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Seminar Algorithms

Research seminar (Fridays, at 14.15 in room 5060)

For schedule or link to online meetings, see https://semalgo.wordpress.com/

If you want to get notifications, sign up to the mailing list algorytmy@mimuw.edu.pl 

Rules for PhD studens: https://www.mimuw.edu.pl/~mp248287/algorithmsSeminarRules.pdf

Google calendar: https://calendar.google.com/calendar/embed?src=q1pbv62cra5jf9satch9ip49ms%40group.calendar.google.com&ctz=Europe%2FWarsaw

YouTube channel: https://www.youtube.com/playlist?list=PLzdZSKerwrXpfAgaKQpsH8ElCik3pINPp


Organizers

Information

Fridays, 2:15 p.m. , room: 5060

Home page

https://semalgo.wordpress.com/

List of talks

  • Oct. 24, 2019, 12:15 p.m.
    Krzysztof Nowicki (UWr)
    Faster Algorithms for Edge Connectivity via Random 2-Out Contractions
    We provide a simple new randomized contraction approach to the global minimum cut problem for simple undirected graphs. The contractions exploit 2-out edge sampling from each vertex rather than the standard uniform edge sampling. We …

  • Oct. 17, 2019, 12:15 p.m.
    Stéphane Bessy (LIRMM Montpellier)
    Triangle and cycle packing in tournaments: complexity and algorithms
    Given a tournament T and a positive integer k, we study different question dealing with packing (oriented) cycles in tournament: does T contain k vertex-disjoint cycles (k-VCT)? k arc-disjoint cycles (k-ACT)? k-arc-disjoint triangles (k-ATT)?, where …

  • Oct. 10, 2019, 12:15 p.m.
    Edouard Bonnet (ENS Lyon)
    Parameterized Complexity of Grundy Coloring and its variants
    (Connected/Partial/Weak) Grundy Coloring, b-Coloring, b-Chromatic Core, etc. are maximization coloring problems, where one asks for the worst case of a first-fit coloring strategy. They were introduced to analyze if some coloring heuristics have performance guarantee. …

  • June 19, 2019, 12:15 p.m.
    Karol Węgrzycki (MIMUW)
    Recent Progress on Approximate APSP
    In this talk we prove the equivalence of computing the approximate (min,+)-product of two $n \times n$ matrices with arbitrary values and (min,max)-product. This yields a first subcubic strongly polynomial approximation for the all-pairs shortest …

  • June 13, 2019, 12:15 p.m.
    Anita Liebenau (University of New South Wales)
    Enumerating graphs and other discrete structures by degree sequence
    How many d-regular graphs are there on n vertices? What is the probability that G(n,p) has a specific given degree sequence, where G(n,p) is the homogeneous random graph in which every edge is inserted with …

  • May 30, 2019, 12:15 p.m.
    Anish Mukherjee (Chennai Mathematical Institute, India)
    Solving connectivity problems via basic Linear Algebra
    We consider some classical graph connectivity problems like reachability, shortest path and disjoint paths in different settings. For the first two problems, we show efficient parallel algorithms in the dynamic framework, confirming a conjecture of …

  • May 23, 2019, 12:15 p.m.
    Piotr Skowron (University of Warsaw)
    Fairness and Public Goods: the Case of Multiwinner Rules
    An instance of a multiwinner election consists of a set of alternatives, a population of voters---each voter approves a subset of alternatives, and the desired committee size k; the goal is to select a committee …

  • Feb. 21, 2019, 12:15 p.m.
    Laszlo Kozma (Freie Universität Berlin)
    Selection from heaps, row-sorted matrices, and X+Y, using soft heaps
    We use soft heaps to obtain simpler optimal algorithms for selecting the k-th smallest item from a heap-ordered tree, from a collection of sorted lists, and from X+Y. Our results match, and in some ways extend classical results …

  • Jan. 24, 2019, 12:15 p.m.
    Karolina Okrasa (Politechnika Warszawska)
    Subexponential algorithms for locally constrained homomorphism problems in string graphs
    We consider the complexity of finding weighted homomorphisms from string graphs with n vertices to a fixed graph H. We show that there exists an algorithm solving this problem in subexponential time, if H has no two vertices …

  • Jan. 17, 2019, 12:15 p.m.
    Adrian Vladu (Boston University)
    Discrepancy and Optimization
    We consider the problem of minimizing the discrepancy of a set system. In 1985, Spencer proved that for m sets over a universe of n elements, one can always achieve a coloring with discrepancy O(sqrt(n …

  • Nov. 29, 2018, 12:15 p.m.
    Krszysztof Fleszar (Univerisity of Warsaw)
    A PTAS for TSP with hyperplane neighborhoods
    A PTAS for TSP with hyperplane neighborhoods In TSP with neighborhoods, we are asked for a shortest tour visiting a given set of regions (i.e., neighborhoods). When the neighborhoods are lines in 2D, the problem …

  • Oct. 25, 2018, 12:15 p.m.
    Stéphan Thomassé (ENS Lyon)
    EPTAS for Max Clique on Disks and Unit Balls
    We propose a polynomial-time algorithm which takes as input a finite set of points of R3 and computes, up to arbitrary precision, a maximum subset with diameter at most 1. More precisely, we give the …

  • Oct. 11, 2018, 12:15 p.m.
    Paweł Rzążewski (MIMI PW)
    Finding list homomorphisms from bounded-treewidth graphs to reflexive graphs: a complete complexity characterization
    In the list homomorphism problem, the input consists of two graphs G and H, together with a list L(v) \subseteq V(H) for every vertex v\in V(G). The task is to find a homomorphism \phi:V(G)\to V(H) …

  • July 19, 2018, 12:15 p.m.
    Jan van der Brand (KTH)
    Improved Algorithms for Dynamic Matrix Inverse
    The dynamic matrix inverse problem is to maintain the inverse of a matrix undergoing element and column updates. It is the main subroutine behind the best algorithms for many dynamic problems, such as maintaining the …

  • June 11, 2018, 12:15 p.m.
    Krzysztof Kiljan, Wojciech Nadara, Michał Ziobro
    Three talks from Symposium on Experimental Algorithms (SEA'18)
    Krzysztof Kiljan, Experimental Evaluation of Parameterized Algorithms for Feedback Vertex Set   Feedback Vertex Set is a classic combinatorial optimization problem that asks for a minimum set of vertices in a given graph whose deletion makes …