First, clarify the problem requirements and edge cases with the interviewer. Then, discuss a straightforward approach using a single pass to filter out odd numbers and reverse the result, analyzing its time and space complexity. Finally, implement the solution in code, test it with examples, and consider potential optimizations or alternative approaches.
Pro tip: Demonstrate your thought process by explicitly stating assumptions (e.g., whether to modify the input in-place or return a new list) and discussing trade-offs between clarity and efficiency. This shows maturity and prevents misunderstandings.
Ask questions to confirm input/output types, whether the input can be modified, and how to handle empty lists or lists with all odd/even numbers. This ensures alignment with the interviewer's expectations.
Propose a simple method: iterate through the list, collect even numbers, then reverse the collection. Alternatively, iterate from the end and collect even numbers to avoid a separate reversal step.
State the time complexity (O(n)) and space complexity (O(n) for a new list, O(1) extra if in-place). Discuss whether an in-place solution is feasible and its implications.
Write clean code for the chosen approach, using appropriate language constructs (e.g., list comprehensions in Python). Walk through a test case to verify correctness, including edge cases.
Mention if the problem can be solved with a single pass without extra space (e.g., using two pointers if in-place is allowed). Discuss readability vs. efficiency.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.