Iterative Methods
Iterative Methods
Iterative methods or iterations is the idea of repeating a process over and over with the purpose of getting closer to an answer. In maths, iterative methods are often used when finding an exact answer is not so simple. There are 3 key skills involved with iterative method questions at GCSE level, which are shown below.
Make sure you are happy with the following topics before moving onto Iterative methods
Skill 1: Trial and Improvement
Trial and improvement is an iterative process whereby you try different solutions for an equation until you get the degree of accuracy that you want. This is easiest to see with an example.
Example: Use trial and improvement show that has a solution between and .
Give your answer to dp.
First pick the largest number in the range (). Then, substitute this value into the equation.
We know (it’s too big), so we must try a smaller number.
is too small, so we know the solution must be somewhere in between and .
We now repeat this process,
As we can now see, too small, but too big. This means the actual solution must be between these two values.
We know that any number between and must round to to dp, so the solution must be to dp.
Skill 2: Using Iteration Machines
An iteration machine allows us to find an approximate solution to an equation we may not be able to solve any other way.
Example: Use the iterative formula shown to find the value of to dp
Use .
Step 1: Use as in the equation to give
Step 2: Repeat the process using as to give
Step 3: Repeat the process to give , , ….
Step 4: Once two consecutive answers round to the same dp answer, we have our final answer.
Final answer (dp)
Note: When doing a question like this, it makes your life a lot easier if you use the ANS key on your calculator.
Skill 3: Creating the iteration formula
It is often necessary to form the iterative methods formula (e.g. by rearranging an equation.
Example: Show that can be rearranged to give to give
In order to do this we need to rearrange the equation to be in the form stated, then add in the notation required.
Finally we add in the required notation to complete our answer.
Iterative Methods Example Questions
Question 1: Starting with , use trial and improvement to find a solution to the following equation to decimal place,
[3 marks]
We will form a table with one column of values, one column on the results of calculating , and one column stating if the answer is bigger or smaller than the desired .

So, if gives a result that is too small and gives a result that is too big, then the actual solution must be somewhere between these two values.
Given that any number between and must round to , the solution must be to decimal place.
Question 2: Starting with , use the iterative formula
to find a solution to to decimal places.
[3 marks]
To find a solution we will use the recursive formula, until we get two consecutive terms which round to the same number to decimal places.
These last two results both round to to dp, so the solution must be to decimal places.
Question 3: Starting with , use the iterative formula
to find a solution to to decimal places.
[3 marks]
To find a solution we will use the recursive formula, until we get two consecutive terms which round to the same number to decimal places.
These last two results both round to to dp, so the solution must be to decimal places.
Question 4: Starting with , use the iterative formula
to find a solution to to decimal places.
[3 marks]
To find a solution we will use the recursive formula, until we get two consecutive terms which round to the same number to decimal places.
These last two results both round to to dp, so the solution must be to decimal places.
Question 5: Starting with , use the iterative formula
to find a solution to to decimal places.
[3 marks]
To find a solution we will use the recursive formula, until we get two consecutive terms which round to the same number to decimal places.
These last two results both round to to dp, so the solution must be to decimal places.
Specification Points Covered
Algebra – 20. find approximate solutions to equations numerically using iteration