• Aucun résultat trouvé

Blockchain Abstract Data Type

N/A
N/A
Protected

Academic year: 2021

Partager "Blockchain Abstract Data Type"

Copied!
31
0
0

Texte intégral

Figure

Figure 1: A possible path of the transition system defined by the BT-ADT. We use the following syntax on the edges: operation/output.
Figure 2 shows a concurrent history H admissible by the BT Strong consistency criterion
Figure 3: Concurrent history that satisfies the Eventual BT consistency criterion. In such scenario f selects the longest blockchain and the blockchain score is the length l
Figure 4: Concurrent history that does not satisfy any BT consistency criteria. In such scenario f selects the longest blockchain and the blockchain score is the length l.
+7

Références

Documents relatifs

Finally, the seven amino acid extrahelical 3¢- ¯ap pocket mutant Fen1 (LQTKFSR) showed a similar altered cleavage pattern to the Fen1 (LTFR) mutant and with the

This is an important observation, because as (2) implies the Principal Principle, it gives us a hint how to construct in the sections below the extension Rédei and Gyenis re- quire

The proposed integrated index reflects the consistent (ideal) GDP structure inherent in the post-industrial economy, while the deviation of the values in the real

This paper focuses on the quality control of the Southern Ocean data from the Pacific sector which consisted of 29 cruises of which 17 were included in a previous synthesis

La modélisation par le modèle neuro-flou pour la relation pluie-débit à l’échelle journalière est prometteuse, et les résultats de simulation obtenus sur le sous

Azerbaijan; Conselho Nacional de Desenvolvimento Cient´ıfico e Tecnol´ogico (CNPq), Universidade Federal do Rio Grande do Sul (UFRGS), Financiadora de Estudos e Projetos (Finep)

It is compared to logistic regression fitted by maximum likelihood (ignoring unlabeled data) and logistic regression with all labels known.. The former shows what has been gained

Pfanzagl gave in [Pfa88, Pfa90] a proof of strong consistency of asymptotic max- imum likelihood estimators for nonparametric “concave models” with respect to the.. 1 The