Similarities between Fast Fourier transform and Mathematics
Fast Fourier transform and Mathematics have 13 things in common (in Unionpedia): Algorithm, Approximation theory, Carl Friedrich Gauss, Complex number, Computational complexity theory, Fast Fourier transform, Group (mathematics), Group theory, Number theory, Numerical analysis, Polynomial, Prime number, Round-off error.
Algorithm
In mathematics and computer science, an algorithm is an unambiguous specification of how to solve a class of problems.
Algorithm and Fast Fourier transform · Algorithm and Mathematics ·
Approximation theory
In mathematics, approximation theory is concerned with how functions can best be approximated with simpler functions, and with quantitatively characterizing the errors introduced thereby.
Approximation theory and Fast Fourier transform · Approximation theory and Mathematics ·
Carl Friedrich Gauss
Johann Carl Friedrich Gauss (Gauß; Carolus Fridericus Gauss; 30 April 177723 February 1855) was a German mathematician and physicist who made significant contributions to many fields, including algebra, analysis, astronomy, differential geometry, electrostatics, geodesy, geophysics, magnetic fields, matrix theory, mechanics, number theory, optics and statistics.
Carl Friedrich Gauss and Fast Fourier transform · Carl Friedrich Gauss and Mathematics ·
Complex number
A complex number is a number that can be expressed in the form, where and are real numbers, and is a solution of the equation.
Complex number and Fast Fourier transform · Complex number and Mathematics ·
Computational complexity theory
Computational complexity theory is a branch of the theory of computation in theoretical computer science that focuses on classifying computational problems according to their inherent difficulty, and relating those classes to each other.
Computational complexity theory and Fast Fourier transform · Computational complexity theory and Mathematics ·
Fast Fourier transform
A fast Fourier transform (FFT) is an algorithm that samples a signal over a period of time (or space) and divides it into its frequency components.
Fast Fourier transform and Fast Fourier transform · Fast Fourier transform and Mathematics ·
Group (mathematics)
In mathematics, a group is an algebraic structure consisting of a set of elements equipped with an operation that combines any two elements to form a third element and that satisfies four conditions called the group axioms, namely closure, associativity, identity and invertibility.
Fast Fourier transform and Group (mathematics) · Group (mathematics) and Mathematics ·
Group theory
In mathematics and abstract algebra, group theory studies the algebraic structures known as groups.
Fast Fourier transform and Group theory · Group theory and Mathematics ·
Number theory
Number theory, or in older usage arithmetic, is a branch of pure mathematics devoted primarily to the study of the integers.
Fast Fourier transform and Number theory · Mathematics and Number theory ·
Numerical analysis
Numerical analysis is the study of algorithms that use numerical approximation (as opposed to general symbolic manipulations) for the problems of mathematical analysis (as distinguished from discrete mathematics).
Fast Fourier transform and Numerical analysis · Mathematics and Numerical analysis ·
Polynomial
In mathematics, a polynomial is an expression consisting of variables (also called indeterminates) and coefficients, that involves only the operations of addition, subtraction, multiplication, and non-negative integer exponents of variables.
Fast Fourier transform and Polynomial · Mathematics and Polynomial ·
Prime number
A prime number (or a prime) is a natural number greater than 1 that cannot be formed by multiplying two smaller natural numbers.
Fast Fourier transform and Prime number · Mathematics and Prime number ·
Round-off error
A round-off error, also called rounding error, is the difference between the calculated approximation of a number and its exact mathematical value due to rounding.
Fast Fourier transform and Round-off error · Mathematics and Round-off error ·
The list above answers the following questions
- What Fast Fourier transform and Mathematics have in common
- What are the similarities between Fast Fourier transform and Mathematics
Fast Fourier transform and Mathematics Comparison
Fast Fourier transform has 154 relations, while Mathematics has 321. As they have in common 13, the Jaccard index is 2.74% = 13 / (154 + 321).
References
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