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Research PaperResearchia:202610.22005

A Quasipolynomial Algorithm for $\ell_\infty$ Contractions

Ashkan Soleymani

Abstract

We give an algorithm for computing an $\eps$-approximate fixed point of any $d$-dimensional nonexpansion with respect to the $\ell_\infty$ norm in time $\log(1/\eps)^{O(\log^2 d)}$. At its core, our method uses a boosting argument to geometrically shrink a search region. Among other consequences, our algorithm implies that simple stochastic games can be solved in quasipolynomial time. --- Source: arXiv:2610.30122v1 - http://arxiv.org/abs/2610.30122v1 PDF: https://arxiv.org/pdf/2610.30122v1 Origi...

Submitted: October 22, 2026Subjects: Machine Learning; Data Science

Description / Details

We give an algorithm for computing an \eps\eps-approximate fixed point of any dd-dimensional nonexpansion with respect to the β„“βˆž\ell_\infty norm in time log⁑(1/\eps)O(log⁑2d)\log(1/\eps)^{O(\log^2 d)}. At its core, our method uses a boosting argument to geometrically shrink a search region. Among other consequences, our algorithm implies that simple stochastic games can be solved in quasipolynomial time.


Source: arXiv:2610.30122v1 - http://arxiv.org/abs/2610.30122v1 PDF: https://arxiv.org/pdf/2610.30122v1 Original Link: http://arxiv.org/abs/2610.30122v1

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Date:
Oct 22, 2026
Topic:
Data Science
Area:
Machine Learning
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