-  What's integration all about? Well, we usually start by going about calculating (signed) areas:
"dA" is called an "infinitesimal" -- it's a tiny chunk of area -- tinier than anything you know ("vanishingly small")! 
What's numerical integration all about? We do pretty much the same thing, only we have
where the 
 are small, but not vanishingly small.
	
 -  There are various schemes for numerical integration:
		
		-  Left Rectangular
		
 -  Right Rectangular
		
 -  Midpoint
		
 -  Trapezoidal
		
 -  Simpson's rule.
		
 
Let's see what unifies and what distinguishes them. 
 -  Three of the rules are so called "rectangle rules" (LRR, RRR, Midpoint Rule); 
but as the image to the right (above) and the graphical insight below show,
we can think of the Midpoint rule as being a "Tangent rule":
 -  The Trapezoidal rule is really just the average of the LRR and RRRs. This gives rise to an important observation, which I want to encourage you to think about, and here it is:
When you have two estimates, you have a third.
(their arithmetic average, in this case). 
 -  Simpson's rule is a "blend" (or weighted average) of the Midpoint
and Trapezoidal rules, which perfectly balances the errors of the two
to generate a better rule:
	
	
	
	
	
Notice that the number of subintervals in Simpson's rule must be even. 
Now we can go further:
When you have two estimates, you have infinitely many more.
(their weighted arithmetic averages).
 -  Here is a hand out which emphasizes this message. Let's take a look at this:
	
	-  Check midpoint calculation
	
 -  Let's do the calculations by the formulas, for
		
	
 -  Check that we get the same things using the averages
	
 -  Calculate the true value of the integral, and compare to the
		approximations. What's surprising?  
	
 
 -  Examples:
	
 -  Links: