نتایج جستجو برای: linear coloring

تعداد نتایج: 493492  

Journal: :Eur. J. Comb. 1999
Victor Reiner

For any matroid M realizable over Q, we give a combinatorial interpretation of the Tutte polynomial T M (x; y) which generalizes many of its known interpretations and specializations, including Tutte's coloring and ow interpretations of T M (1 ? t; 0); T M (0; 1 ? t), Crapo and Rota's nite eld interpretation of T M (1 ? q k ; 0), the interpretation in terms of the Whitney corank-nullity polynom...

2011
Avraham N. Trahtman

The work presents some new algorithms realized recently in the package TESTAS. The package decides whether or not DFA is synchronizing, several procedures find relatively short synchronizing words and a synchronizing word of the minimal length. We check whether or not a directed graph has a road coloring that turns the graph into a synchronizing deterministic finite automaton (DFA). The algorit...

2009
Kishore Yadav Satish Varagani Kishore Kothapalli

An acyclic vertex coloring of a graph is a proper vertex coloring such that there are no bichromatic cycles. The acyclic chromatic number of G, denoted a(G), is the minimum number of colors required for acyclic vertex coloring of graph G = (V,E). For a family F of graphs, the acyclic chromatic number of F , denoted by a(F), is defined as the maximum a(G) over all the graphs G ∈ F . In this pape...

Journal: :Discrete Mathematics 2009
Kishore Yadav Satish Varagani Kishore Kothapalli V. Ch. Venkaiah

An acyclic vertex coloring of a graph is a proper vertex coloring such that there are no bichromatic cycles. The acyclic chromatic number of G, denoted a(G), is the minimum number of colors required for acyclic vertex coloring of a graph G = (V,E). For a family F of graphs, the acyclic chromatic number of F , denoted by a(F ), is defined as the maximum a(G) over all the graphs G ∈ F . In this p...

Journal: :Math. Program. Comput. 2012
Stephan Held William J. Cook Edward C. Sewell

The best method known for determining lower bounds on the vertex coloring number of a graph is the linear-programming column-generation technique, where variables correspond to stable sets, first employed by Mehrotra and Trick in 1996. We present an implementation of the method that provides numerically-safe results, independent of the floating-point accuracy of linear-programming software. Our...

Journal: :Discrete Mathematics & Theoretical Computer Science 2014
Hal A. Kierstead Karin Rebecca Saoub

Dynamic Storage Allocation is a problem concerned with storing items that each have weight and time restrictions. Approximate algorithms have been constructed through online coloring of interval graphs. We present a generalization that uses online coloring of tolerance graphs. We utilize online-with-representation algorithms on tolerance graphs, which are online algorithms in which the correspo...

Journal: :Theor. Comput. Sci. 2003
Sylvie Corteel Mario Valencia-Pabon Danièle Gardy Dominique Barth Alain Denise

In this paper we rst show that the permutation-path coloring problem is NP-hard even for very restrictive instances like involutions, which are permutations that contain only cycles of length at most two, on both binary trees and on trees having only two vertices with degree greater than two, and for circular permutations which are permutations that contain exactly one cycle on trees with maxim...

2005
Khaing Khaing Kyi Win Weng-Fai Wong

Linear scan register allocation is an attractive register allocation algorithm because of its simplicity and fast running time. However, it is generally felt that linear scan register allocation yields poorer code than allocation schemes based on graph coloring. In this paper, we propose a pre-pass instruction scheduling algorithm that improves on the code quality of linear scan allocators. Our...

Journal: :Electronic Notes in Discrete Mathematics 2005
Benjamin Lévêque Frédéric Maffray

A Meyniel graph is a graph in which every odd cycle of length at least five has two chords. We present a linear-time algorithm that colors optimally the vertices of a Meyniel graph and finds a clique of maximum size.

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