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C-dismantling (CD) problem aims at finding the minimum vertex set D of a graph G(V,E) after removing which the remaining graph will break into connected components with the size not larger than C. In this paper, we introduce a spin-glass…

Physics and Society · Physics 2018-12-26 Shao-Meng Qin

In the presented article we present an algorithm for the computation of ground state spin configurations for the 2d random bond Ising model on planar triangular lattice graphs. Therefore, it is explained how the respective ground state…

Disordered Systems and Neural Networks · Physics 2015-05-19 O. Melchert , A. K. Hartmann

We study the two-dimensional Edwards-Anderson spin-glass model using a parallel tempering Monte Carlo algorithm. The ground-state energy and entropy are calculated for different bond distributions. In particular, the entropy is obtained by…

Statistical Mechanics · Physics 2015-05-28 D. J. Perez-Morelo , A. J. Ramirez-Pastor , F. Roma

We study the minimum dominating set problem as a representative combinatorial optimization challenge with a global topological constraint. The requirement that the backbone induced by the vertices of a dominating set should be a connected…

Data Analysis, Statistics and Probability · Physics 2023-10-25 Yusupjan Habibulla , Hai-Jun Zhou

We study minimum vertex cover problems on random \alpha-uniform hypergraphs using two different approaches, a replica method in statistical mechanics of random systems and a leaf removal algorithm. It is found that there exists a phase…

Disordered Systems and Neural Networks · Physics 2014-07-03 Satoshi Takabe , Koji Hukushima

For many systems with quenched disorder the study of ground states can crucially contribute to a thorough understanding of the physics at play, be it for the critical behavior if that is governed by a zero-temperature fixed point or for…

Disordered Systems and Neural Networks · Physics 2020-06-12 Manoj Kumar , Martin Weigel

The core idea of stochastic stability is that thermodynamic observables must be robust under small (random) perturbations of the quenched Gibbs measure. Combining this idea with the cavity field technique, which aims to measure the free…

Disordered Systems and Neural Networks · Physics 2015-04-15 Peter Sollich , Adriano Barra

An extensive list of results for the ground state properties of spin glasses on random graphs is presented. These results provide a timely benchmark for currently developing theoretical techniques based on replica symmetry breaking that are…

Disordered Systems and Neural Networks · Physics 2009-11-07 S. Boettcher

Using the discrete $\pm J$ bond distribution for the Sherrington-Kirkpatrick spin glass, all ground states for the entire ensemble of the bond disorder are enumerated. Although the combinatorial complexity of the enumeration severely…

Disordered Systems and Neural Networks · Physics 2007-05-23 Stefan Boettcher , Tomasz M. Kott

For the minimum cardinality vertex cover and maximum cardinality matching problems, the max-product form of belief propagation (BP) is known to perform poorly on general graphs. In this paper, we present an iterative loopy annealing BP…

Discrete Mathematics · Computer Science 2014-07-09 Marc Lelarge

We present a general technique to compute how the energy of a configuration varies as a function of its overlap with the ground state in the case of optimization problems. Our approach is based on a generalization of the cavity method to a…

Disordered Systems and Neural Networks · Physics 2007-05-23 A. Pagnani , G. Parisi , M. Ratieville

A ``ballistic-search'' algorithm is presented which allows the identification of clusters (or funnels) of ground states in Ising spin glasses even for moderate system sizes. The clusters are defined to be sets of states, which are connected…

Disordered Systems and Neural Networks · Physics 2009-10-31 Alexander K. Hartmann

The average ground state energy and entropy for +/- J spin glasses on Bethe lattices of connectivities k+1=3...,26 at T=0 are approximated numerically. To obtain sufficient accuracy for large system sizes (up to n=2048), the Extremal…

Disordered Systems and Neural Networks · Physics 2022-05-20 S. Boettcher

Studying spin-glass physics through analyzing their ground-state properties has a long history. Although there exist polynomial-time algorithms for the two-dimensional planar case, where the problem of finding ground states is transformed…

Disordered Systems and Neural Networks · Physics 2009-11-13 Gregor Pardella , Frauke Liers

Minimum vertex cover problem is an NP-Hard problem with the aim of finding minimum number of vertices to cover graph. In this paper, a learning automaton based algorithm is proposed to find minimum vertex cover in graph. In the proposed…

Artificial Intelligence · Computer Science 2013-12-02 Aylin Mousavian , Alireza Rezvanian , Mohammad Reza Meybodi

We solve the q-state Potts model with anti-ferromagnetic interactions on large random lattices of finite coordination. Due to the frustration induced by the large loops and to the local tree-like structure of the lattice this model behaves…

Disordered Systems and Neural Networks · Physics 2008-02-05 Florent Krzakala , Lenka Zdeborová

In classical physics, entropy quantifies the randomness of large systems, where the complete specification of the state, though possible in theory, is not possible in practice. In quantum physics, despite its inherently probabilistic…

Quantum Physics · Physics 2022-09-28 Davi Geiger , Zvi Kedem

We introduce a planted vertex cover problem on regular random graphs and study it by the cavity method of statistical mechanics. Different from conventional Ising models, the equilibrium ferromagnetic phase transition of this binary-spin…

Statistical Mechanics · Physics 2025-02-20 Xin-Yi Fan , Hai-Jun Zhou

Ground states of the Edwards-Anderson (EA) spin glass model are studied on infinite graphs with finite degree. Ground states are spin configurations that locally minimize the EA Hamiltonian on each finite set of vertices. A problem with…

Probability · Mathematics 2014-02-07 Louis-Pierre Arguin , Michael Damron

Typical-case computation complexity is a research topic at the boundary of computer science, applied mathematics, and statistical physics. In the last twenty years the replica-symmetry-breaking mean field theory of spin glasses and the…

Disordered Systems and Neural Networks · Physics 2014-06-17 Jin-Hua Zhao , Hai-Jun Zhou