0
0
Data Structures Theoryknowledge~10 mins

Array operations and their complexities in Data Structures Theory - Interactive Code Practice

Choose your learning style9 modes available
Practice - 5 Tasks
Answer the questions below
1fill in blank
easy

Complete the sentence to describe the time complexity of accessing an element in an array by index.

Data Structures Theory
Accessing an element by index in an array has a time complexity of O([1]).
Drag options to blanks, or click blank then click option'
A1
Bn
Clog n
Dn log n
Attempts:
3 left
πŸ’‘ Hint
Common Mistakes
Confusing access time with search time.
Thinking it depends on the size of the array.
2fill in blank
medium

Complete the sentence to describe the time complexity of inserting an element at the end of a dynamic array (amortized).

Data Structures Theory
Inserting an element at the end of a dynamic array has an amortized time complexity of O([1]).
Drag options to blanks, or click blank then click option'
A1
Blog n
Cn
Dn^2
Attempts:
3 left
πŸ’‘ Hint
Common Mistakes
Assuming every insert requires resizing.
Confusing worst-case with amortized time.
3fill in blank
hard

Fix the error in the statement about deleting an element from the middle of an array.

Data Structures Theory
Deleting an element from the middle of an array has a time complexity of O([1]).
Drag options to blanks, or click blank then click option'
An^2
B1
Clog n
Dn
Attempts:
3 left
πŸ’‘ Hint
Common Mistakes
Assuming deletion is constant time like access.
Ignoring the cost of shifting elements.
4fill in blank
hard

Fill both blanks to describe the time complexities of searching for an element and inserting at the beginning of an array.

Data Structures Theory
Searching for an element in an unsorted array takes O([1]), and inserting at the beginning takes O([2]).
Drag options to blanks, or click blank then click option'
An
B1
Clog n
Dn^2
Attempts:
3 left
πŸ’‘ Hint
Common Mistakes
Thinking searching is faster than linear time.
Assuming insertion at start is constant time.
5fill in blank
hard

Fill all three blanks to complete the dictionary comprehension that maps array operations to their average time complexities.

Data Structures Theory
complexities = {"access": O([1]), "append": O([2]), "delete_middle": O([3])}
Drag options to blanks, or click blank then click option'
A1
Bn
Clog n
Dn^2
Attempts:
3 left
πŸ’‘ Hint
Common Mistakes
Mixing up append and delete complexities.
Using log n where it does not apply.