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20092026
most citedIndependent Set, Induced Matching, and Pricing: Connections and Tight (Subexponential Time) Approximation Hardnesses

8 citations · 30 across the 29 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

cs.DS2023

The Group Access Bounds for Binary Search Trees

Parinya Chalermsook, Manoj Gupta, Wanchote Jiamjitrak +2

The access lemma (Sleator and Tarjan, JACM 1985) is a property of binary search trees that implies interesting consequences such as static optimality, static finger, and working se…

cs.CC2023

Independent set in -Claw-Free Graphs: Conditional -boundedness and the Power of LP/SDP Relaxations

Parinya Chalermsook, Ameet Gadekar, Kamyar Khodamoradi +1

This paper studies -claw-free graphs, exploring the connection between an extremal combinatorics question and the power of a convex program in approximating the maximum-weight i…

cs.DS2023

Sorting Pattern-Avoiding Permutations via 0-1 Matrices Forbidding Product Patterns

Parinya Chalermsook, Seth Pettie, Sorrachai Yingchareonthawornchai

We consider the problem of comparison-sorting an -permutation that avoids some -permutation . Chalermsook, Goswami, Kozma, Mehlhorn, and Saranurak prove that when …

cs.DS2023

Polynomial-time Approximation of Independent Set Parameterized by Treewidth

Parinya Chalermsook, Fedor Fomin, Thekla Hamm +3

We prove the following result about approximating the maximum independent set in a graph. Informally, we show that any approximation algorithm with a ``non-trivial'' approximation…

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…