Standard Searching Algorithms (Edexcel GCSE Computer Science)

Revision Note

James Woodhouse

Written by: James Woodhouse

Reviewed by: Lucy Kirkham

What is a searching algorithm?

  • Searching algorithms are precise step-by-step instructions that a computer can follow to efficiently locate specific data in massive datasets

  • Two common searching algorithms are:

    • Binary search

    • Linear search

  • A binary search keeps halving a dataset by comparing the target value with the middle value, going left if smaller, right if bigger, until it finds the value or realises it's not there

  • To perform a binary search the data must be in order!

  • A binary search can be performed on datasets containing numbers or words.

  • Searching for a word instead of a number is the same process, except comparisons are made based on position in the alphabet (alphabetically) instead of numerical size

Step

Instruction

1

Identify the middle value

2

Compare to the value you are looking for

3

IF it is the value you are looking for...

  • Stop!

4

ELSE IF is it bigger than the one you are looking for...

  • Create a new list with the values on the left of the middle value

5

IF it is smaller than the one you are looking for...

  • Create a new list with the values on the right of the middle value

6

REPEAT with the new list

Example 1 - numbers

  • Perform a binary search to locate number 7 in the following dataset

2

5

7

12

15

22

46

Step

Instruction

1

Identify the middle value (12)

 

2

5

7

12

15

22

46

2

Compare to the value you are looking for - Is 12 == 7?

3

IF it is the value you are looking for...

  • Stop! - 12 is not equal to 7

4

ELSE IF is it bigger than the one you are looking for... Is 12 > 7? YES

  • Create a new list with the values on the left of the middle value

2

5

7

5

IF it is smaller than the one you are looking for...

  • Create a new list with the values on the right of the middle value

6

REPEAT with the new list

2

5

7


Is 5 == 7? NO

Is 5  > 7? NO - create new list with values to the right

7


Is 7 == 7? YES

STOP!

Example 2 - words

  • Perform a binary search to locate the word "Rock" in the following dataset

Ballroom

Country

Electronic

Hip Hop

Jazz

Rock

Techno

Step

Instruction

1

Identify the middle value ("Hip Hop")

 

Ballroom

Country

Electronic

Hip Hop

Jazz

Rock

Techno

2

Compare to the value you are looking for - Is "Hip Hop" == "Rock"?

3

IF it is the value you are looking for...

  • Stop! - "Hip Hop" is not equal to "Rock"

4

ELSE IF is it bigger than the one you are looking for... Is "Hip Hop" > "Rock"? NO

  • Create a new list with the values on the left of the middle value

5

IF it is smaller than the one you are looking for... Is "Hip Hop" < "Rock"? YES

  • Create a new list with the values on the right of the middle value

Jazz

Rock

Techno

6

REPEAT with the new list

Jazz

Rock

Techno


Is "Rock" == "Rock"? YES

STOP!

Examiner Tips and Tricks

If the dataset has an even number of values, the simplest way to identify the middle is to divide the total values by 2 and use that as a middle value i.e. a dataset with 8 values, 4 would be the middle value

A binary search in python

# Identify the dataset to search, the target value and set the initial flag
data = [2, 4, 6, 8, 10, 12, 14]
target = 8
found = False

# Set the initial low and high pointers to the beginning and end of the data
low = 0
high = len(data) - 1

# While the low pointer is less than or equal to the high pointer
while found is False and low <= high:
  
  # Find the middle index
  mid = (low + high) // 2

  # Check if the target is at the middle index
  if data[mid] == target:
    
    # If the target is found, output a message
    found = True
    print("Target found")

  # If the target is less than the middle value, search in the left half of the data
  elif data[mid] > target:
    high = mid - 1

  # Otherwise, search in the right half of the data
  else:
    low = mid + 1

# If the target is not found, output a message
if found is False:
  print("Target not found")

Worked Example

Describe the steps a binary search will follow to look for a number in a sorted list [4]

Answer

  • Select / choose / pick middle number (or left/right of middle as even number) and …

  • …check if selected number is equal to / matches target number (not just compare)

  • …if searched number is larger, discard left half // if searched number is smaller, discard right half

  • Repeat until number found

  • … or remaining list is of size 1 / 0 (number not found)

Guidance

  • Can get a mark for bullet points 1 & 2 in one step (e.g. check if the middle value is the one we're looking for")

  • A linear search starts with the first value in a dataset and checks every value one at a time until all values have been checked

  • A linear search can be performed even if the values are not in order

Step

Instruction

1

Check the first value

2

IF it is the value you are looking for

  • STOP!

3

ELSE move to the next value and check

4

REPEAT UNTIL you have checked all values and not found the value you are looking for

Examiner Tips and Tricks

You will not be asked to perform a linear search on a dataset in the exam, you will be expected to understand how to do it and know the advantages and disadvantages compared to a binary search

What are the advantages and disadvantages of searching algorithms?

Searching Algorithm

Advantages

Disadvantages

Binary search

  • Fast for large datasets

  • Efficient for repeated searches

  • Dataset must be in order

  • More complex to implement

Linear search

  • Works on unsorted datasets

  • Faster (than binary) on very small datasets

  • Simple to understand and implement

  • Slow for large datasets

  • Inefficient, starts at the beginning each time

A linear search in python

# Identify the dataset to search, the target value and set the initial flag
data = [5, 2, 8, 1, 9]
target = 11
found = False

# Loop through each element in the data
for index in range(0,len(data) - 1):
  
  # Check if the current element matches the target
  if data[index] == target:
    
    # If found, output message
    found = True
    print("Target found")

#If the target is not found, output a message
if found is False:
  print("Target not found")

Worked Example

A linear search could be used instead of a binary search.

Describe the steps a linear search would follow when searching for a number that is not in the given list [2]

Answer

  • Starting with the first value

  • Checking all values in order

Guidance

  • Must cover idea of checking all value AND being done in order!

  • "Checks each value from the beginning to the end" implies order so would get both bullet point 1 & 2

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James Woodhouse

Author: James Woodhouse

Expertise: Computer Science

James graduated from the University of Sunderland with a degree in ICT and Computing education. He has over 14 years of experience both teaching and leading in Computer Science, specialising in teaching GCSE and A-level. James has held various leadership roles, including Head of Computer Science and coordinator positions for Key Stage 3 and Key Stage 4. James has a keen interest in networking security and technologies aimed at preventing security breaches.

Lucy Kirkham

Author: Lucy Kirkham

Expertise: Head of STEM

Lucy has been a passionate Maths teacher for over 12 years, teaching maths across the UK and abroad helping to engage, interest and develop confidence in the subject at all levels.Working as a Head of Department and then Director of Maths, Lucy has advised schools and academy trusts in both Scotland and the East Midlands, where her role was to support and coach teachers to improve Maths teaching for all.