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== Related fields == [[Image:Kissing-3d.png|150px|right|thumb|[[kissing number|Kissing spheres]] are connected to both [[coding theory]] and [[discrete geometry]].]] === Combinatorial optimization === [[Combinatorial optimization]] is the study of optimization on discrete and combinatorial objects. It started as a part of combinatorics and graph theory, but is now viewed as a branch of applied mathematics and computer science, related to [[operations research]], [[Analysis of algorithms|algorithm theory]] and [[computational complexity theory]]. === Coding theory === [[Coding theory]] started as a part of design theory with early combinatorial constructions of [[error-correcting code]]s. The main idea of the subject is to design efficient and reliable methods of data transmission. It is now a large field of study, part of [[information theory]]. === Discrete and computational geometry === [[Discrete geometry]] (also called combinatorial geometry) also began as a part of combinatorics, with early results on [[convex polytope]]s and [[kissing number]]s. With the emergence of applications of discrete geometry to [[computational geometry]], these two fields partially merged and became a separate field of study. There remain many connections with geometric and topological combinatorics, which themselves can be viewed as outgrowths of the early discrete geometry. ===Combinatorics and dynamical systems=== [[Combinatorics and dynamical systems|Combinatorial aspects of dynamical systems]] is another emerging field. Here dynamical systems can be defined on combinatorial objects. See for example [[graph dynamical system]]. ===Combinatorics and physics=== There are increasing interactions between [[combinatorics and physics]], particularly [[statistical physics]]. Examples include an exact solution of the [[Ising model]], and a connection between the [[Potts model]] on one hand, and the [[chromatic polynomial|chromatic]] and [[Tutte polynomial]]s on the other hand.
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