Simpson's Rule
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Simpson’s Rule is a technique utilized for numerical integration. It gives an estimate for the value of a definite integral.
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It is named after its inventor, Thomas Simpson, who was an 18th Century British mathematician.
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The rule provides an approximation of the definite integral of a function, which is more accurate than the approximation produced using the Trapezium Rule.
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When applying Simpson’s Rule, the interval over which we integrate (b - a) is split into even sub-intervals.
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The approximation generated by Simpson’s Rule is attained by calculating the area of a series of parabolas which straddle these sub-intervals.
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Unlike the Trapezium Rule, which utilises straight line segments to approximate the function, Simpson’s Rule uses quadratic functions, making it generally more accurate.
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The basic formula for Simpson’s Rule is given as: ∫ (from a to b) f(x) dx ≈ (b - a)/6[n* (f(a) + 4f((a+b)/2) + f(b)]
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Notice that the formula for Simpson’s Rule includes an f((a+b)/2) term, signifying that Simpson’s Rule takes into account the midpoint of the interval, in addition to the end points.
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In order to use Simpson’s Rule, one needs to have a function which is integrable and has a continuous second derivative.
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The more segments you use (i.e., the smaller the width of each segment), the more accurate your result will generally be. However, there is a trade-off in terms of computational resources, as using more segments requires more computation.
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It’s essential to remember that Simpson’s Rule is just an approximation. The real value of the definite integral could be slightly more or less than the value calculated using the rule.
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Simpson’s Rule is generally more accurate than using the Midpoint or Trapezium Rule when the being-integrated function is well-approximated by a series of parabolas.
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The effectiveness of Simpson’s Rule is significantly reduced if the function has an inflection point within the interval [a,b].