List of Numerical Analysis Topics - Numerical Quadrature (integration)

Numerical Quadrature (integration)

Numerical integration — the numerical evaluation of an integral

  • Rectangle method — first-order method, based on (piecewise) constant approximation
  • Trapezoidal rule — second-order method, based on (piecewise) linear approximation
  • Simpson's rule — fourth-order method, based on (piecewise) quadratic approximation
    • Adaptive Simpson's method
  • Boole's rule — sixth-order method, based on the values at five equidistant points
  • Newton–Cotes formulas — generalizes the above methods
  • Romberg's method — Richardson extrapolation applied to trapezium rule
  • Gaussian quadrature — highest possible degree with given number of points
    • Chebyshev–Gauss quadrature — extension of Gaussian quadrature for integrals with weight (1 − x2)±1/2 on
    • Gauss–Hermite quadrature — extension of Gaussian quadrature for integrals with weight exp(−x2) on
    • Gauss–Jacobi quadrature — extension of Gaussian quadrature for integrals with weight (1 − x)α (1 + x)β on
    • Gauss–Laguerre quadrature — extension of Gaussian quadrature for integrals with weight exp(−x2) on
    • Gauss–Kronrod quadrature formula — nested rule based on Gaussian quadrature
    • Gauss–Kronrod rules
  • Tanh-sinh quadrature — variant of Gaussian quadrature which works well with singularities at the end points
  • Clenshaw–Curtis quadrature — based on expanding the integrand in terms of Chebyshev polynomials
  • Adaptive quadrature — adapting the subintervals in which the integration interval is divided depending on the integrand
  • Monte Carlo integration — takes random samples of the integrand
    • See also #Monte Carlo method
  • Lebedev quadrature — uses a grid on a sphere with octahedral symmetry
  • Sparse grid
  • Coopmans approximation
  • Numerical differentiation — for fractional-order integrals
    • Numerical smoothing and differentiation
    • Adjoint state method — approximates gradient of a function in an optimization problem
  • Euler–Maclaurin formula

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