Simpson's Rule is a method used to estimate the area underneath a curve. It's especially good for polynomial functions, which are just expressions that look like ( ax^n + bx^{n-1} + \ldots ) where ( a ) and ( b ) are numbers and ( n ) is a whole number.
This rule is better at estimating areas than another method called the Trapezoidal Rule. Instead of using straight lines, Simpson's Rule uses curved shapes called parabolas. This helps to get a more accurate answer!
Formula: To use Simpson's Rule, you take a function ( f(x) ) over a range from ( a ) to ( b ) and divide it into ( n ) equal parts. Remember, ( n ) must be an even number. The formula to estimate the area ( A ) is:
Here, ( h ) is found by ( h = \frac{b - a}{n} ).
Accuracy: Simpson's Rule is very accurate, with an error rate that is ( O(h^4) ). This is much better than the Trapezoidal Rule, which has an error rate of ( O(h^2) ).
Thanks to this better accuracy, Simpson's Rule can give you more precise estimates for the area under curves, especially when the function behaves smoothly and can be closely represented by parabolas.
Simpson's Rule is a method used to estimate the area underneath a curve. It's especially good for polynomial functions, which are just expressions that look like ( ax^n + bx^{n-1} + \ldots ) where ( a ) and ( b ) are numbers and ( n ) is a whole number.
This rule is better at estimating areas than another method called the Trapezoidal Rule. Instead of using straight lines, Simpson's Rule uses curved shapes called parabolas. This helps to get a more accurate answer!
Formula: To use Simpson's Rule, you take a function ( f(x) ) over a range from ( a ) to ( b ) and divide it into ( n ) equal parts. Remember, ( n ) must be an even number. The formula to estimate the area ( A ) is:
Here, ( h ) is found by ( h = \frac{b - a}{n} ).
Accuracy: Simpson's Rule is very accurate, with an error rate that is ( O(h^4) ). This is much better than the Trapezoidal Rule, which has an error rate of ( O(h^2) ).
Thanks to this better accuracy, Simpson's Rule can give you more precise estimates for the area under curves, especially when the function behaves smoothly and can be closely represented by parabolas.