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20192026
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cs.DS2026

A Deterministic Near-Linear Time Approximation Algorithm for Restricted Shortest Paths in Directed Graphs

Vikrant Ashvinkumar

In the restricted shortest paths problem, we are given an -vertex -edge directed graph whose edges are assigned two non-negative weights (or resources) called lengths and…

cs.DS2026

Parallel Reachability and Shortest Paths on Non-sparse Digraphs: Near-linear Work and Sub-square-root Depth

Vikrant Ashvinkumar, Aaron Bernstein, Maximilian Probst Gutenberg +1

We present parallel algorithms for computing single-source reachability and shortest paths on directed -vertex -edge graphs using near-linear work and $o(\sqrt…

cs.DS2025

Vantage Point Selection Algorithms for Bottleneck Capacity Estimation

Vikrant Ashvinkumar, Rezaul Chowdhury, Jie Gao +3

Motivated by the problem of estimating bottleneck capacities on the Internet, we formulate and study the problem of vantage point selection. We are given a graph whose e…

cs.DS2024

Faster Approximation Algorithms for Restricted Shortest Paths in Directed Graphs

Vikrant Ashvinkumar, Aaron Bernstein, Adam Karczmarz

In the restricted shortest paths problem, we are given a graph whose edges are assigned two non-negative weights: lengths and delays, a source , and a delay threshold . T…

cs.DS2024

Low Sensitivity Hopsets

Vikrant Ashvinkumar, Aaron Bernstein, Chengyuan Deng +2

Given a weighted graph , a -hopset is an edge set such that for any , where can reach in , there is a path from to in $G \c…

cs.DS2023

Evaluating Stability in Massive Social Networks: Efficient Streaming Algorithms for Structural Balance

Vikrant Ashvinkumar, Sepehr Assadi, Chengyuan Deng +2

Structural balance theory studies stability in networks. Given a -vertex complete graph whose edges are labeled positive or negative, the graph is considered \emph{bal…