The no-string constraint is the whole point of this problem.
Clarify that negative numbers return false immediately, then reverse the integer mathematically using modulo and division while checking for overflow. Compare the reversed number with the original, or reverse only half the digits to avoid overflow and optimize.
Pro tip: Mention that reversing only half the digits avoids overflow and is more efficient; also discuss handling trailing zeros and edge cases like 0 and multiples of 10.
Confirm that negative numbers return false, and consider edge cases like 0, single-digit numbers, and numbers ending in 0 (e.g., 10).
Decide between reversing the entire number or just half. Reversing half avoids overflow and is more efficient.
Use a loop with modulo 10 to extract digits and build the reversed number, or build half-reversed and compare with the remaining half.
Stop when the reversed half is greater than or equal to the remaining half, then compare appropriately (equal for even digits, or equal after dividing by 10 for odd digits).
Walk through examples like 121 (true), -121 (false), 10 (false), and 0 (true) to verify correctness.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.
Start by clarifying assumptions (e.g., intervals are closed, input may be empty). Sort intervals by start value, then iterate through them, merging overlapping intervals by comparing the current interval's start with the last merged interval's end. Return the merged list, which is naturally sorted by start.
Pro tip: After presenting the solution, mention that you can optimize to O(n log n) time and O(n) space, and discuss edge cases like empty input, single interval, and intervals that touch (e.g., [1,2] and [2,3]). This shows thoroughness and attention to detail.
Ask clarifying questions about interval inclusivity, input size, and expected output format. Confirm that intervals are given as pairs of integers and that the result should be sorted by start.
Sort the list of intervals by their start value. This ensures that any overlapping intervals are adjacent, simplifying the merging process.
Initialize an empty result list. Iterate through sorted intervals; if the result is empty or the current interval does not overlap with the last interval in result, append it. Otherwise, merge by updating the end of the last interval to the maximum of both ends.
Return the merged list. Discuss time complexity (O(n log n) due to sorting) and space complexity (O(n) for the output). Mention potential optimizations if the input is already sorted.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.