Sommets interdits et obligatoires

International audienceUne instance du problème est un graphe, un ensemble F de sommets interdits et un ensemble R de sommets obligatoires. Nous montrons que construire un vertex cover, connexe ou pas, de taille minimale, contenant tous les sommets de R et aucun sommet de F, peut être 2-approché (s'il existe). Nous montrons aussi que décider s'il existe ou pas un ensemble dominant indépendant contenant tout R et aucun sommet de F est NP-complet

Gouvernance et environnement des petites et moyennes entreprises

http://www.annalesdelarechercheurbaine.fr/IMG/pdf/Roche_ARU_86.pdfNational audienceLes petites et moyennes entreprises ont rarement les moyens de maîtriser les nuisances urbaines qu'elles provoquent. L'introduction de technologies propres dans les processus productifs suscite la création d'instances locales de coopération entre les entreprises. A l'incitation des pouvoirs publics, des stations collectives d'épuration ont vu le jour dans le secteur des industries de traitement de surface. Le traitement préventif des pollutions par une bonne gouvernance est préféré à la répression ex-post par les fonctionnaires spécialisés

Constructing Incremental Sequences in Graphs

Given a weighted graph , we investigate the problem of constructing a sequence of subsets of vertices (called groups) with small diameters, where the diameter of a group is calculated using distances in G. The constraint on these n groups is that they must be incremental: . The cost of a sequence is the maximum ratio between the diameter of each group Mi and the diameter of a group with I vertices and minimum diameter: . This quantity captures the impact of the incremental constraint on the diameters of the groups in a sequence. We give general bounds on the value of this ratio and we prove that the problem of constructing an optimal incremental sequence cannot be solved approximately in polynomial time with an approximation ratio less than 2 unless P = NP. Finally, we give a 4-approximation algorithm and we show that the analysis of our algorithm is tight

Méthodes exactes et approchées par partition en cliques de graphes

Cette thèse se déroule au sein du projet ToDo (Time versus Optimality in discrete Optimization ANR 09-EMER-010) financé par l'Agence Nationale de la Recherche. Nous nous intéressons à la résolution exacte et approchée de deux problèmes de graphes. Dans un souci de compromis entre la durée d'exécution et la qualité des solutions, nous proposons une nouvelle approche par partition en cliques qui a pour but (1) de résoudre de manière rapide des problèmes exacts et (2) de garantir la qualité des résultats trouvés par des algorithmes d'approximation. Nous avons combiné notre approche avec des techniques de filtrage et une heuristique de liste. Afin de compléter ces travaux théoriques, nous avons implémenté et comparé nos algorithmes avec ceux existant dans la littérature. Dans un premier temps, nous avons traité le problème de l'indépendant dominant de taille minimum. Nous résolvons de manière exacte ce problème et démontrons qu'il existe des graphes particuliers dans lesquels le problème est 2-approximable. Dans un second temps nous résolvons par un algorithme exact et un algorithme d'approximation le problème du vertex cover et du vertex cover connexe. Puis à la fin de cette thèse, nous avons étendu nos travaux aux problèmes proches, dans des graphes comprenant des conflits entre les sommets.This thesis takes place in the project ToDo 2 funded by the french National Research Agency. We deal with the resolution of two graph problems, by exact and approximation methods. For the sake of compromise between runtime and quality of the solutions, we propose a new approach by partitioning the vertices of the graph into cliques, which aims (1) to solve problems quickly with exact algortihms and (2) to ensure the quality if results with approximation algorithms. We combine our approach with filtering techniques and heuristic list. To complete this theoretical work, we implement our algorithms and compared with those existing in the literature. At the first step, we discuss the problem of independent dominating of minimum size. We solve this problem accurately and prove that there are special graphs where the problem is 2-approximable. In the second step, we solve by an exact algorithm and an approximation algorithm, the vertex cover problem and the connected vertex cover problem. Then at the end of this thesis, we extend our work to the problems in graphs including conflicts between vertices.CLERMONT FD-Bib.électronique (631139902) / SudocSudocFranceF

Algorithmes d'approximation à mémoire limitée pour le traitement de grands graphes (le problème du Vertex Cover)

Nous nous sommes intéressés à un problème d'optimisation sur des graphes (le problème du Vertex Cover) dans un contexte bien particulier : celui des grandes instances de données. Nous avons défini un modèle de traitement se basant sur trois contraintes (en relation avec la quantité de mémoire limitée, par rapport à la grande masse de données à traiter) et qui reprenait des propriétés issus de plusieurs modèles existants. Nous avons étudié plusieurs algorithmes adaptés à ce modèle. Nous avons analysé, tout d'abord de façon théorique, la qualité de leurs solutions ainsi que leurs complexités. Nous avons ensuite mené une étude expérimentale sur de gros graphes. De manière générale, les travaux menés durant cette thèse peuvent fournir des indicateurs pour choisir le ou les algorithmes qui conviennent le mieux pour traiter le problème du vertex cover sur de gros graphes. Choisir un algorithme (qui plus est d'approximation) qui soit à la foisperformant (en terme de qualité de solution et de complexité) et qui satisfasse les contraintes du modèle que l'on considère est délicat. en effet, les algorithmes les plus performants ne sont pas toujours les mieux adaptés. dans les travaux que nous avons réalisés, nous sommes parvenus à la conclusion qu'il est préférable de choisir au départ l'algorithme qui est le mieux adapté plutôt que de choisir celui qui est le plus performant.We are interested to an optimization problem on graphs (the Vertex Cover problem) in a very specific context : the huge instances of data. We defined a treatment model based on three constraints (in connection with the limited amount of memory compared to the huge amount of data to be processed) and that reproduces properties from several existing models. We studied several algorithms adapted to this model. We examined, first theoretically, their solutions quality and their complexities. We then conducted an experimental study on large graphs. In general, the work made during this thesis may provide indicators for select algorithms that are best suited to resolve the Vertex Cover problem on large graphs. Choose an algorithm (which is approximated) that is both efficient (in terms of quality of solution and complexity) and satisfies the constraints model whether we consider is tricky. in fact, the most efficient algorithms are not always the best adapted. In the work we have done, we reached the conclusion that, at the beginning, it is best to choose the best suited algorithm rather than the more efficient.EVRY-Bib. électronique (912289901) / SudocSudocFranceF

Using error correction to determine the noise model

Quantum error correcting codes have been shown to have the ability of making quantum information resilient against noise. Here we show that we can use quantum error correcting codes as diagnostics to characterise noise. The experiment is based on a three-bit quantum error correcting code carried out on a three-qubit nuclear magnetic resonance (NMR) quantum information processor. Utilizing both engineered and natural noise, the degree of correlations present in the noise affecting a two-qubit subsystem was determined. We measured a correlation factor of c=0.5+/-0.2 using the error correction protocol, and c=0.3+/-0.2 using a standard NMR technique based on coherence pathway selection. Although the error correction method demands precise control, the results demonstrate that the required precision is achievable in the liquid-state NMR setting.Comment: 10 pages, 3 figures. Added discussion section, improved figure

Constructing Incremental Sequences in Graphs

Given a weighted graph $G=(V,E,w)$, we investigate the problem of constructing a sequence of $n=|V|$ subsets of vertices $M_1,...,M_n$ (called groups) with small diameters, where the diameter of a group is calculated using distances in $G$. The constraint on these $n$ groups is that they must be incremental: M_1\subsetM_2 \subset...\subsetM_n=V. The cost of a sequence is the maximum ratio between the diameter of each group $M_i$ and the diameter of a group $N_i^*$ with $i$ vertices and minimum diameter: \max_2 \leqi \leqn \left{ \fracD(M_i)D(N_i^*) \right}. This quantity captures the impact of the incremental constraint on the diameters of the groups in a sequence. We give general bounds on the value of this ratio and we prove that the problem of constructing an optimal incremental sequence cannot be solved approximately in polynomial time with an approximation ratio less than 2 unless $P = NP$. Finally, we give a 4-approximation algorithm and we show that the analysis of our algorithm is tight

The impact of surgical delay on resectability of colorectal cancer: An international prospective cohort study

AIM: The SARS-CoV-2 pandemic has provided a unique opportunity to explore the impact of surgical delays on cancer resectability. This study aimed to compare resectability for colorectal cancer patients undergoing delayed versus non-delayed surgery. METHODS: This was an international prospective cohort study of consecutive colorectal cancer patients with a decision for curative surgery (January-April 2020). Surgical delay was defined as an operation taking place more than 4 weeks after treatment decision, in a patient who did not receive neoadjuvant therapy. A subgroup analysis explored the effects of delay in elective patients only. The impact of longer delays was explored in a sensitivity analysis. The primary outcome was complete resection, defined as curative resection with an R0 margin. RESULTS: Overall, 5453 patients from 304 hospitals in 47 countries were included, of whom 6.6% (358/5453) did not receive their planned operation. Of the 4304 operated patients without neoadjuvant therapy, 40.5% (1744/4304) were delayed beyond 4 weeks. Delayed patients were more likely to be older, men, more comorbid, have higher body mass index and have rectal cancer and early stage disease. Delayed patients had higher unadjusted rates of complete resection (93.7% vs. 91.9%, P = 0.032) and lower rates of emergency surgery (4.5% vs. 22.5%, P < 0.001). After adjustment, delay was not associated with a lower rate of complete resection (OR 1.18, 95% CI 0.90-1.55, P = 0.224), which was consistent in elective patients only (OR 0.94, 95% CI 0.69-1.27, P = 0.672). Longer delays were not associated with poorer outcomes. CONCLUSION: One in 15 colorectal cancer patients did not receive their planned operation during the first wave of COVID-19. Surgical delay did not appear to compromise resectability, raising the hypothesis that any reduction in long-term survival attributable to delays is likely to be due to micro-metastatic disease

Hardness Results and Approximation Algorithms for Discrete Optimization Problems with Conditional and Unconditional Forbidden Vertices

In this paper we study and solve new variants of classical graph problems (vertex cover, dominating set, Steiner tree). We add constraints of incompatibilities between vertices that can be conditional or unconditional. This capture the impossibility for certain vertices or pairs of vertices of been into a solution. In the first part, we consider a graph with unconditional forbidden vertices. An instance of the problem is a graph, a set F of Forbidden vertices and a set R of Required vertices. We prove that constructing a minimal size vertex cover or connected vertex cover or dominating set or Steiner tree, containing all R and no vertex of F can be 2-approximated (when there exists one, that is polynomial to determine). We also show that it is N P-complete to determine whether there is an independent dominating set (containing R and no vertex of F). In the second part, we carry on the conditional case that is expressed by conflicts that are a set of pairs of vertices that cannot be both into a solution. An instance is then a graph G and a set C of conflicts. We first study the question to know whether there is a vertex cover of G containing no conflict of C and if the answer is positive to construct one of minimal size. We reduce that to 2-SAT and we show that the first question can be answered with a polynomial time algorithm. We show that the second problem is N P-complete but can be 2-approximated. We also prove that it is N P-complete to decide if there exists a connected vertex cover, an (independent) dominating set or a Steiner tree with no conflict of C