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In this paper, we present a new iterative rounding framework for many clustering problems. Using this, we obtain an $(\alpha_1 + \epsilon \leq 7.081 + \epsilon)$-approximation algorithm for $k$-median with outliers, greatly improving upon…

Data Structures and Algorithms · Computer Science 2018-04-09 Ravishankar Krishnaswamy , Shi Li , Sai Sandeep

In this paper, we study the integrality gap of the Knapsack linear program in the Sherali- Adams and Lasserre hierarchies. First, we show that an integrality gap of 2 - {\epsilon} persists up to a linear number of rounds of Sherali-Adams,…

Computational Complexity · Computer Science 2010-07-09 Anna R. Karlin , Claire Mathieu , C. Thach Nguyen

We improve the running times of $O(1)$-approximation algorithms for the set cover problem in geometric settings, specifically, covering points by disks in the plane, or covering points by halfspaces in three dimensions. In the unweighted…

Computational Geometry · Computer Science 2020-03-31 Timothy M. Chan , Qizheng He

The Knapsack problem is one of the most fundamental NP-complete problems at the intersection of computer science, optimization, and operations research. A recent line of research worked towards understanding the complexity of…

Data Structures and Algorithms · Computer Science 2024-02-27 Karl Bringmann

In the Minmax Set Cover Reconfiguration problem, given a set system $\mathcal{F}$ over a universe and its two covers $\mathcal{C}^\mathsf{start}$ and $\mathcal{C}^\mathsf{goal}$ of size $k$, we wish to transform $\mathcal{C}^\mathsf{start}$…

Computational Complexity · Computer Science 2025-01-07 Shuichi Hirahara , Naoto Ohsaka

We revisit the minimum dominating set problem on graphs with arboricity bounded by $\alpha$. Bansal and Umboh [BU17] gave an $O(\alpha)$-approximation LP rounding algorithm, which also translates into a near-linear time algorithm using…

Data Structures and Algorithms · Computer Science 2021-08-11 Adir Morgan , Shay Solomon , Nicole Wein

We consider the problem of scheduling jobs on unrelated machines so as to minimize the sum of weighted completion times. Our main result is a $(3/2-c)$-approximation algorithm for some fixed $c>0$, improving upon the long-standing bound of…

Data Structures and Algorithms · Computer Science 2015-12-02 Nikhil Bansal , Aravind Srinivasan , Ola Svensson

We study the incremental knapsack problem, where one wishes to sequentially pack items into a knapsack whose capacity expands over a finite planning horizon, with the objective of maximizing time-averaged profits. While various…

Data Structures and Algorithms · Computer Science 2020-10-16 Ali Aouad , Danny Segev

We define a reduction mechanism for LP and SDP formulations that degrades approximation factors in a controlled fashion. Our reduction mechanism is a minor restriction of classical reductions establishing inapproximability in the context of…

Computational Complexity · Computer Science 2016-01-20 Gábor Braun , Sebastian Pokutta , Daniel Zink

We consider set covering problems where the underlying set system satisfies a particular replacement property w.r.t. a given partial order on the elements: Whenever a set is in the set system then a set stemming from it via the replacement…

Discrete Mathematics · Computer Science 2015-03-17 Friedrich Eisenbrand , Naonori Kakimura , Thomas Rothvoß , Laura Sanità

We introduce and study a discrete multi-period extension of the classical knapsack problem, dubbed generalized incremental knapsack. In this setting, we are given a set of $n$ items, each associated with a non-negative weight, and $T$ time…

Data Structures and Algorithms · Computer Science 2020-09-16 Yuri Faenza , Danny Segev , Lingyi Zhang

We initiate a systematic study of utilizing predictions to improve over approximation guarantees of classic algorithms, without increasing the running time. We propose a systematic method for a wide class of optimization problems that ask…

Data Structures and Algorithms · Computer Science 2024-11-26 Antonios Antoniadis , Marek Eliáš , Adam Polak , Moritz Venzin

We present a nearly linear work parallel algorithm for approximating the Held-Karp bound for the Metric TSP problem. Given an edge-weighted undirected graph $G=(V,E)$ on $m$ edges and $\epsilon>0$, it returns a $(1+\epsilon)$-approximation…

Data Structures and Algorithms · Computer Science 2025-06-24 Zhuan Khye Koh , Omri Weinstein , Sorrachai Yingchareonthawornchai

We address an algorithm for the least squares fitting of a subset of the eigenvalues of an unknown Hermitian matrix lying an an affine subspace, called the Lift and Projection (LP) method, due to Chen and Chu (SIAM Journal on Numerical…

Numerical Analysis · Mathematics 2025-04-11 Alban Bloor Riley , Marcus Webb , Michael L. Baker

This work proposes and analyzes a compressed sensing approach to polynomial approximation of complex-valued functions in high dimensions. Of particular interest is the setting where the target function is smooth, characterized by a rapidly…

Numerical Analysis · Mathematics 2020-01-22 Abdellah Chkifa , Nick Dexter , Hoang Tran , Clayton G. Webster

We study the approximability of multiway partitioning problems, examples of which include Multiway Cut, Node-weighted Multiway Cut, and Hypergraph Multiway Cut. We investigate these problems from the point of view of two possible…

Data Structures and Algorithms · Computer Science 2015-03-16 Alina Ene , Jan Vondrak , Yi Wu

We study a generalization of the Set Cover problem called the \emph{Partial Set Cover} in the context of geometric set systems. The input to this problem is a set system $(X, \mathcal{S})$, where $X$ is a set of elements and $\mathcal{S}$…

Computational Geometry · Computer Science 2017-12-13 Tanmay Inamdar , Kasturi Varadarajan

The subject of this paper is the time complexity of approximating Knapsack, Subset Sum, Partition, and some other related problems. The main result is an $\widetilde{O}(n+1/\varepsilon^{5/3})$ time randomized FPTAS for Partition, which is…

Data Structures and Algorithms · Computer Science 2019-05-07 Marcin Mucha , Karol Węgrzycki , Michał Włodarczyk

Motivated by robotic trajectory optimization problems we consider the Augmented Lagrangian approach to constrained optimization. We first propose an alternative augmentation of the Lagrangian to handle the inequality case (not based on…

Optimization and Control · Mathematics 2014-12-16 Marc Toussaint

We design a Local Computation Algorithm (LCA) for the set cover problem. Given a set system where each set has size at most $s$ and each element is contained in at most $t$ sets, the algorithm reports whether a given set is in some fixed…

Data Structures and Algorithms · Computer Science 2019-11-06 Christoph Grunau , Slobodan Mitrović , Ronitt Rubinfeld , Ali Vakilian
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