activity
20202025
most citedThe Sharp Power Law of Local Search on Expanders

1 citations · 1 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CC2025

Tarski Lower Bounds from Multi-Dimensional Herringbones

Simina Brânzei, Reed Phillips, Nicholas Recker

Tarski's theorem states that every monotone function from a complete lattice to itself has a fixed point. We analyze the query complexity of finding such a fixed point on the -d…

cs.CC2024

A note on quantum lower bounds for local search via congestion and expansion

Simina Brânzei, Nicholas J. Recker

We consider the quantum query complexity of local search as a function of graph geometry. Given a graph with vertices and black box access to a function $f : V \to…

cs.CC2024

The Randomized Query Complexity of Finding a Tarski Fixed Point on the Boolean Hypercube

Simina Brânzei, Reed Phillips, Nicholas Recker

The Knaster-Tarski theorem, also known as Tarski's theorem, guarantees that every monotone function defined on a complete lattice has a fixed point. We analyze the query complexity…

cs.CC2024

Spectral Lower Bounds for Local Search

Simina Brânzei, Nicholas J. Recker

Local search is a powerful heuristic in optimization and computer science, the complexity of which has been studied in the white box and black box models. In the black box model, w…

cs.CC2023★ 1 cited

The Sharp Power Law of Local Search on Expanders

Simina Brânzei, Davin Choo, Nicholas Recker

Local search is a powerful heuristic in optimization and computer science, the complexity of which was studied in the white box and black box models. In the black box model, we are…

cs.DS2020

Searching, Sorting, and Cake Cutting in Rounds

Simina Brânzei, Dimitris Paparas, Nicholas Recker

We study searching and sorting in rounds motivated by a fair division question: given a cake cutting problem with players, compute a fair allocation in at most rounds of in…