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What is ptaas? 


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A Polynomial Time Approximation Scheme (PTAS) is a method used to efficiently approximate solutions to computationally complex optimization problems within a polynomial time frame. PTASes have been developed for various challenging problems across different domains. In the context of research papers provided, PTASes have been proposed for a range of problems such as the unit demand capacitated vehicle routing problem on trees and splittable CVRP , clustering problems with different center types , unsplittable flow on a path problem , rectangle stabbing problems including horizontal and general rectangle stabbing , and constraint satisfaction problems on sparse graph classes . These PTASes offer efficient approximation algorithms for these NP-hard problems, enabling practical solutions with guaranteed performance bounds.

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Open accessProceedings ArticleDOI
29 Jun 2021
2 Citations
A PTAS (Polynomial-Time Approximation Scheme) is a method for solving constraint satisfaction problems efficiently, particularly on sparse graph classes, as discussed in the paper.
A PTAS (Polynomial-Time Approximation Scheme) is a computational algorithm that provides near-optimal solutions for NP-hard problems, as demonstrated in the paper for rectangle stabbing problems.
Proceedings ArticleDOI
09 Jun 2022
4 Citations
A PTAS (Polynomial Time Approximation Scheme) is presented for the Unsplittable Flow on a Path problem, achieving a (1 + epsilon)-approximation ratio, resolving an open question in the field.
Open accessJournal ArticleDOI
5 Citations
A PTAS (Polynomial Time Approximation Scheme) is provided for the capacitated vehicle routing problem (CVRP) on trees, extending to the splittable CVRP, for all tour capacities.
A PTAS (Polynomial-Time Approximation Scheme) is proposed in the paper for the p-Means q-Medoids r-Given Clustering Problem, with a complexity of O((d+n)n^(q+2+p/ε)).

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