This completes the complexity classification problem for QCSPs modulo that co-NP-hard cases might have complexity rising up to Pspace-complete. Such a problem is either in NP or is co-NP-hard, and the borderline is given precisely according to whether A enjoys the polynomially-generated powers (PGP) property. We elaborate the complexity of the Quantified Constraint Satisfaction Problem, QCSP(A), where A is a finite idempotent algebra. QCSP monsters and the future of the Chen Conjecture The talk also includes joint work with D. Moreover, we will discuss the relation of the Helly Clique Problem with the recognition problems of so-called H-graphs in particular, in the context of those graphs H for which the recognition problem remains open. admits a polynomial kernel of size O(k 6). admits an algorithm with running time 2 O(k log k)poly(n) (and hence it belongs to FPT), We will show that the Helly Clique Problem: In the talk we will consider the Helly Clique Problem in the context of parameterized complexity, where the natural parameter is the number of cliques given in the input.
We know that the Helly Clique Problem is NP-complete and, under the ETH, it can not be solved in time 2 o(k)poly(n), where n is the number of vertices of G (Ağaoğlu et al.). In the Helly Clique Problem, for a given circular-arc graph G and some of its cliques C 1.,C k (not necessarily maximal in G) one needs to decide whether there exists a circular-arc representation of G in which all the cliques C 1.,C k satisfy the Helly property. In particular, some cliques of a circular-arc G graph may satisfy the Helly property in some but not all circular-arc representations of G. there are circular-arc graphs in which some cliques can be represented by arcs whose common intersection is empty). Joint works with Laurent Feuilloley and Théo PierronĬircular-arc graphs and the Helly propertyĬircular-arc graphs, defined as the intersection graphs of arcs of a fixed circle, are probably one of the simplest classes of intersection graphs, which does not satisfy the Helly property in general (i.e. We will also discuss many open problems related to local certification of/on sparse graph classes. the MSO-model checking problem), and show a local version of the well-known Courcelle theorem: in bounded treedepth graphs, logarithmic certificates can be obtained for any MSO formula. More generally, we consider classes defined by any MSO formula (i.e. We present some generic tools which allow us to certify the H-minor-free graphs (with logarithmic labels) for each small enough H.
#ASYMPTOTA FUNKCJI ZADANIA FREE#
It is open if such a certificate exist for any H-minor free graph class.
Such certifications exist for many sparse graph classes such as trees, planar graphs and graphs embedded on surfaces with labels of logarithmic size. In this talk, our goal is to certify that a graph G belongs to a given graph class. Local certification consists in assigning labels to the nodes of a graph in order to certify that some given property is satisfied, in such a way that the labels can be checked locally. In particular, the agent’s decision may be non-monotone in the state of the world.Local certification of/on sparse graph classes I show that for a large class of parameters there exists an equilibrium, in which the expert (upon delegation) can correctly understand “cues” and tailor the action to the manager’s needs. Even if the principal’s information acquisition and the signal are unobservable, the delegation, combined with private information, allows the agent to extract some signal about the tacit information. After observing the signal, he may choose the action or delegate to the expert, who observes the state of the world perfectly.
The manager has some tacit knowledge, which he cannot communicate and may acquire some imperfect, costly signal about the state of the world. A principal (manager) consults an agent (expert) to choose one of two actions. The model is analyzed in the context of decision-making in teams. TI examine the issue of implicit signaling of inexpressible type through delegation in a communication game with perfectly aligned preferences, two-sided private information, and communication frictions.
#ASYMPTOTA FUNKCJI ZADANIA FULL#
Proszę przygotować pytania :)ĭelegation as a signal: implicit communication with full cooperation Jeszcze trochę o układach (notatki dorzucę do ćw. Ćwiczenia 10: Wektory i podprzestrzenie liniowe w R^2 i R^3. Ćwiczenia 9: (nieobecność) Całki oznaczone. Ćwiczenia 2: Funkcje i ich dziedziny, granice i asymptoty. Undergraduate course, Warsaw School of Economics, 2018
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