26, 20 June 2007 (UTC) |
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== References for Approximation Guarantees == |
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Seeing how there are many different and varying definitions used for approximation guarantees, I would preferably like to see inline sources. The article currently uses ρ-approximation algorithms (relative performance guarantee) and I strongly believe that the definition is taken from Handbook of Approximation Algorithms and Metaheuristics but I cannot verify this myself. The definition used also agrees with "factor δ approximation algorithms" from Vazirani's book but it does not agree with the usual performance ratio which in Cormen et.al. uses the symbol ρ. |
Revision as of 18:23, 24 April 2009
There was an error on this page, specifically that the "dominance number" is made to sound as if it is a "replacement" for some other measure, whereas the reference I found calls it an orthoganal measure. There should probably still be a section about other measurements of approx. algorithms. The paper [1] I found that confirmed this error had some interesting contetnt that perhaps someone should write up. --NotQuiteEXPComplete 16:50, 22 August 2006 (UTC)
An obvious problem: R_a is used to define R_a; whassup? Gritzko 06:30, 11 June 2007 (UTC)
One is a function, the other is a set. You are right though, it'd probably be less confusing to use another variable.--NotQuiteEXPComplete 09:26, 20 June 2007 (UTC)
References for Approximation Guarantees
Seeing how there are many different and varying definitions used for approximation guarantees, I would preferably like to see inline sources. The article currently uses ρ-approximation algorithms (relative performance guarantee) and I strongly believe that the definition is taken from Handbook of Approximation Algorithms and Metaheuristics but I cannot verify this myself. The definition used also agrees with "factor δ approximation algorithms" from Vazirani's book but it does not agree with the usual performance ratio which in Cormen et.al. uses the symbol ρ.