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20162026
most citedPTAS for Ordered Instances of Resource Allocation Problems with Restrictions on Inclusions

3 citations · 5 across the 7 of their papers we have counts for

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cs.DS2023★ 1 cited

Parameterized Approximation for Robust Clustering in Discrete Geometric Spaces

Fateme Abbasi, Sandip Banerjee, Jarosław Byrka +6

We consider the well-studied Robust -Clustering problem, which generalizes the classic -Median, -Means, and -Center problems. Given a constant , the input…

cs.DS2023

Parameterized Approximation Schemes for Clustering with General Norm Objectives

Fateme Abbasi, Sandip Banerjee, Jarosław Byrka +6

This paper considers the well-studied algorithmic regime of designing a -approximation algorithm for a -clustering problem that runs in time (sometimes ca…

cs.DS2021

Approximation Algorithms for Demand Strip Packing

Waldo Gálvez, Fabrizio Grandoni, Afrouz Jabal Ameli +1

In the Demand Strip Packing problem (DSP), we are given a time interval and a collection of tasks, each characterized by a processing time and a demand for a given resource (such a…

cs.DS2018★ 1 cited

Exact Algorithms and Lower Bounds for Stable Instances of Euclidean k-Means

Zachary Friggstad, Kamyar Khodamoradi, Mohammad R. Salavatipour

We investigate the complexity of solving stable or perturbation-resilient instances of -Means and -Median clustering in fixed dimension Euclidean metrics (more generally doub…

cs.DS2017

Approximation Schemes for Clustering with Outliers

Zachary Friggstad, Kamyar Khodamoradi, Mohsen Rezapour +1

Clustering problems are well-studied in a variety of fields such as data science, operations research, and computer science. Such problems include variants of centre location probl…

cs.DS2016★ 3 cited

PTAS for Ordered Instances of Resource Allocation Problems with Restrictions on Inclusions

Kamyar Khodamoradi, Ramesh Krishnamurti, Arash Rafiey +1

We consider the problem of allocating a set of indivisible resources (items) to a set of customers (players) competing for the resources. Each resource ha…