Chapter 15: Newton's Method
The Steps in Newton's Method
 1. We start with a rough guess, which we call 
.
 2. Starting at the point 
 on the x-axis, we go up to the curve, hitting it at the point (
).
 3.Now we slide down the 
tangent line
 to the curve at  (
), and take the point where this tangent line hits the x-axis as our improved estimate for the desired x-value. Call this value 
. (See the diagram below.)
The tangent line has slope 
 and passes through the points (
) and (
). This gives the equation:
=   
  or solving  
  =  
 4.  Replace 
 by  
 and repeat as often as needed.
Thus we will produce a sequence of guesses 
, ...  and 
hopefully these will get closer and closer to a root.
 
The main questions are how often do we need to do this and will it actually give the right answer. First note that if we land on a root, i.e. 
, then 
 and thus, we can quit if  we have 
. In general, it makes sense to keep track of  the difference between 
 and 
 and quit when the difference gets smaller than the desired accuracy.
If our function has several roots and if we start close to a root, then the Newton's Method can lead us astray and take us to some other root. Usually this happens because the denominator in our formula 
 is small and this causes 
 to be far away from 
. In an extreme case, we could have 
 and 
  running off to infinity! It is also possible to create situations where 
 and so we get into an infinite loop! This is easy to avoid, since a slight change in 
 will usually get us out of this situation. We will illustrate these peculiarities in the exercises below. In general, Newton's method is reliable when the derivative is well defined and does not become too small in the region of interest.
code for Newton method diagram
A less wordy description of the process is to use the formulas:
;
;
, 
, 
... etc.
 How do we know when we are close enough?  Two things happen: (1) when we plug our approximate value 
 into f(x) we get something very near zero, and (2) our successive approximations 
 and 
 are very close together.  For example, if we want three decimal places of accuracy, then once we have two successive approximations which agree out to three decimal places, we need go no further. In the homework and exam problems, you will usually be told how many iterations to perform:  "one iteration" means finding 
, "two iterations"  means finding 
, and so on.  If, on the other hand, the directions specify the desired accuracy ("three decimal places,"  for example), then just keep  
iterating Newton's method
 until the only changes in your value from one iteration to the next occur beyond the decimal places needed.
The first step is to set up the function we want to equal zero.  We set 
, since  
 is a root of that function.  Since we know  
, we can make a rough guess of 
.  We are now ready to apply the formula for Newton's method.  Here 
 is, of course, 
.  We obtain:
 
 = 
.
Actually,
 is the same value we would have obtained using the tangent line approximation.  But with the tangent line approximation, if our approximate value isn't good enough, there is nothing further we can do. However, with Newton's method we can improve this approximate value 10.1 to 
.  That is, we successively compute:
 
 = 
;
  
 = 
.
Thus,  
....  If we computed 
, etc., we would get the same as 
 out to 8 places past the decimal point.
STEPS IN A NEWTON METHOD STORY PROBLEM
1. Decide what equation you want to solve, and what variable is playing the role of x.
2. Simplify algebraically if you can (dividing out constants, clearing denominators).
3. Bring everything to one side of the = , so you have f(x) = 0.
4. Apply Newton's method for the required number of iterations.
We first write out the condition on the total cost, using the formulas  4/ 3 
 for the volume and 
 for the surface area of a marble: 
.  In Newton's method we need our equation in the form f(x) = 0 (rather, f(r) = 0 in this problem), and this means bringing everything over to the left of the equal sign.  In addition, for convenience we'll divide through by the coefficient of 
, thereby obtaining: f(r) = 
.  Notice that this is a third degree equation.  A third degree equation can be solved algebraically, but the formula is much more complicated than the quadratic formula.  If you want an approximate answer, then Newton's method is much faster.  We use the Newton's method formula with x replaced by r, and with 
.  Here 
.  We obtain:
  
  = 
 = 0.3076  inch.
In this example we want to find the maximum value of y(t).  We do this by setting the vertical component of velocity dy/dt equal to zero:
 0 =  
 
.
We take 
 as our first approximate value, and apply Newton's method with f(t) taken to be the vertical velocity function 
.  Then 
 (this function is actually the vertical component of the acceleration of the tip of the baton).  So Newton's method gives:
    
 = 0.35 -  
;  
   
 = ... = 0.341989;    
 =  ... = 0.341975;  
 =  ... = 0.341975.
 So 
 is accurate to 6 decimal places (the last digit could conceivably be off by 1 due to rounding).  Thus, the baton's tip reaches its maximum height at t = 0.341975 sec.  Finally, to find the maximum height reached, we substitute this value of t into the height function 
.  We obtain 8.90326 ft.
To solve this, we first write the parameterized equations for the plane
,   
, 
 
and for the missile
  
,
.
 
At the time t when the 
missile
 hits the plane, the coordinates of the missile must be equal to the corresponding coordinates of the plane.  This means that in the horizontal direction we have:
,   i.e., 
;
and in the vertical direction
 
.
We substitute the value for t (determined from the horizontal motion) into the last equation, clear denominators, and move everything to the left of the equal sign:
.  Dividing through by 1000 for convenience, we arrive at the equation: 
 = 0.  Since the problem mentioned that a rough guess would be to aim the missile at the point (2,2) (a half-mile in front of the plane), which means an angle of  
 radians, it makes sense to take  
.  Here we have 
, so Newton's method gives:
 
=  
/4 - f( 
)/( 
( 
 ) = 0.785398-  (-0.29289)/(-4.94975) = 0.726225;  
 
 =  ... = 0.725937;   
 = ... 0.725937  rad  = 
.
Finally, if we want to take gravity into account, we must add the term - 
 to 
, where the gravitational constant g is converted from 9.80665 m/
 to 78980 mi/
 (using the fact that 1 mi  =  1609.3 m, and 1 hr  = 3600 sec).
Since nothing changes in the horizontal direction, we still have 
).  As before, we equate the y-coordinates of the plane and the missile and clear denominators, which now means multiplying through by 
.  We divide through by 1000000 (for convenience), and bring everything over to the left.  The result is:
 
.
 This is what we use for our 
 in Newton's method.