Extremal graph theory

Extremal graph theory

Extremal graph theory is a branch of combinatorics, itself an area of mathematics, that lies at the intersection of extremal combinatorics and graph theory. In essence, extremal graph theory studies how global properties of a graph influence local substructure.Results in extremal graph theory deal with quantitative connections between various graph properties, both global (such as the number of vertices and edges) and local (such as the existence of specific subgraphs), and problems in extremal graph theory can often be formulated as optimization problems: how big or small a parameter of a graph can be, given some constraints that the graph has to satisfy?A graph that is an optimal solution to such an optimization problem is called an extremal graph, and extremal graphs are important objects of study in extremal graph theory. Extremal graph theory is closely related to fields such as Ramsey theory, spectral graph theory, computational complexity theory, and additive combinatorics, and frequently employs the probabilistic method. (Wikipedia).

Extremal graph theory
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From playlist Graph Theory

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From playlist Graph Theory

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From playlist Graph Theory part-2

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From playlist Graph Theory part-1

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From playlist Graph Theory part-1

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From playlist Graph Theory

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From playlist Combinatorics

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From playlist Graph Theory part-2

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From playlist Graph Theory

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From playlist Abel Lectures

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From playlist 2018 - T1 - Model Theory, Combinatorics and Valued fields

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From playlist Mathematics

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Rafał Kulik: Blocks estimators in Extreme Value Theory

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From playlist SMRI Seminars

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From playlist MIT 18.217 Graph Theory and Additive Combinatorics, Fall 2019

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From playlist Mathematics

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Graph Theory: 03. Examples of Graphs

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From playlist Graph Theory part-1

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Avi Wigderson & László Lovász - The Abel Prize interview 2021

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From playlist László Lovász

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