How can the lower rectangle method for area approximation be improved?

In summary, the conversation discusses different methods for improving the lower rectangle method for area approximation. These methods include increasing the number of rectangles, using the midpoint rule, trapezoidal rule, Simpson's rule, and higher order Newton-Cotes formulas. It is suggested to not use the Left Hand Estimate and to instead use a more accurate method, such as performing the definite integral. It is also mentioned that in the case of an increasing or decreasing function, the "left hand" and "right hand" approximations are equivalent to the "lower rectangle" and "upper rectangle" approximations. Finally, it is mentioned that "Simpson's rule" is considered the most accurate method for the same amount of work.
  • #1
rsyed5
5
0
Hi,
Can someone suggest a way to improve the lower rectangle method for area approximation...? I know one way is to increase the number of rectangles so if I put 100 instead of 5 rectangles i will get a better approximation. Another way it could be improved...?
 
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  • #2
There is the midpoint rule, the trapezoidal rule, Simpson's rule, and higher order Newton-Cotes formulas. If you are in a calculus course, all of these will be introduced to you soon, except perhaps for the Newton-Cotes formulas.
 
  • #3
As Mark has suggested, the best way to improve on the Left Hand Estimate is to not use it, but to use a more accurate method. Better yet perform the definite integral to get an exact answer. If worse comes to worse, do a Right Hand Estimate as well and average the results.
 
  • #4
In the case that a function is increasing (of decreasing) a "left hand" approximation is the same as your "lower rectangle" approximation and a "right hand" approximation is the same as an "upper rectangle" approximation. The average of the two, as Prove It suggests, is the same as the "trapezoid" method. I believe that "Simpson's rule" is the most accurate of the elementary methods for the same amount of work.
 

Related to How can the lower rectangle method for area approximation be improved?

What is the Lower Rectangle Method?

The Lower Rectangle Method is a numerical integration technique used to estimate the area under a curve by dividing it into smaller rectangles and summing their individual areas.

How does the Lower Rectangle Method work?

The Lower Rectangle Method works by approximating the curve with a series of rectangles whose height is determined by the function value at the left endpoint of each rectangle. The area of each rectangle is then calculated and added together to estimate the total area under the curve.

What are the advantages of using the Lower Rectangle Method?

One advantage of using the Lower Rectangle Method is its simplicity, making it easy to understand and implement. It also works well for functions that are difficult or impossible to integrate analytically.

What are the limitations of the Lower Rectangle Method?

The Lower Rectangle Method can only provide an approximation of the true area under the curve, and the accuracy of the estimate depends on the number of rectangles used. It also tends to underestimate the true area for functions with steep slopes or sharp curves.

How is the accuracy of the Lower Rectangle Method improved?

The accuracy of the Lower Rectangle Method can be improved by using a larger number of rectangles, making them narrower, and by using more advanced techniques such as the Trapezoidal Rule or Simpson's Rule.

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