How do you explain time and space complexity in an interview?easy

Type
conceptual
Topic
time-space-complexity
Frequency
common
Roles
ml-engineer
Tags
complexity, big-o
Answer

Describe how runtime and memory grow as input size increases, usually using Big O notation.

Explanation

Focus on dominant terms and ignore constants. A clear answer explains loops, nested loops, recursion depth, extra data structures, and tradeoffs between time and memory.

Follow-upHow do you analyze recursive complexity?