numerical quadrature - определение. Что такое numerical quadrature
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Что (кто) такое numerical quadrature - определение

FAMILY OF ALGORITHMS FOR FINDING THE DEFINITE INTEGRAL OF A FUNCTION
Numerical Integration; Numerical quadrature; Squaring of curves; Cubature; Integral approximation; Integration point; Numerical integration (quadrature); Quadrature rules; Approximate integration; Numeric integration
  • Antique method to find the [[Geometric mean]]
  • The area of a segment of a parabola}}

Cubature         
·noun The process of determining the solid or cubic contents of a body.
cubature         
['kju:b?t??]
¦ noun the determination of the volume of a solid.
numerical analysis         
STUDY OF ALGORITHMS THAT USE NUMERICAL APPROXIMATION FOR THE PROBLEMS OF MATHEMATICAL ANALYSIS
Numerical Analysis; Numerical solution; Numerical methods; Numerical approximation; Numerically; Numerical computation; Numberic; Numerical mathematics; Numerical calculus; Numeric analysis; Numerical algorithm; Numeric method; Numeral analysis; Numerical software; Numerical programming; Numerical evaluation; Numerical calculation; Numeric computation; Numerical computing; Numerical analysis software; Numerical analyst; History of numerical analysis; Numeric algorithm
¦ noun the branch of mathematics concerned with the development and use of numerical methods for solving problems.

Википедия

Numerical integration

In analysis, numerical integration comprises a broad family of algorithms for calculating the numerical value of a definite integral, and by extension, the term is also sometimes used to describe the numerical solution of differential equations. This article focuses on calculation of definite integrals.

The term numerical quadrature (often abbreviated to quadrature) is more or less a synonym for numerical integration, especially as applied to one-dimensional integrals. Some authors refer to numerical integration over more than one dimension as cubature; others take quadrature to include higher-dimensional integration.

The basic problem in numerical integration is to compute an approximate solution to a definite integral

a b f ( x ) d x {\displaystyle \int _{a}^{b}f(x)\,dx}

to a given degree of accuracy. If f(x) is a smooth function integrated over a small number of dimensions, and the domain of integration is bounded, there are many methods for approximating the integral to the desired precision.