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**John Daniel ^{*}**

Department of Mathematics and Statistics, The University of Cambridge, Cambridge, United Kingdom

- *Corresponding Author:
- John Daniel

Department of Mathematics and Statistics,

The University of Cambridge, Cambridge, United Kingdom,

**E-mail:**[email protected]

**Received:** 09-Feb-2022, Manuscript No. JSMS-22-55244; **Editor assigned:** 11- Feb-2022, Pre QC No. JSMS-22-55244 (PQ); **Reviewed:** 25- Feb-2022, QC No. JSMS-22-55244; **Accepted: **28-Feb-2022, Manuscript No.** **JSMS-22-55244 (A); **Published:** 07-Mar-2022, DOI: 10.4172/ J Stats Math Sci.8.2.004.

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**Combinatorics**

Combinatorics is a branch of mathematics that deals with counting as a means and an end to obtaining results, as well as certain features of finite structures. It has various applications spanning from logic to statistical physics and from evolutionary biology to computer science. It is strongly connected to many other fields of mathematics.

The full scope of combinatorics isn't well recognized. A definition of the topic, according to H.J. Ryser, is problematic since it traverses so many mathematical subdivisions. Combinatorics is associated with Insofar, as an area can be characterized by the sorts of problems it solves, it is involved with:

• The enumeration (counting) of specified structures, sometimes referred to as arrangements or configurations in a broad sense, associated with finite systems.

• Existence of such structures that fulfill certain defined criteria.

• The construction of these structures, possibly in a variety of ways, and optimization: finding the "best" structure or solution among several options, whether it is the "largest," "smallest," or satisfying some other optimality criterion.

**Enumerative combinatorics**

The most traditional branch of combinatorics is enumerative combinatorics, which focuses on counting the number of different combinatorial objects. Despite the fact that counting the number of items in a set is a somewhat large mathematical topic, many of the difficulties that emerge in applications have a fairly simple combinatorial explanation. Fibonacci numbers are the most fundamental example of an enumerative combinatorics issue. For counting permutations, combinations, and partitions, the twelvefold method provides a consistent framework.

**Analytic combinatorics**

The study of combinatorial structures using methods from complex analysis and probability theory is known as analytic combinatorics. Analytic combinatorics aims to obtain asymptotic formulas, as opposed to enumerative combinatorics, which utilizes explicit combinatorial formulae and generating functions to describe the solutions.

**Partition theory**

Partition theory is strongly connected to q-series, special functions, and orthogonal polynomials, and it investigates different enumeration and asymptotic issues relating to integer partitions. It was once regarded a component of number theory and analysis, but is now considered a branch of combinatorics or a separate discipline. It has linkages to statistical mechanics and involves the continuous function method as well as different techniques in analysis and analytic number theory.

**Graph theory**

In combinatorics, graphs are fundamental objects. Enumeration (e.g., the number of graphs on n vertices with k edges) to existent structures (e.g., Hamiltonian cycles) to algebraic representations are all topics in graph theory. Graph theory and combinatorics are often conceived of as independent sciences, despite the fact that they have strong linkages. While combinatorial approaches may be utilized to solve many graph theory issues, the two disciplines are often employed to solve problems of distinct sorts.

**Design theory**

Combinatorial designs, which are collections of subsets with specified intersection qualities, are the subject of design theory. Block designs are a subset of combinatorial designs. This is one of the earliest branches of combinatorics, as evidenced by Kirkman's 1850 school girl problem. The problem's solution is a specific case of a Steiner system, which are essential in the classification of finite simple groups. There are further ties to coding theory and geometric combinatorics in this field.

**Finite geometry**

The study of geometric systems with a finite number of points is known as finite geometry. The major things addressed are structures similar to those found in continuous geometries (Euclidean plane, real projective space, etc.) but specified combinatorial. This section contains a wealth of design theory examples. Discrete geometry is not to be confused with it (combinatorial geometry).

**Order theory**

The study of partially ordered sets, both finite and infinite, is known as order theory. Partial orders can be found in algebra, geometry, number theory, combinatorics, and graph theory, among other places. Lattices and Boolean algebras are two well-known partial order classes and instances.

**Matroid theory**

Part of geometry is abstracted in matroid theory. It investigates the characteristics of sets (often finite sets) of vectors in a vector space that are unaffected by the coefficients in a linear dependency relationship. Matroid theory encompasses not just structure but also enumerative qualities. Hassler Whitney invented matroid theory, which was studied as part of order theory. It is currently a distinct topic of research with several ties to other branches of combinatorics.

**Extremal combinatorics**

Extremal combinatorics is the study of set systems' extreme issues. In this context, the sorts of problems addressed concern the biggest feasible graph that fulfils particular features. The biggest triangle-free graph with 2n vertices, for example, is a complete bipartite graph Kn,n. Often, even finding the extremal solution f(n) precisely is too difficult, and the most one can do is provide an asymptotic approximation.