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Academic literature on the topic 'Arbre des suffixes'
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Journal articles on the topic "Arbre des suffixes"
"Investigations on the reciprocal ternary system (±)-2-phenylpropionic acid–(±)-α-methylbenzylamine. Impact of an unstable racemic compound on the simultaneous resolution of chiral acids and bases by preferential crystallisationElectronic supplementary information (ESI) available: examination of the crystal growth paths for racemic solutions and the case of non-racemic solutions—application to the PC. See http://www.rsc.org/suppdata/p2/b1/b100706h/Glossary: A Acidic ion. A Configuration of a ladder; the chiral ion(s) of the ion pair at the top has (have) the right absolute configuration. AS3PC Auto-seeded programmed polythermic preferential crystallisation. B Basic ion. c Concentration. csat Concentration of a saturated solution. conglo Conglomerate. CCI Chiral counter-ion. DIPE Diisopropyl ether. eefmax Maximum ee of the mother liquor at the end of the entrainment effect. E Percentage of rungs formed [= (i – 2q)/i]. EhklP/N Set of ratios of the homochiral (R–R or S–S) interaction energies over the heterochiral (R–S) interaction energies at the (hkl) crystal–mother liquor interfaces. E(Pmaxi – 2q) Most probable percentage of rungs formed. F0D2 Desorption mechanism (0 bonds are formed, 2 bonds are destroyed). F2D0 Adsorption mechanism (2 bonds are formed, 0 bonds are destroyed). F3D1 Insertion mechanism (3 bonds are formed, 1 bond is destroyed). (F3D1)n Succession of several F3D1 mechanisms. i Number of events. IPBC Ionic periodic bond chain. j Suffix which defines the columns of the triangular tables. K Equilibrium constant of the double decomposition reaction. M Configuration of a ladder; only one of the two chiral ions of the ion pair at the top has the right absolute configuration. n Salt composed of A(+)B(–) ion pairs (n also refers to a single ion pair A(+)B(–)). n′ Salt composed of A(–)B(+) ion pairs (n′ also refers to a single ion pair A(–)B(+)). N Configuration of a ladder; only one of the two chiral ions of the ion pair at the top has the right absolute configuration. NCCI Non-chiral counter-ion. OP Optical purity. p Salt composed of A(+)B(+) ion pairs (p also refers to a single ion pair A(+)B(+)). p′ Salt composed of A(–)B(–) ion pairs (p′ also refers to a single ion pair A(–)B(–)). PC Preferential crystallisation. Pi – 2q Probability of the formation of i – 2q rungs, whatever the configuration (A, M, N or Z) of the ladder. q Integer number ranging from 0 to i/2, used to define the possible numbers of rungs formed for i events (i – 2q). rac Racemic compound. RA Relative advantage (of the racemic compound); [= (E(Pmaxi – 2q)rac – E(Pmaxi – 2q)conglo)/E(Pmaxi – 2q)conglo]. TL Temperature of dissolution of the racemic mixture. Thomo Temperature at which the whole mixture (partially enriched) is dissolved. TB Temperature of the starting point of the PC (TL < TB < Thomo). TF Temperature of filtration. Uij Values of the triangular tables. Probability of reaching the situation (xX) corresponding to the jth column of a triangular table when i events occurred. (xX) Situation of a ladder; x: number of rungs formed, X = A, M, N or Z. XRPD X-Ray powder diffraction. Z Configuration of a ladder; the chiral ion(s) of the ion pair at the top has (have) the wrong absolute configuration. β Supersaturation (= c/csat). ΔE Interval of E for which ΣPi – 2q ≥ 99%. π Ion pair ARBR (π also refers to the salt composed of these pairs). π′ Ion pair ASBS (π′ also refers to the salt composed of these pairs). ν Ion pair ARBS (ν also refers to the salt composed of these pairs). ν′ Ion pair ASBR (ν′ also refers to the salt composed of these pairs). ΣPi – 2q Sum of the probabilities Pi – 2q for several possible numbers of rungs formed i – 2q." Journal of the Chemical Society, Perkin Transactions 2, № 10 (7 вересня 2001): 2022–36. http://dx.doi.org/10.1039/b100706h.
Full textDissertations / Theses on the topic "Arbre des suffixes"
Fayolle, Julien. "Compression de données sans perte et combinatoire analytique." Paris 6, 2006. http://www.theses.fr/2006PA066028.
Full textJullian, Yann. "Représentation géométrique des systèmes dynamiques substitutifs par substitutions d'arbre." Aix-Marseille 2, 2009. http://theses.univ-amu.fr.lama.univ-amu.fr/2009AIX22065.pdf.
Full textWe study ways of giving geometric representation to symbolic substitutive systems when the substitution is invertible. First, we analyse the combinatorics of the generated symbolic systems. Using the prefix-suffix automata, we bring out pairs of bi-infinite words which are equal for each positive or equal (resp. Negative) index. Tree substitutions are introduced. On the combinatorial side, they can be seen as generalisations of substitutions on words. From a metric point of view, they are to define self-similar fractal real trees efficiently. Results on tree substitutions are then joined with the study of group actions on real trees that are used to describe the dynamics of automorphisms of the free group. We construct (on two sets of examples) real trees using tree susbstitutions, and we define domains exchanges conjugate to substitutive systems
Cénac, Peggy. "Récursivité au carrefour de la modélisation de séquences, des arbres aléatoires, des algorithmes stochastiques et des martingales." Habilitation à diriger des recherches, Université de Bourgogne, 2013. http://tel.archives-ouvertes.fr/tel-00954528.
Full textTempel, Sébastien. "Dynamique des hélitrons dans le genome d'Arabidopsis thaliana : développement de nouvelles stratégies d'analyse des éléments transposables." Phd thesis, Université Rennes 1, 2007. http://tel.archives-ouvertes.fr/tel-00185256.
Full textMondal, Kartick Chandra. "Algorithmes pour la fouille de données et la bio-informatique." Thesis, Nice, 2013. http://www.theses.fr/2013NICE4049.
Full textKnowledge pattern extraction is one of the major topics in the data mining and background knowledge integration domains. Out of several data mining techniques, association rule mining and bi-clustering are two major complementary tasks for these topics. These tasks gained much importance in many domains in recent years. However, no approach was proposed to perform them in one process. This poses the problems of resources required (memory, execution times and data accesses) to perform independent extractions and of the unification of the different results. We propose an original approach for extracting different categories of knowledge patterns while using minimum resources. This approach is based on the frequent closed patterns theoretical framework and uses a novel suffix-tree based data structure to extract conceptual minimal representations of association rules, bi-clusters and classification rules. These patterns extend the classical frameworks of association and classification rules, and bi-clusters as data objects supporting each pattern and hierarchical relationships between patterns are also extracted. This approach was applied to the analysis of HIV-1 and human protein-protein interaction data. Analyzing such inter-species protein interactions is a recent major challenge in computational biology. Databases integrating heterogeneous interaction information and biological background knowledge on proteins have been constructed. Experimental results show that the proposed approach can efficiently process these databases and that extracted conceptual patterns can help the understanding and analysis of the nature of relationships between interacting proteins