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The problem of P vs. NP is very serious, and solutions to the problem can help save lives. This article is an attempt at solving the problem using a computer algorithm. It is presented in a fashion that will hopefully allow for easy…

Data Structures and Algorithms · Computer Science 2015-03-19 Matt Groff

We generalize the projection-based quantum measurement-driven $k$-SAT algorithm of Benjamin, Zhao, and Fitzsimons (BZF, arxiv:1711.02687) to arbitrary strength quantum measurements, including the limit of continuous monitoring. In doing so,…

Quantum Physics · Physics 2024-06-21 Yipei Zhang , Philippe Lewalle , K. Birgitta Whaley

We present an improvement on Thurley's recent randomized approximation scheme for #k-SAT where the task is to count the number of satisfying truth assignments of a Boolean function {\Phi} given as an n-variable k-CNF. We introduce a novel…

Data Structures and Algorithms · Computer Science 2014-06-06 Manuel Schmitt , Rolf Wanka

We present a deterministic approximation algorithm to compute logarithm of the number of `good' truth assignments for a random k-satisfiability (k-SAT) formula in polynomial time (by `good' we mean that violate a small fraction of clauses).…

Discrete Mathematics · Computer Science 2007-05-23 Andrea Montanari , Devavrat Shah

The k-means method is a widely used clustering algorithm. One of its distinguished features is its speed in practice. Its worst-case running-time, however, is exponential, leaving a gap between practical and theoretical performance. Arthur…

Data Structures and Algorithms · Computer Science 2008-09-11 Bodo Manthey , Heiko Röglin

Description of a polynomial time reduction of SAT to 2-SAT of polynomial size.

Computational Complexity · Computer Science 2007-05-23 Sergey Gubin

Boolean satisfiability [1] (k-SAT) is one of the most studied optimization problems, as an efficient (that is, polynomial-time) solution to k-SAT (for $k\geq 3$) implies efficient solutions to a large number of hard optimization problems…

Computational Complexity · Computer Science 2012-08-03 Maria Ercsey-Ravasz , Zoltan Toroczkai

In the $k$-cut problem, we are given an edge-weighted graph $G$ and an integer $k$, and have to remove a set of edges with minimum total weight so that $G$ has at least $k$ connected components. The current best algorithms are an…

Data Structures and Algorithms · Computer Science 2019-03-22 Anupam Gupta , Euiwoong Lee , Jason Li

SARRIGUREN, a new complete algorithm for SAT based on counting clauses (which is valid also for Unique-SAT and #SAT) is described, analyzed and tested. Although existing complete algorithms for SAT perform slower with clauses with many…

Data Structures and Algorithms · Computer Science 2025-04-08 Alfredo Goñi Sarriguren

We present a quantum adiabatic algorithm for a set of quantum 2-satisfiability (Q2SAT) problem, which is a generalization of 2-satisfiability (2SAT) problem. For a Q2SAT problem, we construct the Hamiltonian which is similar to that of a…

Quantum Physics · Physics 2021-02-08 Yanglin Hu , Zhelun Zhang , Biao Wu

We study an Achlioptas-process version of the random k-SAT process: a bounded number of k-clauses are drawn uniformly at random at each step, and exactly one added to the growing formula according to a particular rule. We prove the…

Combinatorics · Mathematics 2013-10-16 Will Perkins

In this paper, we provide a deterministic polynomial time algorithm that determines satisfiability of 3-SAT. The complexity analysis for the algorithm takes into account no efficiency and yet provides a low enough bound, that efficient…

Data Structures and Algorithms · Computer Science 2020-07-02 Ortho Flint , Asanka Wickramasinghe , Jason Brasse , Christopher Fowler

We study the design of computationally efficient randomized algorithms for the $k$-server problem. Existing randomized algorithms with the best known competitive ratios are, on the one hand, inherently implicit and, on the other hand,…

Data Structures and Algorithms · Computer Science 2026-05-05 Christian Coester , Romain Cosson

In the last decades, many efforts have focused on analyzing typical-case hardness in optimization and inference problems. Some recent work has pointed out that polynomial algorithms exist, running with a time that grows more than linearly…

Disordered Systems and Neural Networks · Physics 2026-03-05 M. C. Angelini , M. Avila-González , F. D'Amico , D. Machado , R. Mulet , F. Ricci-Tersenghi

We provide a parameterized polynomial algorithm for the propositional model counting problem #SAT, the runtime of which is single-exponential in the rank-width of a formula. Previously, analogous algorithms have been known -- e.g.~[Fischer,…

Discrete Mathematics · Computer Science 2010-06-30 Robert Ganian , Petr Hliněný , Jan Obdržálek

Since the early 2000s physicists have developed an ingenious but non-rigorous formalism called the cavity method to put forward precise conjectures on phase transitions in random problems [Mezard, Parisi, Zecchina: Science 2002]. The cavity…

Combinatorics · Mathematics 2018-11-02 Amin Coja-Oghlan , Konstantinos Panagiotou

We orchestrate a randomized algorithm for #$k$-SAT which counts the exact number of satisfying assignments in $2^{o(n)}$ time. The existence of such algorithm signifies that the #ETH is hereby refuted, and so are $\oplus$ETH, ETH, #SETH,…

Computational Complexity · Computer Science 2021-02-05 Giorgio Camerani

Under the Strong Exponential Time Hypothesis, an integer linear program with $n$ Boolean-valued variables and $m$ equations cannot be solved in $c^n$ time for any constant $c < 2$. If the domain of the variables is relaxed to $[0,1]$, the…

Data Structures and Algorithms · Computer Science 2019-04-11 Joshua Brakensiek , Venkatesan Guruswami

The #2-SAT and #3-SAT problems involve counting the number of satisfying assignments (also called models) for instances of 2-SAT and 3-SAT, respectively. In 2010, Zhou et al. proposed an $\mathcal{O}^*(1.1892^m)$-time algorithm for #2-SAT…

Data Structures and Algorithms · Computer Science 2025-07-22 Junqiang Peng , Zimo Sheng , Mingyu Xiao

Let ${\mathcal C}$ be a proper minor-closed family of graphs. We present a randomized algorithm that given a graph $G \in {\mathcal C}$ with $n$ vertices, finds a simple cycle of size $k$ in $G$ (if exists) in $2^{O(k)}n$ time. The…

Data Structures and Algorithms · Computer Science 2020-08-10 Raphael Yuster