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Anuj Tawari

dblp:173/3939 · DBLP profile ↗
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4ranked-venue papers
0as first author
1since 2021 · last 2023
0000-0003-1538-6084ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Theory of computation · 3Artificial intelligence and machine learning · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
1 paper
Computational complexity · 38% Algorithms and data structures · 38% Graph algorithms and graph theory · 23%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational complexity › complexity classes
dynamic complexity
0.412020
Dynamic Complexity of Reachability: How Many Changes Can We Handle? · ICALP 2020
Algorithms and data structures › dynamic algorithms › dynamic graph algorithms
dynamic reachability
0.412020
Dynamic Complexity of Reachability: How Many Changes Can We Handle? · ICALP 2020
Graph algorithms and graph theory › graph theory › graph parameters › graph width parameters › treewidth
bounded treewidth
0.112020
Dynamic Complexity of Reachability: How Many Changes Can We Handle? · ICALP 2020
Graph algorithms and graph theory
planar graphs
0.112020
Dynamic Complexity of Reachability: How Many Changes Can We Handle? · ICALP 2020

Methods — techniques the papers use, named apart from their topics

modulo 2 quantifier · 0.4majority quantifier · 0.4first-order logic · 0.4
YearPublicationVenuePosition
2023 Exactly k MSTs: How Many Vertices Suffice?
Apratim Dutta, Rahul Muthu, Anuj Tawari, V. Sunitha
COCOA (1)3
2020 Dynamic Complexity of Reachability: How Many Changes Can We Handle?
abstract
In 2015, it was shown that reachability for arbitrary directed graphs can be updated by first-order formulas after inserting or deleting single edges. Later, in 2018, this was extended for changes of size $\frac{\log n}{\log \log n}$, where $n$ is the size of the graph. Changes of polylogarithmic size can be handled when also majority quantifiers may be used. In this paper we extend these results by showing that, for changes of polylogarithmic size, first-order update formulas suffice for maintaining (1) undirected reachability, and (2) directed reachability under insertions. For classes of directed graphs for which efficient parallel algorithms can compute non-zero circulation weights, reachability can be maintained with update formulas that may use "modulo 2" quantifiers under changes of polylogarithmic size. Examples for these classes include the class of planar graphs and graphs with bounded treewidth. The latter is shown here. As the logics we consider cannot maintain reachability under changes of larger sizes, our results are optimal with respect to the size of the changes.
Samir Datta, Anish Mukherjee 0001, Anuj Tawari, Nils Vortmeier, Thomas Zeume
ICALP4
2018 Sums of read-once formulas: How many summands are necessary?
Meena Mahajan, Anuj Tawari
Theor. Comput. Sci.2
2017 Computing the Maximum using (min, +) Formulas
abstract
We study computation by formulas over (min,+). We consider the computation of max{x_1,...,x_n} over N as a difference of (min,+) formulas, and show that size n + n \log n is sufficient and necessary. Our proof also shows that any (min,+) formula computing the minimum of all sums of n-1 out of n variables must have n \log n leaves; this too is tight. Our proofs use a complexity measure for (min,+) functions based on minterm-like behaviour and on the entropy of an associated graph.
Meena Mahajan, Prajakta Nimbhorkar, Anuj Tawari
MFCS3