In mathematical analysis, asymptotic analysis, also known as asymptotics, is a method of describing limiting behavior.. As an illustration, suppose that we are interested in the properties of a function f (n) as n becomes very large. If f(n) = n 2 + 3n, then as n becomes very large, the term 3n becomes insignificant compared to n 2.The function f(n) is said to be "asymptotically …

In mathematics and physics, homogenization is a method of studying partial differential equations with rapidly oscillating coefficients, such as (()) =where is a very small parameter and is a 1-periodic coefficient: (+) = (), =, …,.. It turns out that the study of these equations is also of great importance in physics and engineering, since equations of this type govern the physics of ...

In analytic geometry, an asymptote (/ ˈ æ s ɪ m p t oʊ t /) of a curve is a line such that the distance between the curve and the line approaches zero as one or both of the x or y coordinates tends to infinity.In projective geometry and related contexts, an asymptote of a curve is a line which is tangent to the curve at a point at infinity.. The word asymptote is derived from the …

An algorithm is said to be constant time (also written as () time) if the value of () (the complexity of the algorithm) is bounded by a value that does not depend on the size of the input. For example, accessing any single element in an array takes constant time as only one operation has to be performed to locate it. In a similar manner, finding the minimal value in an array sorted in ...

In mathematics and statistics, an asymptotic distribution is a probability distribution that is in a sense the "limiting" distribution of a sequence of distributions. One of the main uses of the idea of an asymptotic distribution is in providing approximations to the cumulative distribution functions of statistical estimators .

In statistics, a contingency table (also known as a cross tabulation or crosstab) is a type of table in a matrix format that displays the (multivariate) frequency distribution of the variables. They are heavily used in survey research, business intelligence, engineering, and scientific research. They provide a basic picture of the interrelation between two variables and can help find ...

Bayesian inference is a method of statistical inference in which Bayes' theorem is used to update the probability for a hypothesis as more evidence or information becomes available. Bayesian inference is an important technique in statistics, and especially in mathematical statistics.Bayesian updating is particularly important in the dynamic analysis of a sequence of …

In statistics and probability theory, the median is the value separating the higher half from the lower half of a data sample, a population, or a probability distribution.For a data set, it may be thought of as "the middle" value.The basic feature of the median in describing data compared to the mean (often simply described as the "average") is that it is not skewed by a small …

Usage. Big O notation has two main areas of application: In mathematics, it is commonly used to describe how closely a finite series approximates a given function, especially in the case of a truncated Taylor series or asymptotic expansion; In computer science, it is useful in the analysis of algorithms; In both applications, the function g(x) appearing within the O(·) is typically …

In linguistics, a yes–no question, also known as a binary question, a polar question, or a general question is a question whose expected answer is one of two choices, one that provides an affirmative answer to the question versus one that provides a negative answer to the question. Typically, in English, the choices are either "yes" or "no".Yes–no questions present an …