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The term "numerical integration" first appears in 1915 in the publication A Course in Interpolation and Numeric Integration for the Mathematical Laboratory by David Gibb. [2] "Quadrature" is a historical mathematical term that means calculating area. Quadrature problems have served as one of the main sources of mathematical analysis.
Composite Simpson's 3/8 rule is even less accurate. Integration by Simpson's 1/3 rule can be represented as a weighted average with 2/3 of the value coming from integration by the trapezoidal rule with step h and 1/3 of the value coming from integration by the rectangle rule with step 2h. The accuracy is governed by the second (2h step) term.
A 2016 Science paper reports that the trapezoid rule was in use in Babylon before 50 BCE for integrating the velocity of Jupiter along the ecliptic. [1]In 1994, a paper titled "A Mathematical Model for the Determination of Total Area Under Glucose Tolerance and Other Metabolic Curves" was published, only to be met with widespread criticism for rediscovering the Trapezoidal Rule and coining it ...
The problem in numerical integration is to approximate definite integrals of the form ∫ a b f ( x ) d x . {\displaystyle \int _{a}^{b}f(x)\,dx.} Such integrals can be approximated, for example, by n -point Gaussian quadrature
An illustration of Monte Carlo integration. In this example, the domain D is the inner circle and the domain E is the square. Because the square's area (4) can be easily calculated, the area of the circle (π*1.0 2) can be estimated by the ratio (0.8) of the points inside the circle (40) to the total number of points (50), yielding an approximation for the circle's area of 4*0.8 = 3.2 ≈ π.
Their use is also known as "numerical integration", although this term can also refer to the computation of integrals. Many differential equations cannot be solved exactly. For practical purposes, however – such as in engineering – a numeric approximation to the solution is often sufficient.
In numerical analysis, Romberg's method [1] is used to estimate the definite integral by applying Richardson extrapolation [2] repeatedly on the trapezium rule or the rectangle rule (midpoint rule). The estimates generate a triangular array .
The method of steepest descent is a method to approximate a complex integral of the form = () for large , where () and () are analytic functions of . Because the integrand is analytic, the contour C {\displaystyle C} can be deformed into a new contour C ′ {\displaystyle C'} without changing the integral.