[PDF] Top 20 Treewidth: algorithmic, combinatorial, and practical aspects
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Treewidth: algorithmic, combinatorial, and practical aspects
... networks, and energy distribution ...time and energy as we need to unload the goods and reload ...fibers, and satellite ...tion) and wireless local area networks (WLAN), constitutes ... Voir le document complet
219
Treewidth and Hyperbolicity of the Internet
... better algorithmic solutions when the input is a graph with some known properties rather than an arbitrary ...low): treewidth and ...connectivity and distances, ... Voir le document complet
9
An introduction to Topological Data Analysis: fundamental and practical aspects for data scientists
... statistical and algorithmic methods to infer, analyze and exploit the complex topological and geometric structures underlying data that are often represented as point clouds in Euclidean or ... Voir le document complet
39
Algorithmic aspects of graph colourings heuristics
... programming and the weak perfect graph theorem (The first two may be found in classical combinatorial optimization books like the one from Nemhauser and Wolsey [105] while the third may be found in ... Voir le document complet
135
To Approximate Treewidth, Use Treelength!
... large treewidth, while it is hyperbolic [1, 14], and so, it has bounded treelength ...relating treewidth and treelength is that such relations can improve the best-known complexities for their ... Voir le document complet
14
The Treewidth of Java Programs
... le treewidth de Java programmes sans ...le treewidth du graphe de flux de contrôla n’est pas plus que ...du treewidth à l’optimisation dans les ... Voir le document complet
15
Speciation and quantitation of precious metals in model acidic leach liquors, theoretical and practical aspects of recycling
... deposit and dissemination of sci- entific research documents, whether they are pub- lished or ...teaching and research institutions in France or abroad, or from public or private research ... Voir le document complet
26
Combinatorial Designs and Availability
... V (J(γ)) = V( e J(γ)) = 2B(B − 1) π(γ 2 ) − π 2 (γ) , which is (40). 7.2 Filtered Random Algorithm Another natural way to generate a random set system with B blocks is to choose B elements among the M := V K possible ... Voir le document complet
46
Kolmogorov Complexity and Algorithmic Randomness
... root and consider those of them who currently do not have a reserved interval; by a reserved interval for vertex x we mean an interval of size e that contains some space allocated to x and which does not ... Voir le document complet
520
Practical aspects of the Moreau-Yosida regularization I : theoretical properties
... Unite´ de recherche INRIA Lorraine, Technopoˆle de Nancy-Brabois, Campus scientifique, 615 rue du Jardin Botanique, BP 101, 54600 VILLERS LE`S NANCY Unite´ de recherche INRIA Rennes, Iri[r] ... Voir le document complet
23
On treewidth and related parameters of random geometric graphs *
... order, and an upper bound of O(log n) is also easy, since O(log n) is an upper bound for the size of the largest ...the treewidth is bounded by a constant (see [22]), whereas our theorems show that in G(n, ... Voir le document complet
24
Algorithmic Regulation
... interests and values which the fundamental right to data protection seeks to protect, and hence the normative and moral force with which we associate fundamental rights, are not so readily and ... Voir le document complet
50
Edge degeneracy: Algorithmic and structural results
... G and two incident edges e and f of G ...e and f in G is the graph obtained from G after removing e and f and then adding the edge formed by the symmetric difference of e and f ... Voir le document complet
18
Algorithmic and game-theoretic perspectives on scheduling
... consider the family of 0-1 bipartite instances. In an effort to better understand the properties of this simple but important class of instances, we study these instances from a probabilistic lens. One appealing feature ... Voir le document complet
110
Optimal algorithmic trading and market microstructure
... 3.3.3 Opportunistic algorithms They seek to take advantage whenever market conditions (price, liquidity, volatility or another factor) are favorable. Price Inline (PI) algorithms are based on an impact-driven trading ... Voir le document complet
49
Combinatorial substitutions and sofic tilings
... Substitutions provide a simple way to express how a set of tilings can be ob- tained by iteratively constructing bigger and bigger aggregates of tiles. The strong hierarchical structure of substitutions tilings ... Voir le document complet
18
On the treewidth and related parameters of random geometric graphs
... networks. Network agents are represented by the vertices of the graph, and direct connectivity is represented by edges. For applications of random geometric graphs, we refer to Chapter 3 of [10], and for a ... Voir le document complet
22
Algorithmic embeddings
... We present results for different types of distortion: multiplicative versus additive, worst-case versus average-case and several types of target metrics, such as the lin[r] ... Voir le document complet
242
Secret Sharing and Algorithmic Information Theory
... ball and a kicker taking the shot who wants to score a ...choice and select a private strategy which consist of one of two options: left or right (the possible choices are the same for both ...– and ... Voir le document complet
140
View of Research in ICU: consent and information. Part II: practical and legal aspects
... written and freely signed well-informed consent, whereas observatio- nal and current care interventional studies require simple information, the person being given the option to refuse par- ...layperson ... Voir le document complet
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