Simpson's rule

Encyclopedia

In numerical analysis

,

, the numerical approximation of definite integrals. Specifically, it is the following approximation:

Simpson's rule also corresponds to the 3-point Newton-Cotes quadrature rule

.

The method is credited to the mathematician Thomas Simpson

(1710–1761) of Leicestershire, England. Kepler used similar formulas over 100 years prior and in German the method is sometimes called

Simpson's rule is a staple of scientific data analysis and engineering. It is widely used, for example, by Naval architects

to calculate the capacity of a ship or lifeboat

.

which takes the same values as at the end points

to find an expression for this polynomial,

An easy (albeit tedious) calculation shows that

This calculation can be carried out more easily if one first observes that (by scaling) there is no loss of generality

in assuming that and .

and the trapezoidal rule

The errors in these approximations are

respectively. It follows that the leading error term vanishes if we take the weighted average

This weighted average is exactly Simpson's rule.

Using another approximation (for example, the trapezoidal rule with twice as many points), it is possible to take a suitable weighted average and eliminate another error term. This is Romberg's method

.

The coefficients α, β and γ can be fixed by requiring that this approximation be exact for all quadratic polynomials. This yields Simpson's rule.

where is some number between and .

The error is asymptotically proportional to . However, the above derivations suggest an error proportional to . Simpson's rule gains an extra order because the points at which the integrand is evaluated are distributed symmetrically in the interval [

Simpson's rule provides exact results for any polynomial of degree three or less, since the error term involves the fourth derivative of

However, it is often the case that the function we are trying to integrate is not smooth over the interval. Typically, this means that either the function is highly oscillatory, or it lacks derivatives at certain points. In these cases, Simpson's rule may give very poor results. One common way of handling this problem is by breaking up the interval into a number of small subintervals. Simpson's rule is then applied to each subinterval, with the results being summed to produce an approximation for the integral over the entire interval. This sort of approach is termed the

Suppose that the interval is split up in subintervals, with an even number. Then, the composite Simpson's rule is given by

where for with ; in particular, and . The above formula can also be written as

The error committed by the composite Simpson's rule is bounded (in absolute value) by

where is the "step length", given by

This formulation splits the interval in subintervals of equal length. In practice, it is often advantageous to use subintervals of different lengths, and concentrate the efforts on the places where the integrand is less well-behaved. This leads to the adaptive Simpson's method

.

The error of this method is:

where is some number between and . Thus, the 3/8 rule is about twice as accurate as the standard method, but it uses one more function value. A composite 3/8 rule also exists, similarly as above.

Simpson's 3/8 rule is used by Naval architects to calculate a merchant cargo ship's lifeboat capacity.

Numerical analysis

Numerical analysis is the study of algorithms that use numerical approximation for the problems of mathematical analysis ....

,

**Simpson's rule**is a method for numerical integrationNumerical integration

In numerical analysis, numerical integration constitutes 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...

, the numerical approximation of definite integrals. Specifically, it is the following approximation:

Simpson's rule also corresponds to the 3-point Newton-Cotes quadrature rule

Newton-Cotes formulas

In numerical analysis, the Newton–Cotes formulae, also called the Newton–Cotes quadrature rules or simply Newton–Cotes rules, are a group of formulae for numerical integration based on evaluating the integrand at equally-spaced points...

.

The method is credited to the mathematician Thomas Simpson

Thomas Simpson

Thomas Simpson FRS was a British mathematician, inventor and eponym of Simpson's rule to approximate definite integrals...

(1710–1761) of Leicestershire, England. Kepler used similar formulas over 100 years prior and in German the method is sometimes called

*Keplersche Fassregel*for this reason.Simpson's rule is a staple of scientific data analysis and engineering. It is widely used, for example, by Naval architects

Naval architecture

Naval architecture is an engineering discipline dealing with the design, construction, maintenance and operation of marine vessels and structures. Naval architecture involves basic and applied research, design, development, design evaluation and calculations during all stages of the life of a...

to calculate the capacity of a ship or lifeboat

Lifeboat (shipboard)

A lifeboat is a small, rigid or inflatable watercraft carried for emergency evacuation in the event of a disaster aboard ship. In the military, a lifeboat may be referred to as a whaleboat, dinghy, or gig. The ship's tenders of cruise ships often double as lifeboats. Recreational sailors sometimes...

.

### Quadratic interpolation

One derivation replaces the integrand by the quadratic polynomialQuadratic polynomial

In mathematics, a quadratic polynomial or quadratic is a polynomial of degree two, also called second-order polynomial. That means the exponents of the polynomial's variables are no larger than 2...

which takes the same values as at the end points

*a*and*b*and the midpoint*m*= (*a*+*b*) / 2. One can use Lagrange polynomial interpolationLagrange polynomial

In numerical analysis, Lagrange polynomials are used for polynomial interpolation. For a given set of distinct points x_j and numbers y_j, the Lagrange polynomial is the polynomial of the least degree that at each point x_j assumes the corresponding value y_j...

to find an expression for this polynomial,

An easy (albeit tedious) calculation shows that

This calculation can be carried out more easily if one first observes that (by scaling) there is no loss of generality

Without loss of generality

Without loss of generality is a frequently used expression in mathematics...

in assuming that and .

### Averaging the midpoint and the trapezoidal rules

Another derivation constructs Simpson's rule from two simpler approximations: the midpoint ruleand the trapezoidal rule

The errors in these approximations are

respectively. It follows that the leading error term vanishes if we take the weighted average

This weighted average is exactly Simpson's rule.

Using another approximation (for example, the trapezoidal rule with twice as many points), it is possible to take a suitable weighted average and eliminate another error term. This is Romberg's method

Romberg's method

In numerical analysis, Romberg's method is used to estimate the definite integral \int_a^b f \, dx by applying Richardson extrapolation repeatedly on the trapezium rule or the rectangle rule . The estimates generate a triangular array...

.

### Undetermined coefficients

The third derivation starts from the*ansatz*

Ansatz

Ansatz is a German noun with several meanings in the English language.It is widely encountered in physics and mathematics literature.Since ansatz is a noun, in German texts the initial a of this word is always capitalised.-Definition:...

The coefficients α, β and γ can be fixed by requiring that this approximation be exact for all quadratic polynomials. This yields Simpson's rule.

## Error

The error in approximating an integral by Simpson's rule iswhere is some number between and .

The error is asymptotically proportional to . However, the above derivations suggest an error proportional to . Simpson's rule gains an extra order because the points at which the integrand is evaluated are distributed symmetrically in the interval [

*a*,*b*].Simpson's rule provides exact results for any polynomial of degree three or less, since the error term involves the fourth derivative of

*f*.## Composite Simpson's rule

If the interval of integration is in some sense "small", then Simpson's rule will provide an adequate approximation to the exact integral. By small, what we really mean is that the function being integrated is relatively smooth over the interval . For such a function, a smooth quadratic interpolant like the one used in Simpson's rule will give good results.However, it is often the case that the function we are trying to integrate is not smooth over the interval. Typically, this means that either the function is highly oscillatory, or it lacks derivatives at certain points. In these cases, Simpson's rule may give very poor results. One common way of handling this problem is by breaking up the interval into a number of small subintervals. Simpson's rule is then applied to each subinterval, with the results being summed to produce an approximation for the integral over the entire interval. This sort of approach is termed the

*composite Simpson's rule*.Suppose that the interval is split up in subintervals, with an even number. Then, the composite Simpson's rule is given by

where for with ; in particular, and . The above formula can also be written as

The error committed by the composite Simpson's rule is bounded (in absolute value) by

where is the "step length", given by

This formulation splits the interval in subintervals of equal length. In practice, it is often advantageous to use subintervals of different lengths, and concentrate the efforts on the places where the integrand is less well-behaved. This leads to the adaptive Simpson's method

Adaptive Simpson's method

Adaptive Simpson's method, also called adaptive Simpson's rule, is a method of numerical integration proposed by G.F. Kuncir in 1962. It is probably the first recursive adaptive algorithm for numerical integration to appear in print, although more modern adaptive methods based on Gauss–Kronrod...

.

## Alternative extended Simpson's rule

This is another formulation of a composite Simpson's rule: instead of applying Simpson's rule to disjoint segments of the integral to be approximated, Simpson's rule is applied to overlapping segments, yielding:## Simpson's 3/8 rule

Simpson's 3/8 rule is another method for numerical integration proposed by Thomas Simpson. It is based upon a cubic interpolation rather than a quadratic interpolation. Simpson's 3/8 rule is as follows:The error of this method is:

where is some number between and . Thus, the 3/8 rule is about twice as accurate as the standard method, but it uses one more function value. A composite 3/8 rule also exists, similarly as above.

Simpson's 3/8 rule is used by Naval architects to calculate a merchant cargo ship's lifeboat capacity.