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  1. Chapter and Conference Paper

    Correction to: Parameterized Algorithms for Covering by Arithmetic Progressions

    Ivan Bliznets, Jesper Nederlof in SOFSEM 2024: Theory and Practice of Comput… (2024)

  2. No Access

    Chapter and Conference Paper

    Algorithms and Turing Kernels for Detecting and Counting Small Patterns in Unit Disk Graphs

    In this paper we investigate the parameterized complexity of the task of counting and detecting occurrences of small patterns in unit disk graphs: Given an n-vertex unit disk graph G with an embedding of ply p (t...

    Jesper Nederlof, Krisztina Szilágyi in SOFSEM 2024: Theory and Practice of Computer Science (2024)

  3. No Access

    Chapter and Conference Paper

    Exact and Parameterized Algorithms for Choosability

    In the Choosability problem (or list chromatic number problem), for a given graph G, we need to find the smallest k such that G admits a list coloring for any list assignment where all lists contain at least k co...

    Ivan Bliznets, Jesper Nederlof in SOFSEM 2024: Theory and Practice of Computer Science (2024)

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    Chapter and Conference Paper

    Parameterized Algorithms for Covering by Arithmetic Progressions

    An arithmetic progression is a sequence of integers in which the difference between any two consecutive elements is the same. We investigate the parameterized complexity of two problems related to arithmetic prog...

    Ivan Bliznets, Jesper Nederlof in SOFSEM 2024: Theory and Practice of Comput… (2024)

  5. Article

    Open Access

    On the Fine-grained Parameterized Complexity of Partial Scheduling to Minimize the Makespan

    We study a natural variant of scheduling that we call partial scheduling: in this variant an instance of a scheduling problem along with an integer k is given and one seeks an optimal schedule where not all, but ...

    Jesper Nederlof, Céline M. F. Swennenhuis in Algorithmica (2022)

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    Chapter and Conference Paper

    On the Parameterized Complexity of the Connected Flow and Many Visits TSP Problem

    We study a variant of Min Cost Flow in which the flow needs to be connected. Specifically, in the Connected Flow problem one is given a directed graph G, along with a set of demand vertices

    Isja Mannens, Jesper Nederlof in Graph-Theoretic Concepts in Computer Scien… (2021)

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    Chapter

    Algorithms for NP-Hard Problems via Rank-Related Parameters of Matrices

    We survey a number of recent results that relate the fine-grained complexity of several NP-Hard problems with the rank of certain matrices. The main technical theme is that for a wide variety of Divide & Conqu...

    Jesper Nederlof in Treewidth, Kernels, and Algorithms (2020)

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    Chapter and Conference Paper

    Hamiltonian Cycle Parameterized by Treedepth in Single Exponential Time and Polynomial Space

    For many algorithmic problems on graphs of treewidth \(t\) t , a standard dy...

    Jesper Nederlof, Michał Pilipczuk in Graph-Theoretic Concepts in Computer Scien… (2020)

  9. Article

    Open Access

    New Tools and Connections for Exponential-Time Approximation

    In this paper, we develop new tools and connections for exponential time approximation. In this setting, we are given a problem instance and an integer ...

    Nikhil Bansal, Parinya Chalermsook, Bundit Laekhanukit, Danupon Nanongkai in Algorithmica (2019)

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    Chapter and Conference Paper

    Hamiltonicity Below Dirac’s Condition

    Dirac’s theorem (1952) is a classical result of graph theory, stating that an n-vertex graph ( \(n \ge 3\) ) is Hamilto...

    Bart M. P. Jansen, László Kozma in Graph-Theoretic Concepts in Computer Scien… (2019)

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    Chapter and Conference Paper

    On Directed Feedback Vertex Set Parameterized by Treewidth

    We study the Directed Feedback Vertex Set problem parameterized by the treewidth of the input graph. We prove that unless the Exponential Time Hypothesis fails, the problem cannot be solved in time ...

    Marthe Bonamy, Łukasz Kowalik in Graph-Theoretic Concepts in Computer Scien… (2018)

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    Reference Work Entry In depth

    Exact Algorithms and Time/Space Tradeoffs

    Jesper Nederlof in Encyclopedia of Algorithms (2016)

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    Article

    Minimizing Rosenthal Potential in Multicast Games

    A multicast game is a network design game modelling how selfish non-cooperative agents build and maintain one-to-many network communication. There is a special source node and a collection of agents located at...

    Fedor V. Fomin, Petr A. Golovach, Jesper Nederlof in Theory of Computing Systems (2015)

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    Article

    Speeding Up Dynamic Programming with Representative Sets: An Experimental Evaluation of Algorithms for Steiner Tree on Tree Decompositions

    Dynamic programming on tree decompositions is a frequently used approach to solve otherwise intractable problems on instances of small treewidth. In recent work by Bodlaender et al. (Proceedings of the 40th in...

    Stefan Fafianie, Hans L. Bodlaender, Jesper Nederlof in Algorithmica (2015)

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    Living Reference Work Entry In depth

    Exact Algorithms and Time/Space Tradeoffs

    Jesper Nederlof in Encyclopedia of Algorithms

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    Chapter and Conference Paper

    Subexponential Time Algorithms for Finding Small Tree and Path Decompositions

    The Minimum Size Tree Decomposition (MSTD) and Minimum Size Path Decomposition (MSPD) problems ask for a given n-vertex graph G and integer k, what is the minimum number of bags of a tree decomposition (respectiv...

    Hans L. Bodlaender, Jesper Nederlof in Algorithms - ESA 2015 (2015)

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    Article

    Inclusion/Exclusion Meets Measure and Conquer

    Inclusion/exclusion and measure and conquer are two central techniques from the field of exact exponential-time algorithms that recently received a lot of attention. In this paper, we show that both techniques...

    Jesper Nederlof, Johan M. M. van Rooij, Thomas C. van Dijk in Algorithmica (2014)

  18. Article

    Open Access

    Fast Polynomial-Space Algorithms Using Inclusion-Exclusion

    Given a graph with n vertices, k terminals and positive integer weights not larger than c, we compute a minimum Steiner Tree in $\math...

    Jesper Nederlof in Algorithmica (2013)

  19. No Access

    Chapter and Conference Paper

    Speeding Up Dynamic Programming with Representative Sets

    Dynamic programming on tree decompositions is a frequently used approach to solve otherwise intractable problems on instances of small treewidth. In recent work by Bodlaender et al. [5], it was shown that for ...

    Stefan Fafianie, Hans L. Bodlaender, Jesper Nederlof in Parameterized and Exact Computation (2013)

  20. No Access

    Chapter and Conference Paper

    Deterministic Single Exponential Time Algorithms for Connectivity Problems Parameterized by Treewidth

    It is well known that many local graph problems, like Vertex Cover and Dominating Set, can be solved in $2^{\mathcal{O}(\mathtt{tw})}n...

    Hans L. Bodlaender, Marek Cygan, Stefan Kratsch in Automata, Languages, and Programming (2013)

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