Demonic Kleene Algebra

Nous rappelons d’abord le concept d’algèbre de Kleene avec domaine (AKD). Puis, nous expliquons comment utiliser les opérateurs des AKD pour définir un ordre partiel appelé raffinement démoniaque ainsi que d’autres opérateurs démoniaques (plusieurs de ces définitions proviennent de la littérature). Nous cherchons à comprendre comment se comportent les AKD munies des opérateurs démoniaques quand on exclut les opérateurs angéliques usuels. C’est ainsi que les propriétés de ces opérateurs démoniaques nous servent de base pour axiomatiser une algèbre que nous appelons Algèbre démoniaque avec domaine et opérateur t-conditionnel (ADD-[opérateur t-conditionnel]). Les lois des ADD-[opérateur t-conditionnel] qui ne concernent pas l’opérateur de domaine correspondent à celles présentées dans l’article Laws of programming par Hoare et al. publié dans la revue Communications of the ACM en 1987. Ensuite, nous étudions les liens entre les ADD-[opérateur t-conditionnel] et les AKD munies des opérateurs démoniaques. La question est de savoir si ces structures sont isomorphes. Nous démontrons que ce n’est pas le cas en général et nous caractérisons celles qui le sont. En effet, nous montrons qu’une AKD peut être transformée en une ADD-[opérateur t-conditionnel] qui peut être transformée à son tour en l’AKD de départ. Puis, nous présentons les conditions nécessaires et suffisantes pour qu’une ADD-[opérateur t-conditionnel] puisse être transformée en une AKD qui peut être transformée à nouveau en l’ADD-[opérateur t-conditionnel] de départ. Les conditions nécessaires et suffisantes mentionnées précédemment font intervenir un nouveau concept, celui de décomposition. Dans un contexte démoniaque, il est difficile de distinguer des transitions qui, à partir d’un même état, mènent à des états différents. Le concept de décomposition permet d’y arriver simplement. Nous présentons sa définition ainsi que plusieurs de ses propriétés.We first recall the concept of Kleene algebra with domain (KAD). Then we explain how to use the operators of KAD to define a demonic refinement ordering and demonic operators (many of these definitions come from the literature). We want to know how do KADs with the demonic operators but without the usual angelic ones behave. Then, taking the properties of the KAD-based demonic operators as a guideline, we axiomatise an algebra that we call Demonic algebra with domain and t-conditional (DAD-[opérateur t-conditionnel]). The laws of DAD-[opérateur t-conditionnel] not concerning the domain operator agree with those given in the 1987 Communications of the ACM paper Laws of programming by Hoare et al. Then, we investigate the relationship between DAD-[opérateur t-conditionnel] and KAD-based demonic algebras. The question is whether every DAD-[opérateur t-conditionnel] is isomorphic to a KAD-based demonic algebra. We show that it is not the case in general. However, we characterise those that are. Indeed, we demonstrate that a KAD can be transformed into a DAD-[opérateur t-conditionnel] which can be transformed back into the initial KAD. We also establish necessary and sufficient conditions for which a DAD-[opérateur t-conditionnel] can be transformed into a KAD which can be transformed back into the initial DAD-[opérateur t-conditionnel]. Finally, we define the concept of decomposition. This notion is involved in the necessary and sufficient conditions previously mentioned. In a demonic context, it is difficult to distinguish between transitions that, from a given state, go to different states. The concept of decomposition enables to do it easily. We present its definition together with some of its properties

Minimizing the Continuous Diameter when Augmenting Paths and Cycles with Shortcuts

We seek to augment a geometric network in the Euclidean plane with shortcuts to minimize its continuous diameter, i.e., the largest network distance between any two points on the augmented network. Unlike in the discrete setting where a shortcut connects two vertices and the diameter is measured between vertices, we take all points along the edges of the network into account when placing a shortcut and when measuring distances in the augmented network. We study this network augmentation problem for paths and cycles. For paths, we determine an optimal shortcut in linear time. For cycles, we show that a single shortcut never decreases the continuous diameter and that two shortcuts always suffice to reduce the continuous diameter. Furthermore, we characterize optimal pairs of shortcuts for convex and non-convex cycles. Finally, we develop a linear time algorithm that produces an optimal pair of shortcuts for convex cycles. Apart from the algorithms, our results extend to rectifiable curves. Our work reveals some of the underlying challenges that must be overcome when addressing the discrete version of this network augmentation problem, where we minimize the discrete diameter of a network with shortcuts that connect only vertices

Probing Convex Polygons with a Wedge

Minimizing the number of probes is one of the main challenges in reconstructing geometric objects with probing devices. In this paper, we investigate the problem of using an $\omega$-wedge probing tool to determine the exact shape and orientation of a convex polygon. An $\omega$-wedge consists of two rays emanating from a point called the apex of the wedge and the two rays forming an angle $\omega$. To probe with an $\omega$-wedge, we set the direction that the apex of the probe has to follow, the line $\overrightarrow L$, and the initial orientation of the two rays. A valid $\omega$-probe of a convex polygon $O$ contains $O$ within the $\omega$-wedge and its outcome consists of the coordinates of the apex, the orientation of both rays and the coordinates of the closest (to the apex) points of contact between $O$ and each of the rays. We present algorithms minimizing the number of probes and prove their optimality. In particular, we show how to reconstruct a convex $n$-gon (with all internal angles of size larger than $\omega$) using $2n-2$ $\omega$-probes; if $\omega = \pi/2$, the reconstruction uses $2n-3$ $\omega$-probes. We show that both results are optimal. Let $N_B$ be the number of vertices of $O$ whose internal angle is at most $\omega$, (we show that $0 \leq N_B \leq 3$). We determine the shape and orientation of a general convex $n$-gon with $N_B=1$ (respectively $N_B=2$, $N_B=3$) using $2n-1$ (respectively $2n+3$, $2n+5$) $\omega$-probes. We prove optimality for the first case. Assuming the algorithm knows the value of $N_B$ in advance, the reconstruction of $O$ with $N_B=2$ or $N_B=3$ can be achieved with $2n+2$ probes,- which is optimal.Comment: 31 pages, 27 figure