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Guruprerana Shabadi

dblp:349/1185 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2026
—ORCID · none

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

Theory of computation · 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
Mathematical optimization · 50% Computational complexity · 50%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Mathematical optimization
integer programming
1.012026
Optimization Modulo Integer Linear-Exponential Programs · SODA 2026
Computational complexity › complexity classes › approximation classes
optimization complexity
1.012026
Optimization Modulo Integer Linear-Exponential Programs · SODA 2026

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

complexity analysis · 1.0
YearPublicationVenuePosition
2026 Optimization Modulo Integer Linear-Exponential Programs
abstract
This paper presents the first study of the complexity of the optimization problem for integer linear-exponential programs which extend classical integer linear programs with the exponential function \(x \mapsto 2^x\) and the remainder function \((x,y) \mapsto (x \bmod 2^y)\). The problem of deciding if such a program has a solution was recently shown to be NP-complete in [Chistikov et al., ICALP’24]. The optimization problem instead asks for a solution that maximizes (or minimizes) a linear-exponential objective function, subject to the constraints of an integer linear-exponential program.
S. Hitarth, Alessio Mansutti, Guruprerana Shabadi
SODA3