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AF:Small: Extremal Combinatorics and Analysis of Algorithms — NSF Award to Regents of the University of Michigan - Ann Arbor (MI,

Extremal combinatorics is an area of discrete mathematics that studies questions of how large an object can be while still avoiding a certain pattern. For example, how many people can be at a party where no group of 4 people are mutual friends nor mutual strangers? Or, how many points can be placed in a grid so that no

Award titleAF:Small: Extremal Combinatorics and Analysis of Algorithms
Award ID2446604
AwardeeRegents of the University of Michigan - Ann Arbor
CityANN ARBOR
StateMI
Amount obligated$600,000
Principal investigatorSeth Pettie
ProgramAlgorithmic Foundations
Start date01/01/2026
AbstractExtremal combinatorics is an area of discrete mathematics that studies questions of how large an object can be while still avoiding a certain pattern. For example, how many people can be at a party where no group of 4 people are mutual friends nor mutual strangers? Or, how many points can be placed in a grid so that no three are on a line? The first goal of this project is to solve basic classification questions in the theory of pattern avoiding 0-1 matrices, which studies the following type of
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