Linear list operations: which operation will increase the length (number of elements) of a list in data structures?

Difficulty: Easy

Correct Answer: Insert

Explanation:


Introduction / Context:
Lists (arrays, linked lists, dynamic lists) support a small set of fundamental operations. Understanding how each operation affects list length is essential when analyzing time/space complexity and ensuring algorithms maintain correct invariants.


Given Data / Assumptions:

  • A “list” means an ordered collection of elements.
  • Operations considered: insert, look-up (search/read), and modify (update value in place).
  • We ask which operation increases element count.


Concept / Approach:
Insert adds a new element; by definition, it increases the number of elements by one (or more if bulk-insert). Look-up retrieves an element without changing the structure; modify updates content of an existing element at a position, leaving length unchanged. Therefore, only insertion increases length, assuming no simultaneous deletion.


Step-by-Step Solution:

Define the effect of each operation on list cardinality.Recognize that only inserting creates a new node/slot.Conclude: Insert is the operation that increases length.


Verification / Alternative check:
In dynamic arrays (e.g., vectors), insert may trigger resizing but still increases logical length by 1. In linked lists, inserting a node increases node count by 1, confirming the rule across implementations.


Why Other Options Are Wrong:

Look-up: read-only; does not alter length.Modify: in-place update; length remains the same.All of the above / None: incorrect because only insert changes length positively.


Common Pitfalls:
Confusing append/concatenate (which are forms of insert) with modify; or assuming search that adds to a cache alters the list being queried (it does not, unless explicitly designed).


Final Answer:
Insert

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