Numerical integration

In <a href="/facts/Numerical_analysis/QT9cYa9z">analysis</a>, numerical integration comprises a broad family of <a href="/facts/Algorithm/fnl5NmRt">algorithms</a> for calculating the numerical value of a definite <a href="/facts/Integral/V7lyV997">integral</a>.
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.
Numerical integration has roots in the geometrical problem of finding a square with the same area as a given plane figure (<a href="/facts/Quadrature_(geometry)/j5l94Hka">quadrature</a> or squaring), as in the <a href="/facts/Quadrature_of_the_circle/BxFrDIPA">quadrature of the circle</a>.
The term is also sometimes used to describe the <a href="/facts/Numerical_ordinary_differential_equations/rbrYBco3">numerical solution of differential equations</a>.

Numerical integration open-in-new

Numerical integration