Seminars
29.05.2019 12:14 Bartłomiej Puget 
Computer science foundations Solving the Rubik’s Cube Optimally is NPcomplete by Erik D. Demaine and Sarah Eisenstat 
In this paper, we prove that optimally solving an n × n × n Rubik’s Cube is NPcomplete by reducing from the Hamiltonian Cycle problem in square grid graphs. This improves the previous result that optimally solving an n×n×n Rubik’s Cube with missing stickers is NPcomplete. We prove this result first for the simpler case of the Rubik’s Square – an n × n × 1 generalization of the Rubik’s Cube – and then proceed with a similar but more complicated proof for the Rubik’s Cube case. Our results hold both when the goal is make the sides monochromatic and when the goal is to put each sticker into a specific location. 
05.06.2019 12:14 Szymon Stankiewicz 
Computer science foundations Bohm's Theorem, Church's Delta, Numeral Systems, and Ershov Morphisms by Richard Statman and Henk Barendregt 
In this note we work with untyped lambda terms under betaconversion and consider the possibility of extending Bohm's theorem to in¯nite RE (recursively enumerable) sets. Bohm's theorem fails in general for such sets V even if it holds for all finite subsets of it. It turns out that generalizing Bohm's theorem to infnite sets involves three other superfcially unrelated notions; namely, Church's delta, numeral systems, and Ershov morphisms. Our principal result is that Bohm's theorem holds for an infnite RE set V closed under beta conversion iff V can be endowed with the structure of a numeral system withc predecessor iff there is a Church delta (conditional) for V iff every Ershov morphism with domain V can be represented by a lambda term. 
12.06.2019 16:15 Bartosz Walczak 
Theoretical computer science TBA 
19.06.2019 16:15 Bartłomiej Kielak 
Theoretical computer science Generalized Turán densities and counting cycles in graphs 
Poprzednie referaty
22.05.2019 12:14 Maciej Czerwiński 
Computer science foundations Automata Theoretic Account of Proof Search by Aleksy Schubert, Wil Dekkers and Henk P. Barendregt 
Techniques from automata theory are developed that handle search for inhabitants in the simply typed lambda calculus. The resulting method for inhabitant search, which can be viewed as proof search by the CurryHoward isomorphism, is proven to be adequate by a reduction of the inhabitant existence problem to the emptiness problem for appropriately defined automata. To strengthen the claim, it is demonstrated that the latter has the same complexity as the former. We also discuss the basic closure properties of the automata. 
15.05.2019 16:15 Krzysztof Kleiner 
Theoretical computer science Range queries and counting triangles 
Listing and counting triangles in sparse graphs are wellstudied problems. For a graph with m edges, Björklund et al. gave an O(m^{1.408}) algorithm which can list up to m triangles. The exact exponent depends on the exponent omega in matrix multiplication, and becomes 4/3 if omega=2. Pătraşcu proved that an algorithm faster than O(m^{4/3}) would imply a subquadratic algorithm for 3SUM, which is considered unlikely. In our work we consider a variant of triangle problem asking to determine for every edge the number of triangles which contains that edge. We prove that this problem is no easier than listing up to m triangles, although it still admits an algorithm of the same O(m^{1.408}) complexity. We also propose a natural class of range query problems, including for example the following problem: given a family of ranges in an array, compute the number of inversions in each of them. We prove that all the problems in this class are equivalent, under onetopolylog reductions, to counting triangles for each edge. In particular the time complexities of these problems are the same up to polylogarithmic factors. This is joint work of Lech Duraj, Krzysztof Kleiner, Adam Polak and Virginia VassilevskaWilliams. 
15.05.2019 12:14 Przemysław Rutka (Lublin) 
Computer science foundations Wybrane algorytmiczne zastosowania klasycznych wielomianów ortogonalnych 
Klasyczne wielomiany ortogonalne, odpowiadające im klasyczne funkcje wagowe oraz ich własności znajdują wiele zastosowań w takich chociażby obszarach jak tomografia, mechanika kwantowa, kombinatoryka, przetwarzanie obrazów i sygnałów, kompresja danych oraz zwiększanie wydajności algorytmów. W tym ostatnim zakresie cały czas uzyskuje się wiele ciekawych wyników, pozwalających na efektywne numeryczne rozwiązywanie różnych problemów. Można do tych problemów w szczególności zaliczyć barycentryczne interpolacje Fejéra, Hermite'a i Lagrange'a oraz problemy ekstremalne typu Szegő i MarkowaBernsteina. W pierwszym przypadku, gdy interpolowanych jest n wartości w węzłach, będących zerami klasycznych wielomianów ortogonalnych, możliwa jest poprawa złożoności obliczeniowej algorytmów, obliczających wartości wielomianów interpolacyjnych w oparciu o wzory barycentryczne, z O(n^2) do O(n). Wymagane jest w tym celu zastosowanie odpowiednich jawnych wzorów na wagi barycentryczne lub wzorów wiążących wagi barycentryczne z wagami i węzłami kwadratur Gaussa. Z kolei w drugim przypadku, jak się okazuje powiązanym z pierwszym, daje się sformułować wzory, pozwalające bezpośrednio obliczać na komputerze najlepsze stałe, występujące w nierównościach typu Szegő i MarkowaBernsteina oraz wartości wielomianów ekstremalnych, dla których te nierówności stają się równościami. Nierówności te związane są z iterowanymi klasycznymi funkcjami wagowymi i można je wykorzystać do szacowania wartości lub norm pochodnych D^{k}p lub różnic progresywnych Δ^{k}p wielomianów p(x), odpowiednio w przypadku ciągłym lub dyskretnym.
Inne tego typu rezultaty, korzystające z klasycznych wag i/lub klasycznych wielomianów ortogonalnych, można otrzymać także dla problemu typu izoperymetrycznego w klasie płaskich, zamkniętych krzywych wielomianowych, problemu równowagi elektrostatycznej układu ładunków, problemu efektywnej, stabilnej i najbardziej ekonomicznej interpolacji oraz problemu dwustronnych oszacowań aproksymacyjnych a priori typu Chernoffa. 
08.05.2019 12:14 Weronika Grzybowska 
Computer science foundations A Mesh of Automata by Sabine Broda, Markus Holzer, Eva Maia, Nelma Moreira, Rogerio Reis 
We contribute new relations to the taxonomy of di erent conversions from regular expressions to equivalent nite automata. In particular, we are interested in transformations that construct automata such as, the follow automaton, the partial derivative automaton, the prefix automaton, the automata based on pointed expressions recently introduced and studied, and last but not least the position, or Glushkov automaton (A_POS), and their double reversed construction counterparts. We deepen the understanding of these constructions and show that with the artefacts used to construct the Glushkov automaton one is able to capture most of them. As a byproduct we define a dual version of the position automaton which plays a similar role as A_POS but now for the reverse expression. Moreover, it turns out that the prefix automaton A_Pre is central to reverse expressions, because the determinisation of the double reversal of A_Pre (first reverse the expression, construct the automaton A_Pre, and then reverse the automaton) can be represented as a quotient of any of the considered deterministic automata that we consider in this investigation. This shows that although the conversion of regular expressions and reversal of regular expressions to nite automata seems quite similar, there are signifcant differences. 
25.04.2019 16:15 Rafał Byczek 
Combinatorial Optimization The chromatic number of Kneser graphs 
In 1955 the number theorist Martin Kneser posed a seemingly innocuous problem that became one of the great challenges in graph theory until a brilliant and totally unexpected solution, using the “Borsuk–Ulam theorem” from topology, was found by László Lovász twentythree years later. It happens often in mathematics that once a proof for a longstanding problem is found, a shorter one quickly follows, and so it was in this case. Within weeks Imre Bárány showed how to combine the Borsuk–Ulam theorem with another known result to elegantly settle Kneser’s conjecture. Then in 2002 Joshua Greene, an undergraduate student, simplified Bárány’s argument even further, and it is his version of the proof that I present here. 
24.04.2019 16:15 Bartłomiej Bosek 
Theoretical computer science Algorithms for posets and graphs games – coloring and matching 
Graph colorings and online algorithms on graphs constitute the key fragments of the algorithmic graph theory. Specifically, the subject of this study will be a presentation of the results concerning
The first part of the talk will concern different aspects of the coloring problem as well as different evidential techniques. The presented results concern majority choosability of digraphs, harmonious coloring of hypergraphs and semiuni conjecture of product of two posets. The next part of presentation will concern online chain partitioning of posets. There will be presented a full characterization of the class of posets, for which the number of colors (chains) used by firstfit is a function of width, i.e. best offline solution. This part will also present two different subexponential online algorithm for the online chain partitioning problem. The last part will concern the incremental matching problem in bipartite graphs. There will be presented an incremental algorithm that maintains the maximum size matching in total time equal the running time of one of the fastest offline maximum matching algorithm that was given by Hopcroft and Karp. Moreover, I will show an analysis of the shortest augmenting path algorithm. This is joint work with Marcin Anholcer, Jarosław Grytczuk, Sebastian Czerwiński, Paweł Rzążewski, Stefan Felsner, Kolja Knauer, Grzegorz Matecki, Tomasz Krawczyk, H. A. Kierstead, Matthew Smith, Dariusz Leniowski, Piotr Sankowski, Anna ZychPawlewicz. 
24.04.2019 14:00 Bartłomiej Jachowicz, Mateusz Kaczmarek 
Algorytmika On the Complexity of Exact Pattern Matching in Graphs: Binary Strings and Bounded Degree (M. Equi et al.) 
Exact pattern matching in labeled graphs is the problem of searching paths of a graph G = (V, E) that spell the same string as the pattern P[1…m]. This problem can be solved in quadratic O(Em) time. In this paper authors give a simple conditional lower bound that, for any constant e > 0 an O(m E^{1e}) or O(E m^{1e}) time algorithm cannot be achieved unless Strong Exponential Time Hypothesis (SETH) is false. 
17.04.2019 16:15 10.04.2019 16:15 Tomasz Krawczyk 
Theoretical computer science Testing isomorphism of circulararc graphs  Hsu's approach revisited 
Circulararc graphs are intersection graphs of arcs on the circle. The aim of our work is to present a polynomial time algorithm testing whether two circulararc graphs are isomorphic. To accomplish our task we construct decomposition trees, which are the structures representing all normalized intersection models of circulararc graphs. Normalized models reflect the neighbourhood relation in a circulararc graph and can be seen as its canonical representations; in particular, every intersection model can be easily transformed into a normalized one.
Our work adapts and appropriately extends the previous work on similar topic done by Hsu [SIAM J. Comput. 24(3), 411439, (1995)]. In his work Hsu developed decomposition trees representing the structure of all normalized models of circulararc graphs. However, due to the counterexample given in [Discrete Math. Theor. Comput. Sci., 15(1), 157182, 2013] his decomposition trees can not be used by the algorithm testing isomorphism of circulararc graphs. 
17.04.2019 14:00 Rafał Kaszuba, Michał Zwonek 
Algorytmika A simpler implementation and analysis of Chazelle’s Soft Heaps (H. Kaplan, U. Zwick) 
Chazelle (2000) devised an approximate meldable priority queue data structure, called Soft Heaps, and used it to obtain the fastest known deterministic comparisonbased algorithm for computing minimum spanning trees, as well as some new algorithms for selection and approximate sorting problems. If n elements are inserted into a collection of soft heaps, then up to εn of the elements still contained in these heaps, for a given error parameter ε, may be corrupted, i.e.,have their keys artificially increased. In exchange for allowing these corruptions, each soft heap operation is performed in O(log 1/ε) amortized time. Chazelle’s soft heaps are derived from the binomial heaps data structure in which each priority queue is composed of a collection of binomial trees. We describe a simpler and more direct implementation of soft heaps in which each priority queue is composed of a collection of standard binary trees. Our implementation has the advantage that no cleanup operations similar to the ones used in Chazelle’s implementation are required.We also present a concise and unified potentialbased amortized analysis of the new implementation. 
17.04.2019 12:14 Dawid Tracz 
Computer science foundations Regular Matching and Inclusion on Compressed Tree Patterns with Context Variables by Iovka Boneva, Joachim Niehren, and Momar Sakho 
We study the complexity of regular matching and inclusion for compressed tree patterns extended by context variables. The addition of context variables to tree patterns permits us to properly capture compressed string patterns but also compressed patterns for unranked trees with tree and hedge variables. Regular inclusion for the latter is relevant to certain query answering on Xml streams with references. 
11.04.2019 17:00 Filip Bartodziej 
Combinatorial Optimization Turán’s graph theorem 
We’ll cover the Turan theorem from 1941, which provides a restriction on the number of edges in a graph that doesn’t contain an induced kclique, depending on parameter k. 
11.04.2019 16:15 Mateusz Pabian 
Combinatorial Optimization Gaming is a hard job, but someone has to do it! 
General schemes relating the computational complexity of a video game to the presence of certain common elements or mechanics, such as destroyable paths, collectible items, doors opened by keys or activated by buttons or pressure plates, etc. Proofs of complexity of several video games, including PacMan, Tron, Lode Runner, Boulder Dash, Deflektor, Mindbender, Pipe Mania, Skweek, Prince of Persia, Lemmings, Doom, Puzzle Bobble 3, and Starcraft. Giovanni Viglietta. Gaming is a hard job, but someone has to do it! arXiv. 2013. 
10.04.2019 12:14 Jan Derbisz 
Computer science foundations What Percentage of Programs Halt? by Laurent Laurent Bienvenu, Damien Desfontaines and Alexander Shen 
Fix an optimal Turing machine U and for each n consider the ratio \rho^U_n of the number of halting programs of length at most n by the total number of such programs. Does this quantity have a limit value? In this paper, we show that it is not the case, and further characterise the reals which can be the limsup of such a sequence \rho^U_n . We also study, for a given optimal machine U, how hard it is to approximate the domain of U from the point of view of coarse and generic computability. 
04.04.2019 17:00 Marcin Briański 
Combinatorial Optimization A short story of graphs that count 
In 1978 Thomason provided a simple, constructive proof of Smith’s theorem; in particular this proof provides a simple algorithm enables one to find a second Hamiltonian cycle whenever one is given a cubic graph and a Hamiltonian cycle in it. For a couple of years, the runtime of the algorithm remained unknown, with worst known cases being cubic (in the number of vertices), however in 1999 Krawczyk found an example of a graph family, such that Thomason’s algorithm takes time Ω(2^{n/8}) where is the number of vertices in the input graph from the family. In this talk, I will present a family of cubic, planar, and 3connected graphs, such that Thomason’s algorithm takes time Θ(1.1812^{n}) on the graphs in this family. This scaling is currently the best known. 
04.04.2019 16:15 Mateusz Tokarz 
Combinatorial Optimization The Slope Problem 
28.03.2019 17:00 Vladyslav Hlembotskyi 
Combinatorial Optimization The Angel of power 2 wins 
Let's consider the following game: we have two players (they are called the angel and the devil) and an infinite chessboard. The angel is located in some cell on the board. Players make moves alternatively. The devil chooses any cell that is not occupied by the angle and blocks it. The angel can jump to any other cell which is at distance at most p (p is fixed) from its present location and is not blocked. The devil wins if the angel cannot jump to any other cell. The angel wins if it can avoid being captured forever. We will show that the angel of power 2 has a winning strategy. 
28.03.2019 16:15 Katarzyna Bułat 
Combinatorial Optimization Distributed tracing 
The presentation will cover the topic of distributed tracing, which is an important issue in the field of distributed systems. Services are nowadays implemented as complex networks of related subsystems and it is often hard to determine the source of performance problem in such complex structures. We will take a look at Dapper, a largescale distributed systems tracing infrastructure, and discuss the challenges its designers had to face, as well as the opportunities the tool gives to programmers. We will discuss the core goals of effective instrumentation, analyze the problem of handling huge amount of tracing data and focus on security concerns. 
21.03.2019 16:15 Adrian Siwiec 
Combinatorial Optimization Online Maximum Matching with Recourse 
Online maximum matching problem has a recourse of k, when the decision whether to accept an edge to a matching can be changed k times, where k is typically a small constant. First, we consider the model in which arriving edge never disapears. We show that greedy algorithm has competitive ratio of 3/2 for even k and 2 for odd k. Then we show an improvement for typical values of k and proceed to show a lower bound of 1+1/(k1). Later, we discuss a model where edges can appear and disappear at any time and show generalized algorithms. 
20.03.2019 12:14 Rafał Byczek 
Computer science foundations Improving the Upper Bound on the Length of the Shortest Reset Words by Marek Szykula 
We improve the best known upper bound on the length of the shortest reset words of synchronizing automata. The new bound is slightly better than 114n^3 / 685+O(n^2). The Cerny conjecture states that (n−1)^2 is an upper bound. So far, the best general upper bound was (n^3−n)/6−1 obtained by J.E. Pin and P. Frankl in 1982. Despite a number of efforts, it remained unchanged for about 35 years. To obtain the new upper bound we utilize avoiding words. A word is avoiding for a state q if after reading the word the automaton cannot be in q. We obtain upper bounds on the length of the shortest avoiding words, and using the approach of Trahtman from 2011 combined with the wellknown Frankl theorem from 1982, we improve the general upper bound on the length of the shortest reset words. For all the bounds, there exist polynomial algorithms finding a word of length not exceeding the bound. 
14.03.2019 16:15 Bartłomiej Bosek 
Combinatorial Optimization Open problem session 
At the seminar were presented some interesting open problems in the field of graph theory. 
13.03.2019 14:15 Kornel Dulęba, Jan Mełech 
Algorytmika A Randomized MaximumFlow Algorithm (Cheriyan & Hagerup) 
A randomized algorithm for computing a maximum flow is presented. For an nvertex medge network, the running time is O(nm + n^{2}(log n)^{2}) with probability at least 1  2^{sqrt(nm)}. The algorithm is always correct, and in the worst case runs in O(nm log n) time. The only use of randomization is to randomly permute the adjacency lists of the network vertices at the start of the execution. 
13.03.2019 12:14 Vladyslav Hlembotskyi 
Computer science foundations Upper Bounds for Standardizations and an Application by Hongwei Xi 
We present a new proof for the standardization theorem in lambdacalculus, which is largely built upon a structural induction on lambdaterms. We then extract some bounds for the number of betareduction steps in the standard betareduction sequence obtained from transforming a given betareduction sequence, sharpening the standardization theorem. As an application, we establish a super exponential bound for the lengths of betareduction sequences from any given simply typed A 
07.03.2019 16:15 Kamil Kropiewnicki 
Combinatorial Optimization Identities versus bijections 
In 1740 Leonhard Euler began to work on counting partitions. It resulted in two fundamental papers in the field. Integer partitions have been an active field of study ever since, tackled by many including Srinivasa Ramanujan, Paul Erdős and Donald Knuth. We present a few beautiful proofs of identities using only basic generating functions and simple bijections. 
06.03.2019 16:15 Zoltán Lóránt Nagy Eötvös University & Alfréd Rényi Institute of Mathematics 
Theoretical computer science Triangles in line arrangements 
A widely investigated subject in combinatorial geometry, originating from Erdős, is the following: given a point set P of cardinality n in the plane, how can we describe the distribution of the determined distances, e.g., determine the maximum number of unit distances, the maximum number of minimum/maximum distances, the minimum number of distinct distances? This has been generalized in many directions by taking point sets in a certain (not necessarily Euclidean) metric space and studying the distribution of certain configurations — and a whole theory emerged. In this talk I propose the following problem variant: consider planar line arrangements of n lines, and determine the maximum number of unit/maximum/minimum area determined by these lines. We prove that the order of magnitude for the maximum occurrence of unit area lies between Joint work with Gábor Damásdi, Leo MartínezSandoval and Dániel T. Nagy. 
06.03.2019 12:14 Jan Derbisz, Pola Kyzioł, Krzysztof Maziarz, Jakub Nowak, Grzegorz Juzrdziński 
Computer science foundations Prezentacje prac magisterskich 
Jan Derbisz, Promotor: dr hab. Tomasz Krawczyk Pola Kyzioł, Promotor: dr hab. Tomasz Krawczyk Krzysztof Maziarz, Promotor: prof. dr hab. Jacek Tabor Jakub Nowak, Promotor: prof. dr hab. Jacek Tabor Grzegorz Jurdziński, Promotor: dr Piotr Micek 
27.02.2019 16:15 Michał Wrona 
Theoretical computer science Relational Width of FirstOrder Expansions of Homogeneous Graphs with Bounded Strict Width 
We study the amount of consistency (measured by relational width) needed to solve the CSP parametrized by firstorder expansions of countably infinite homogeneous graphs, that are, the structures firstorderdefinable in a homogeneous graph containing the edge relation E, the relation N that holds between different vertices not connected by an edge and the equality. We study our problem for structures that additionally have bounded strict width, i.e., establishing local consistency of an instances of the CSP not only decides if there is a solution but also ensures that every solution may be obtained from a locally consistent instance by greedily assigning values to variables, without backtracking. It is known that with every countably infinite homogeneous graph G the finite unique minimal set S of finite graphs is associated such that some finite H is an induced substructure of G if and only if there is no H' in S such that H' embeds into H. 
26.02.2019 16:15 Marcin Briański 
Algorytmy Randomizowane i Aproksymacyjne Measuring sparsity (based on the lecture by M. Pilipczuk and S. Siebertz) 
24.01.2019 16:15 Rafał Burczyński 
Combinatorial Optimization Basic properties of 3CCP graphs 
We will introduce a class of graphs called 3CCP, which contains graphs that are 3connected, cubic (3regular) and planar. It was shown by Tarjan that finding Hamiltonian cycle in a graph assuming these properties remains NPcomplete  we will show the reduction from 3SAT problem. After that we will present Smith's theorem about parity of number of Hamiltonian cycles containing given edge in cubic graphs and show elegant constructive proof using Thomason's lollipop method. After that we will show a class of graphs for which previous algorithm for finding second Hamiltonian cycle takes exponential number of steps. 
24.01.2019 14:00 Jan Derbisz, Franciszek Stokowacki 
Algorytmika An Equivalence Class for Orthogonal Vectors (L.Chen, R.Williams) 
The Orthogonal Vectors problem, asking whether any pair from n vectors is orthogonal, can be easily solved in O(n^{2} log n), however no algorithm faster than n^{2} is known. The authors show that OV is trulysubquadratic equivalent to several fundamental problems e.g. (ApxMinIP)  finding redblue pair of vectors that is kapproximation to the minimum/maximum inner product and (Approximate Bichrom.ℓpClosestPair)  approximation to the closest redblue pair of points. Above equivalence results hold as well in Data Structure setting, where we answer online queries. Also, introduced constructions allow new approximation algorithms for ApxMinIP and some MAXSAT instances. 
23.01.2019 16:15 Lech Duraj 
Theoretical computer science A subquadratic algorithm for Longest Common Increasing Subsequence 
The Longest Common Increasing Subsequence problem (LCIS) is a natural variant of the celebrated longest common subsequence (LCS). For LCIS, as well as for LCS, there is an O(n^{2}) algorithm and a SETHbased quadratic lower bound. Both the algorithm and the proof of the bound are, however, quite different for LCIS. For LCS, there is also the MasekPaterson O(n^{2}/log n) algorithm. Its technique (the 'four Russians trick') does not seem to work for LCIS in any obvious way, so a natural question arises: does any subquadratic algorithm exist for Longest Common Increasing Subsequence problem? We answer this question positively, presenting a O(n^{2}/log^{a}n) algorithm for some a>0. The algorithm is not based on memorizing small inputs (often used for logarithmic speedups, including LCS), but rather utilizes a new technique, bounding the number of significant symbol matches between the two sequences. 
23.01.2019 12:14 
Computer science foundations canceled 
17.01.2019 16:15 Adrian Siwiec 
Combinatorial Optimization List coloring of Latin Squares 
For each cell (i, j) of NxN square there is given a list C(i, j) of N colors. Can we choose a color for each cell in such a way that colors in each row and each column are distinct? 
17.01.2019 14:00 Katarzyna Bułat, Kamil Rajtar 
Algorytmika Correctness of constructing optimal alphabetic trees reviseted 
Prezentowana przez nas praca przedstawia nowe obserwacje, które pozwoliły autorom dowieść poprawności dwóch znanych algorytmów (HuTuckera i GarsiWachs) na konstrukcję optymalnych drzew utrzymujących porządek leksykograficzny. Omówimy uogólnioną wersję algorytmu GarsiWachs wraz z przejrzystym i łatwym do zilustrowania dowodem, który pomaga również w zrozumieniu podejścia HuTuckera. 
16.01.2019 16:15 Grzegorz Gutowski 
Theoretical computer science Entropy Compression for Acylic EdgeColorings 
Let G be a graph with maximum degree d. We show a randomized procedure that colors the edges of G so that:
Such a coloring is called an acylic edgecoloring of G. The minimum number of colors in an acyclic edge coloring of G is called the acylic index of G. It is conjectured that acylic index of G is at most d+2. We are able to prove that our coloring procedure succeeds for roughly 3.97d colors (improving on a previous result that used 4d colors). This is joint work with Jakub Kozik and Xuding Zhu. 
16.01.2019 12:14 Rafał Byczek i Paweł Mader 
Computer science foundations A theory of linear typings as flows on 3valent graphs by Noam Zeilberger 
Building on recently established enumerative connections between lambda calculus and the theory of embedded graphs (or “maps”), this paper develops an analogy between typing (of lambda terms) and coloring (of maps). Our starting point is the classical notion of an abelian groupvalued “flow” on an abstract graph (Tutte, 1954). Typing a linear lambda term may be naturally seen as constructing a flow (on an embedded 3valent graph with boundary) valued in a more general algebraic structure consisting of a preordered set equipped with an “implication” operation and unit satisfying composition, identity, and unit laws. Interesting questions and results from the theory of flows (such as the existence of nowherezero flows) may then be reexamined from the standpoint of lambda calculus and logic. For example, we give a characterization of when the local flow relations (across vertices) may be categorically lifted to a global flow relation (across the boundary), proving that this holds just in case the underlying map has the orientation of a lambda term. We also develop a basic theory of rewriting of flows that suggests topological meanings for classical completeness results in combinatory logic, and introduce a polarized notion of flow, which draws connections to the theory of proofnets in linear logic and to bidirectional typing. 
15.01.2019 16:15 Marcin Briański 
Algorytmy Randomizowane i Aproksymacyjne Measuring sparsity (based on the lecture by M. Pilipczuk and S. Siebertz) 
10.01.2019 16:15 Kamil Kropiewnicki 
Combinatorial Optimization Shuffling cards 
What do the birthday paradox, the coupon collector problem and shuffling cards have in common? What does it mean for a deck of cards to be "random" or "close to random"? How long does one have to shuffle a deck of cards until it is random? In practical use cases, the question is not about the asymptote  it is about the exact numbers. 
10.01.2019 14:00 Bartłomiej Jachowicz, Mateusz Kaczmarek 
Algorytmika SETHbased Lower Bounds for Subset Sum and Bicriteria Path 
The main result of this paper is a tight reduction from kSAT to Subset Sum on dense instances, proving that Bellman's 1962 pseudopolynomial O*(T)  time algorithm for Subset Sum on n numbers and target T cannot be improved to time T^{1  e} * 2^{o(n)} for any e > 0, unless SETH fails. 
09.01.2019 12:14 Krzysztof Turowski Purdue University, USA 
Computer science foundations Compression of Dynamic Graphs Generated by a Duplication Model 
One of the important topics in the information theory of nonsequential random data structures such as trees, sets, and graphs is the question of entropy: how many bits on average are needed to describe the structure. Here we consider dynamic graphs generated by a duplication model in which a new vertex selects an existing vertex and copies all of its neighbors. We provide asymptotic formulas for entopies for both labeled and unlabeled versions of such graphs and construct compression algorithms matching these bounds up to two bits. Moreover, as a side result, we were able to derive asymptotic expansions of expected value of f(X) for functions of polynomial growth, when X has betabinomial distribution  which in turn allowed to obtain e.g. asymptotic formula the entropy for a Dirichletmultinomial distribution. 
08.01.2019 16:15 Bartosz Wodziński 
Algorytmy Randomizowane i Aproksymacyjne Algorithmic barriers from phase transitions (Dimitris Achlioptas, Amin CojaOghlan) 
03.01.2019 16:15 Kamil Rajtar 
Combinatorial Optimization Communication without errors 
Main aim of the lecture is the answer for Claude Shannon's question from 1956: "Suppose we want to transmit messages across a channel (where some symbols may be distorted) to a receiver. What is the maximum rate of transmission such that the receiver may recover the original message without errors?" 
03.01.2019 14:00 Rafał Kaszuba, Krzysztof Zysiak 
Algorytmika Fast Modular Subset Sum using Linear Sketching 
Dostając zbiór n dodatnich liczb całkowitych, problem Modular Subset Sum polega na sprawdzeniu czy istnieje podzbiór, który sumuje się do zadanego t modulo dana liczba całkowita m. Jest to naturalne uogólnienie problemu Subset Sum (m=+∞), który silnie łączy się z addytywną kombinatoryką i kryptografią. Niedawno zostały opracowane efektywne algorytmy dla przypadku niemodularnego, działające w czasie bliskoliniowym pseudowielomianowym. Jednak dla przypadku modularnego najlepszy znany algorytm (Koiliaris'a i Xu) działa w czasie Õ(m^{5/4}). W tej pracy prezentujemy algorytm działający w czasie Õ(m), który dopasowuje się do warunkowego ograniczenia dolnego opartego na SETH. W przeciwieństwie do większości poprzednich wyników związanych z problemem Subset Sum, nasz algorytm nie korzysta z FFT. Natomiast, jest zdolny zasymulować "podręcznikowe" programowanie dynamiczne znacznie szybciej, używając pomysłów ze Szkicowania Liniowego. Jest to jedna z pierwszych aplikacji technik bazujących na szkicowaniu, by osiągnąć szybki algorytm dla problemów kombinatorycznych w modelu offline. 
20.12.2018 16:15 Filip Bartodziej 
Combinatorial Optimization Cayley’s formula for the number of trees & How to guard a museum 
First, several proofs for the number of labeled trees, each using different approach (bijection, linear algebra, recursion, double counting) will be presented. Second part of the seminar will introduce an interesting graph problem first raised by Victor Klee in 1973. This problem can be represented as placing guards in a museum to guard it properly  that is area of the museum must be completely covered by the field of view of the guards. 
19.12.2018 16:15 Agnieszka Łupińska University of California, Davis 
Theoretical computer science Gunrock: GPU Graph Analytics 
Gunrock is a CUDA library for graphprocessing designed specifically for the GPU. It uses a highlevel, bulksynchronous, datacentric abstraction focused on operations on a vertex or edge frontier. Gunrock achieves a balance between performance and expressiveness by coupling high performance GPU computing primitives and optimization strategies with a highlevel programming model that allows programmers to quickly develop new graph primitives with small code size and minimal GPU programming knowledge. 
19.12.2018 12:14 Jakub Łabaj i Gabriela Czarska 
Computer science foundations Programming Languages Capturing Complexity Classes by LARS KRISTIANSEN and PAUL J. VODA 
We investigate an imperative and a functional programming language. The computational power of fragments of these languages induce two hierarchies of complexity classes. Our first main theorem says that these hierarchies match, level by level, a complexitytheoretic alternating spacetime hierarchy known from the literature. Our second main theorems says that a slightly different complexitytheoretic hierarchy (the GoerdtSeidl hierarchy) also can be captured by hierarchies induced by fragments of the programming languages. Well known complexity classes like LOGSPACE, LINSPACE, P, PSPACE etc., occur in the hierarchies. 
18.12.2018 16:15 Maciej Czerwiński 
Algorytmy Randomizowane i Aproksymacyjne Lovasz meets Weisfeiler and Leman (by Dell, Grohe and Rattan) 
"In this paper, we relate a beautiful theory by Lovász with a popular heuristic algorithm for the graph isomorphism problem, namely the color refinement algorithm and its k dimensional generalization known as the WeisfeilerLeman algorithm." 
13.12.2018 17:00 Franciszek Stokowacki 
Combinatorial Optimization An Approximate Restatement of the FourColor Theorem 
Four color theorem was proven in 1976 with extensive computer help. Since then there is interest in finding a simpler proof that uses no computer computation. I will present relation between Four Color Theorem and edge 3coloring of planar, cubic graphs without bridges, and a new result proving that the existence of approximate coloring (with the fourth color used ‘rarely’) is enough to imply Four Color Theorem. 
13.12.2018 16:15 Vladyslav Hlembotskyi 
Combinatorial Optimization EERTREE: An Efficient Data Structure for Processing Palindromes in Strings 
A palindrome is a string which reads the same forward as backward, such as `Ada` or `lol`. We will present a data structure which stores information about all the different palindromic substrings of a given string and prove some basic facts about the data structure. We will show that it is useful and discuss some problems which can be solved with it. 
13.12.2018 14:00 Łukasz Miśkiewicz, Adam Pardyl 
Algorytmika SpaceEfficient Algorithms for Longest Increasing Subseqence 
Given a sequence of integers, we want to find a longest increasing subsequence of the sequence. It is known that this problem can be solved in O(n*log(n)) time and space. Our goal in this paper is to reduce the space consumption while keeping the time complexity small. For sqrt(n) <= s <= n, we present algorithms that use O(slog(n)) bits and O(1/s * n^{2} * log(n)) time for computing the length of a longest increasing subsequence, and O(1/s * n^{2} * log^{2}(n)) time for finding an actual subsequence. We also show that the time complexity of our algorithms is optimal up to polylogarithmic factors in the framework of sequential access algorithms with the prescribed amount of space. 
12.12.2018 16:15 Łukasz Lachowski 
Theoretical computer science Complexity of the quorum intersection property of the Federated Byzantine Agreement System 
A Federated Byzantine Agreement System is defined in the paper https://www.stellar.org/
as a pair (V,Q) consisting of a set of nodes V and a quorum function Q : V → P(P(V)) specifying for each node a nonempty family of subsets of nodes, called quorum slices. A subset of nodes is a quorum if and only if for each of its nodes it also contains at least one of its quorum slices. The Disjoint Quorums Problem answers the question whether a given instance of fbas contains two quorums that have no nodes in common. We show that this problem is NPcomplete. We also study the problem of finding a quorum of minimal size and show it is NPhard. Further, we consider the problem of checking whether a given subset of nodes contains a quorum for some selected node. We show this problem is Pcomplete and describe a method that solves it in linear time with respect to number of nodes and the total size of all quorum slices. Moreover, we analyze the complexity of some of these problems using the parametrized point of view.

12.12.2018 12:14 Dominik Gryboś 
Computer science foundations Characterizing Polynomial and Exponential Complexity Classes in Elementary LambdaCalculus by Patrick Baillot, Erika De Benedetti, Simona Ronchi Della Rocca 
In this paper an implicit characterization of the complexity classes kEXP and kFEXP, for k \geq 0, is given, by a type assignment system for a stratified lambda  calculus, where types for programs are witnesses of the corresponding complexity class. Types are formulae of Elementary Linear Logic (ELL), and the hierarchy of complexity classes kEXP is characterized by a hierarchy of types. 
06.12.2018 16:00 Jakub Nowak 
Combinatorial Optimization Snowflake to Avalanche: A Novel Metastable Consensus Protocol Family for Cryptocurrencies 
Consensus is one of the most important goals to be achieved when many distributed computers share the same task and resources. There are two main families of algorithms solving this problem. Traditional consensus protocols require O(n^{2}) communication, while blockchains rely on proofofwork. In this talk we will introduce a new family of leaderless Byzantine fault tolerance protocols, built on a metastable mechanism. These protocols provide a strong probabilistic safety and are both quiescent and green. We will analyze some of their properties and guarantees. Finally we will see results of porting Bitcoin transactions to the introduced family of protocols. 
05.12.2018 12:14 Bartłomiej Puget 
Computer science foundations THE SAFE LAMBDA CALCULUS by WILLIAM BLUM AND LUKE ONG 
Safety is a syntactic condition of higherorder grammars that constrains occurrences of variables in the production rules according to their typetheoretic order. In this paper, we introduce the safe lambda calculus, which is obtained by transposing (and generalizing) the safety condition to the setting of the simplytyped lambda calculus. In contrast to the original definition of safety, our calculus does not constrain types (to be homogeneous). We show that in the safe lambda calculus, there is no need to rename bound variables when performing substitution, as variable capture is guaranteed not to happen. We also propose an adequate notion of betareduction that preserves safety. In the same vein as Schwichtenberg’s 1976 characterization of the simplytyped lambda calculus, we show that the numeric functions representable in the safe lambda calculus are exactly the multivariate polynomials; thus conditional is not definable. We also give a characterization of representable word functions. We then study the complexity of deciding betaeta equality of two safe simplytyped terms and show that this problem is PSPACEhard. Finally we give a gamesemantic analysis of safety: We show that safe terms are denoted by Pincrementally justified strategies. Consequently pointers in the game semantics of safe lambda terms are only necessary from order 4 onwards. 
29.11.2018 16:00 Jan Derbisz 
Combinatorial Optimization Choosability of Planar Graphs 
Colorability and choosability of planar graphs have been heavily studied in the past. In 1994 Thomassen proved that every planar graph is 5choosable using concise induction. Recently Grytczuk and Zhu used similar ideas to prove that for every planar graph G we can find a matching M in it such that GM is 4choosable with the help of Combinatorial Nullstellensatz theorem. 
29.11.2018 14:00 Konrad Deka, Szymon Kapała 
Algorytmika Tighter Connections Between FormulaSAT and Shaving Logs 
In 2015, Abboud, Backurs and VassilevskaWilliams showed that an O(n2eps) time algorithm for LCS would refute the Strong Exponential Time Hypothesis (SETH). In this paper, authors prove conditional lower bounds of the form O(n2/logc n) for LCS, as well as for Frechet Distance and regular expression pattern matching. The main result is an efficient reduction from SAT on formulas on n variables and size s, to LCS on words of length 2n/2s1+o(1). It follows that an O(n2/log7+epsn) algorithm for LCS would refute some plausible conjectures about FormulaSAT, and an O(n2/log17+epsn) algorithm would result in major progress in theory of circuit complexity. 
28.11.2018 16:15 05.12.2018 16:15 Piotr Kawałek 
Theoretical computer science Computational approach to solving equations in finite realms 
Computational approach to the problem of solving equation, began with the question of David Hilbert. He asked, if there exists an algorithm, that decides wheather given Diophantine equation has a solution or not. Yuri Matiyasevich proved this problem to be undecidable. An analogy for decidability in finite realms is tractability. During the talk, we introduce the notion of PolSat problem for finite algebras and discuss the results for the wide class of algebraic structures. 
28.11.2018 12:14 Jacek Kurek i Bruno Pitrus 
Computer science foundations COMPLEXITY PROBLEMS IN ENUMERATIVE COMBINATORICS by IGOR PA 
The subject of enumerative combinatorics is both classical and modern. It is classical, as the basic counting questions go back millennia; yet it is modern in the use of a large variety of the latest ideas and technical tools from across many areas of mathematics. The remarkable successes from the last few decades have been widely publicized; yet they come at a price, as one wonders if there is anything left to explore. In fact, are there enumerative problems that cannot be resolved with existing technology? In this paper we present many challenges in the field from the computational complexity point of view, and describe how recent results fit into the story. 
27.11.2018 16:15 04.12.2018 16:15 Dominika Salawa, Kamil Kropiewnicki 
Algorytmy Randomizowane i Aproksymacyjne Representative sets in matroids (based on chapter of 'Parameterized algorithms') 
22.11.2018 16:00 Krzysztof Maziarz 
Combinatorial Optimization A refinement of choosability of graphs 
Between the wellknown concepts of kcolorability and kchoosability (also know as klist colorability) lies a whole spectrum of more refined notions. This allows for seeing kcolorability and kchoosability under one unified framework. Exploring this, one immediately discovers interesting problems  for example, possible strengthenings of the four color theorem. We will take a look at these notions, prove some of their properties, and leave many conjectures and open problems. 
22.11.2018 14:00 Rafał Byczek, Bruno Pitrus 
Algorytmika Approximating Edit Distance Within Constant Factor in Truly SubQuadratic Time 
Odległość edycyjna to jeden ze sposobów zmierzenia jak bardzo dwa ciągi znaków są do siebie podobne. Polega on na zliczeniu minimalnej liczby operacji wstawienia, usunięcia lub zmienienia znaku na inny, wymaganej aby przekształcić jedno słowo w drugie. W tej pracy autorzy skupili się na problemie złożoności obliczeniowej aproksymowania odległości edycyjnej pomiędzy parą słów. Problem wyznaczenia dokładnej odległości edycyjnej może być rozwiązany za pomocą klasycznego algorytmu dynamicznego działającego w kwadratowym czasie. W 2010 roku Andoni, Krauthgamer i Onak przedstawili działający w czasie prawie liniowym, algorytm aproksymujący odległość edycyjną z polilogarytmicznym czynnikiem aproksymacji. W 2014 Backurs i Indyk pokazali, że dokładny algorytm działający w czasie O(n^(2δ))implikowałby szybki algorytm dla SAT i fałszywość silnej hipotezy o czasie wykładniczym (SETH). Ponadto, ostatnio w 2017, Abboud i Backurs pokazali, że istnienie algorytmu aproksymującego odległość edycyjną w czasie prawdziwie podkwadratowym z czynnikiem aproksymacji 1 + o(1) implikowałoby fałszywość paru hipotez dotyczących złożoności obwodów boolowskich (circuit complexity). To poddaje w wątpliwość aproksymowalność odległości edycyjnej z dokładnością do czynnika stałego w czasie prawdziwie podkwadratowym. W tej pracy autorzy jednak odpowiedzieli twierdząco na to pytanie, przedstawiając bardzo ciekawy algorytm aproksymujący odległość edycyjną, z stałym czynnikiem aproksymacji i dowodząc, że jego czas działania jest ograniczony od góry przez Õ(n^(2−2/7)). 
21.11.2018 12:14 Marcin Briański 
Computer science foundations On the compressibility of finite languages and formal proofs by Sebastian Eberhard and Stefan Hetzl 
We consider the minimal number of productions needed for a grammar to cover a finite language L as the grammatical complexity of L. We study this measure for several types of word and tree grammars and show that it is closely connected to wellknown measures for the complexity of formal proofs in firstorder predicate logic. We construct an incompressible sequence of finite word languages and transfer this and several other results about the complexity of word and tree languages to formal proofs 
20.11.2018 16:15 Dawid Tracz 
Algorytmy Randomizowane i Aproksymacyjne Finding Cliques in Social Networks: A New DistributionFree Model (Fox, Roughgarden, Seshadhri, Wei, Wein) 
15.11.2018 16:00 Jakub Łabaj 
Combinatorial Optimization Contracting a Planar Graph Efficiently 
Jakub Łabaj. Contracting a Planar Graph Efficiently. slides. 2018. 
15.11.2018 14:00 Tomasz Zieliński, Michał Zwonek 
Algorytmika On the Complexity of the (Approximate) Nearest Colored Node Problem 
Given a graph G = (V, E) where every vertex has assigned a color, we ask for the approximate distance between the selected vertex v and the closest color c. We present an oracle of a stretch 4k5 using O(kn sigma^(1/k)) space and O(log k) query time. Next, we prove that having only an estimate of order O(polylog(n)) we can answer the query dist(v, c) in O(1) time. Finally, we show the connection between lambdaOuMv and dist(v, c) problems. 
14.11.2018 16:15 21.11.2018 16:15 Michał Seweryn 
Theoretical computer science Bumping a ladder 
We show that every 3connected graph which contains many disjoint 2xngrid minors, contains a 2x(n+1)gridminor. We use this result in a qualitative structure theorem for graphs without large 2xn grids. This is a result from a joint paper with Tony Huynh, Gwenaël Joret, Piotr Micek and Paul Wollan 
14.11.2018 12:14 Mateusz Tokarz 
Computer science foundations Enumerating Proofs of Positive Formulae by GILLES DOWEK AND YING JIANG 
We provide a semigrammatical description of the set of normal proofs of positive formulae in minimal predicate logic, i.e. a grammar that generates a set of schemes, from each of which we can produce a finite number of normal proofs. This method is complete in the sense that each normal proofterm of the formula is produced by some scheme generated by the grammar. As a corollary, we get a similar description of the set of normal proofs of positive formulae for a large class of theories including simple type theory and System F. 
13.11.2018 16:15 Mateusz Pabian 
Algorytmy Randomizowane i Aproksymacyjne New approximation algorithm for (1,2)TSP (Adamaszek, Mnich, Paluch) 
08.11.2018 16:15 Marcin Muszalski 
Combinatorial Optimization On the queuenumber of graphs with bounded treewidth 
In this talk I will present upper bound for a queuenumber of graphs with bounded treewidth obtained by Veit Wiechert. The new upper bound, 2k  1, improves upon double exponential upper bounds due to Dujmović et al. and Giacomo et al. Additionally I will show his construction of ktrees that have queuenumber at least k + 1. The construction solves a problem of Rengarajan and Veni Madhavan, namely, that the maximal queuenumber of 2trees is equal to 3. Marcin Muszalski. Queuenumber of graphs with bounded treewidth  Veit Wiechert. slides. 2018. 
08.11.2018 14:00 Weronika Grzybowska, Paweł Mader 
Algorytmika Hamming distance completeness and sparse matrix multiplication 
Authors of the paper show that a broad class of (+, <>) vector products (for binary integer functions <>) are equivalent under onetopolylog reductions to the computation of the Hamming distance. Examples include: the dominance product, the threshold product and l_{2p+1} distances for constant p. Those results imply equivalence (up to polylog factors) between complexity of computation of All Pairs: Hamming Distances, l_{2p+1} Distances, Dominance Products and Threshold Products. Additionally, they show that the complexity of AllPairsHammingDistances (and thus of other aforementioned AllPairs problems) is within poly log n from the time it takes to multiply matrices n×(n · d) and (n · d)×n, each with (n · d) nonzero entries. 
07.11.2018 12:14 Paweł Palenica 
Computer science foundations On Randomised Strategies in the λCalculus by Ugo Dal Lago and Gabriele Vanoni 
In this work we introduce randomized reduction strategies  a notion already studied in the context of abstract reduction systems  for the lambdacalculus. We develop a simple framework that allows us to prove if a probabilistic strategy is positive almostsurely normalizing. Then we propose a simple example of probabilistic strategy for the lambdacalculus that has such a property and we show why it is nontrivial with respect to classical deterministic strategies such as leftmostoutermost or rightmostinnermost. We conclude studying this strategy for two classical sub lambda calculi, namely those duplication and erasure are syntactically forbidden. 
06.11.2018 16:15 Szymon Łukasz 
Algorytmy Randomizowane i Aproksymacyjne NPhardness of coloring 2colorable hypergraph with polylogarithmically many colors (A. Bhangale) 
We give very short and simple proofs of the following statements: Given a 2colorable 4uniform hypergraph on n vertices, 1) It is NPhard to color it with log^delta n colors for some delta>0. 2) It is quasiNPhard to color it with O({log^{1o(1)} n}) colors. 
31.10.2018 12:14 Rafał Burczyński 
Computer science foundations A Hitchhiker’s Guide to descriptional complexity through analytic combinatorics by Sabine Broda, António Machiavelo, Nelma Moreira and Rogério Reis 
Nowadays, increasing attention is being given to the study of the descriptional complexity in the average case. Although the underlying theory for such a study seems intimidating, one can obtain interesting results in this area without too much effort. In this gentle introduction we take the reader on a journey through the basic analytical tools of that theory, giving some illustrative examples using regular expressions. Additionally, new asymptotic averagecase results for several $\epsilonNFA$ constructions are presented, in a unified framework. It turns out that, asymptotically, and in the average case, the complexity gap between the several constructions is significantly larger than in the worst case. Furthermore, one of the $\epsilonNFA$ constructions approaches the corresponding $\epsilonfree NFA$ construction, asymptotically and on average. 
30.10.2018 16:15 Wiktor Daniec 
Algorytmy Randomizowane i Aproksymacyjne David Galvin, “Three tutorial lectures on entropy and counting” (rozdział 5) 
David Galvin, “Three tutorial lectures on entropy and counting” (rozdział 5) 
25.10.2018 16:15 Bartłomiej Bosek 
Combinatorial Optimization A new variant of the game of cops and robber 
We consider the following metric version of the Cops and Robbers game. Let G be a simple graph and let k≥1 be a fixed integer. In the first round, Cop picks a subset of k vertices B={v_{1},v_{2},...,v_{k}} and then Robber picks a vertex u but keeps it in a secret. Then Cop asks Robber for a vector D_{u}(B)=(d_{1},_{2},...,d_{k}) whose components d_{i}=d_{G}(u,v_{i}), i=1,2,...,k, are the distances from u to the vertices of B. In the second round, Robber may stay at the vertex u or move to any neighbouring vertex which is kept in a secret. Then Cop picks another k vertices and asks as before for the corresponding distances to the vertex occupied by Robber. And so on in every next round. The game stops when Cop determines exactly the current position of Robber. In that case, she is the winner. Otherwise, Robber is the winner (that is if Cop is not able to localise him in any finite number of rounds). Let ζ(G) denote the least integer k for which Cop has a winning strategy. Notice that this parameter is well defined since the inequality ζ(G)≤V(G) holds obviously. The aim of the talk is to present results concerning 2trees, outerplanar graphs and planar graphs. This is a joint work with Przemysław Gordinowicz, Jarosław Grytczuk, Nicolas Nisse, Joanna Sokół, and Małgorzata ŚleszyńskaNowak. 
25.10.2018 14:00 Filip Bartodziej, Vladyslav Hlembotskyi 
Algorytmika Finegrained Lower Bounds on Cops and Robbers 
Thorough policemen or an elusive thief? At this seminar we’ll find out who comes out on top, how fast/slow can we find it out and how many cops will suffice to capture even the legendary Frank Abagnale. Our deliberations will be based around the popular cops and robbers game played on graphs. The presented results require SETH/ETH assumption. 
24.10.2018 12:14 Szymon Stankiewicz 
Computer science foundations Encoding Turing Machines into the Deterministic Lambda Calculus by Ugo Dal Lago and Beniamino Accattoli 
This note is about encoding Turing machines into the lambda calculus. The encoding we show is interesting for two reasons: 1. Weakly strategy independent : the image of the encoding is a very small fragment of the lambda  calculus, that we call the deterministic lambda calculus det. Essentially, it is the CPS (continuationpassing style) lambda calculus restricted to weak evaluation (i.e., not under abstractions). In det every term has at most one redex, and so all weak strategies collapse into a single deterministic evaluation strategy, because there are no choices between redexes to be made. The important consequence of this property is that every weak evaluation strategy then allows to simulate Turing machines,as well as any strong strategy reducing weak head redexes (or even only weak head redexes) first. 2. Linear overhead: the simulation is very efficient, when taking the number of betasteps as the time cost model for the deterministic lambda calculus. The simulation in det indeed requires a number of betasteps that is linear in the number of transitions of the encoded Turing machine, which is the best possible overhead. Therefore, not only all weak strategies simulate Turing 
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