The method of simple iteration involves writing the equation f(x) = 0 in a form suitable for the construction of a sequence of approximations to some root, in a repetitive fashion.
The iteration procedure is as follows.
In some way we obtain a rough approximation x0
of the desired root, which may then be substituted into
the right-hand side to give a new approximation,
. The new approximation is again substituted
into the right-hand side to give a further approximation
, and so on
until (hopefully) a sufficiently accurate approximation
to the root is obtained. This repetitive process, based
on
, is called simple iteration; provided
that
decreases as n increases, the process
tends to
. where
denotes the root.
The method of simple itcration will be used to find the root of the equation 3xex=1 to an accuracy of 4D.
One first writes
![]()
Assuming x0 = 1 and with numbers displayed to 5D, successive iterations

We see Ihat after eight iterations the root is 0.2576 to 4<I>D</I>. A graphical interpretation of the first three iterations is shown in Figure

FIGURE 8. Iterative method.
Whether or not an iteration procedure
converges quickly, or indeed at all, depends on the
choice of the function
, as well as the starting value x0.
For example, thc equation x2 = 3 has
two real roots:
. It can be rewritten in the form
![]()
which suggests the iteration
![]()
However, if the starting value x0 = 1 is used, successive iterations yield

so that there is no convergence!
We can examine the convergence of the iteration process
![]()
to
with the help of the Taylor series
(cf. STEP
5]
![]()
where
is a value between the root
and
the approximation xk. We have

Multiplying the n + 1 rows
together and cancelling the common factors
leaves
, ![]()
Consequently,
![]()
so that the absolute error
can
be made as small as we please by a sufficient number of
iterations, if
of the root. (Note that the
derivative of
is such that ![]()