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  1. No Access

    Chapter and Conference Paper

    Sublinear-Space Streaming Algorithms for Estimating Graph Parameters on Sparse Graphs

    In this paper, we design sub-linear space streaming algorithms for estimating three fundamental parameters – maximum independent set, minimum dominating set and maximum matching – on sparse graph classes, i.e....

    **uge Chen, Rajesh Chitnis, Patrick Eades, Anthony Wirth in Algorithms and Data Structures (2023)

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    Chapter and Conference Paper

    A Tight Lower Bound for Edge-Disjoint Paths on Planar DAGs

    Given a graph G and a set \(\mathcal {T}=\big \{ (s_i, t_i) : 1\le i\le k \big \}\) ...

    Rajesh Chitnis in Algorithms and Complexity (2021)

  3. Article

    Open Access

    A Tight Lower Bound for Planar Steiner Orientation

    In the Steiner Orientation problem, the input is a mixed graph G (it has both directed and undirected edges) and a set of k terminal pairs ...

    Rajesh Chitnis, Andreas Emil Feldmann, Ondřej Suchý in Algorithmica (2019)

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    Chapter and Conference Paper

    Algorithms and Hardness Results for Nearest Neighbor Problems in Bicolored Point Sets

    In the context of computational supervised learning, the primary objective is the classification of data. Especially, the goal is to provide the system with “training” data and design a method which uses the t...

    Sandip Banerjee, Sujoy Bhore, Rajesh Chitnis in LATIN 2018: Theoretical Informatics (2018)

  5. No Access

    Chapter and Conference Paper

    A Tight Lower Bound for Steiner Orientation

    In the Steiner Orientation problem, the input is a mixed graph G (it has both directed and undirected edges) and a set of k terminal pairs ...

    Rajesh Chitnis, Andreas Emil Feldmann in Computer Science – Theory and Applications (2018)

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    Chapter and Conference Paper

    Can We Create Large k-Cores by Adding Few Edges?

    The notion of a k-core, defined by Seidman [’83], has turned out to be useful in analyzing network structures. The k-core of a given simple and undirected graph is the maximal induced subgraph such that each vert...

    Rajesh Chitnis, Nimrod Talmon in Computer Science – Theory and Applications (2018)

  7. No Access

    Article

    List H-Coloring a Graph by Removing Few Vertices

    In the deletion version of the list homomorphism problem, we are given graphs G and H, a list \(L(v)\subseteq V(H)\) ...

    Rajesh Chitnis, László Egri, Dániel Marx in Algorithmica (2017)

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    Article

    A Tight Algorithm for Strongly Connected Steiner Subgraph on Two Terminals with Demands

    Given an edge-weighted directed graph \(G=(V,E)\) ...

    Rajesh Chitnis, Hossein Esfandiari, MohammadTaghi Hajiaghayi in Algorithmica (2017)

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    Reference Work Entry In depth

    Shadowless Solutions for Fixed-Parameter Tractability of Directed Graphs

    Rajesh Chitnis, Mohammad Taghi Hajiaghayi in Encyclopedia of Algorithms (2016)

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    Chapter and Conference Paper

    Tight Bounds for Gomory-Hu-like Cut Counting

    By a classical result of Gomory and Hu (1961), in every edge-weighted graph \(G=(V,E,w)\) , the minimum st-cut values,...

    Rajesh Chitnis, Lior Kamma in Graph-Theoretic Concepts in Computer Scien… (2016)

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    Living Reference Work Entry In depth

    Shadowless Solutions for Fixed-Parameter Tractability of Directed Graphs

    Rajesh Chitnis, Mohammad Taghi Hajiaghayi in Encyclopedia of Algorithms

  12. No Access

    Article

    On the SIG-Dimension of Trees Under the L -Metric

    Let \({{\mathcal P},}\) where $${|{\mat...

    L. Sunil Chandran, Rajesh Chitnis, Ramanjit Kumar in Graphs and Combinatorics (2013)

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    Chapter and Conference Paper

    Fixed-Parameter and Approximation Algorithms: A New Look

    A Fixed-Parameter Tractable (FPT) ρ-approximation algorithm for a minimization (resp. maximization) parameterized problem P is an FPT algorithm that, given an instance (x, k) ∈ P computes a solution of cost at mo...

    Rajesh Chitnis, MohammadTaghi Hajiaghayi in Parameterized and Exact Computation (2013)

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    Chapter and Conference Paper

    Faster Exact Algorithms for Some Terminal Set Problems

    Many problems on graphs can be expressed in the following language: given a graph G = (V,E) and a terminal set T ⊆ V, find a minimum size set S ⊆ V which intersects all “structures” (such as cycles or paths) pass...

    Rajesh Chitnis, Fedor V. Fomin, Daniel Lokshtanov in Parameterized and Exact Computation (2013)

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    Chapter and Conference Paper

    List H-Coloring a Graph by Removing Few Vertices

    In the deletion version of the list homomorphism problem, we are given graphs G and H, a list L(v) ⊆ V(H) for each vertex v ∈ V(G), and an integer k. The task is to decide whether there exists a set W ⊆ V(G) of s...

    Rajesh Chitnis, László Egri, Dániel Marx in Algorithms – ESA 2013 (2013)

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    Chapter and Conference Paper

    Directed Subset Feedback Vertex Set Is Fixed-Parameter Tractable

    Given a graph G and an integer k, the Feedback Vertex Set (FVS) problem asks if there is a vertex set T of size at most k that hits all cycles in the graph. Bodlaender (WG ’91) gave the first fixed-parameter algo...

    Rajesh Chitnis, Marek Cygan in Automata, Languages, and Programming (2012)

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    Chapter and Conference Paper

    Parameterized Algorithms for Boxicity

    In this paper we initiate an algorithmic study of Boxicity, a combinatorially well studied graph invariant, from the viewpoint of parameterized algorithms. The boxicity of an arbitrary graph G with the vertex set...

    Abhi** Adiga, Rajesh Chitnis, Saket Saurabh in Algorithms and Computation (2010)