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From the 2 of 13 linked papers with an AI index.

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13 papers

cs.DS2026

Semi-Streaming Matching in a Single Pass II: Greedy is Optimal

Sepehr Assadi, Max Jiang, Mars Xiang

The paper proves that no single-pass semi‑streaming algorithm can achieve better than a 1/2 approximation for maximum matching, establishing the greedy algorithm as optimal and als…

cs.DS2026

Semi-Streaming Matching in a Single Pass I: A New Framework for Lower Bounds via Blueprints

Sepehr Assadi, Max Jiang, Mars Xiang

The paper presents a new blueprint-based framework for proving lower bounds on the approximation ratio of single‑pass semi‑streaming algorithms for maximum matching, simplifying pr…

cs.DS2026

Fully Dynamic Algorithms for Coloring Triangle-Free Graphs

Sepehr Assadi, Helia Yazdanyar

A celebrated result of Johansson in graph theory states that every triangle-free graph of maximum degree can be properly colored with colors, improving upon the…

cs.DS2026

Simple Sublinear Algorithms for Vertex Coloring via Asymmetric Palette Sparsification

Sepehr Assadi, Helia Yazdanyar

The palette sparsification theorem (PST) of Assadi, Chen, and Khanna (SODA 2019) states that in every graph with maximum degree , sampling a list of colors fro…

cs.DS2025

Coloring Graphs with Few Colors in the Streaming Model

Sepehr Assadi, Janani Sundaresan, Helia Yazdanyar

We study graph coloring problems in the streaming model, where the goal is to process an -vertex graph whose edges arrive in a stream, using a limited space that is smaller than…

cs.DS2025

Better Bounds for Semi-Streaming Single-Source Shortest Paths

Sepehr Assadi, Gary Hoppenworth, Janani Sundaresan

In the semi-streaming model, an algorithm must process any -vertex graph by making one or few passes over a stream of its edges, use words of space…