Solve Logic Puzzles: Algorithms and Proofs Required
Company: Spokeo
Role: Data Scientist
Category: Coding & Algorithms
Difficulty: medium
Interview Round: Onsite
##### Scenario
On-site logic/algorithm quiz with hiring manager and VP
##### Question
Solve six AMC-8–level math/logic puzzles, including the classic farmer-fox-chicken-grain river-crossing problem. Provide algorithms and proofs of correctness.
##### Hints
Break problems into states, use breadth-first search or invariants as needed.
Quick Answer: This interview question evaluates algorithm design, data structures, correctness, complexity, edge cases, and implementation details in a realistic interview setting. A strong answer for Solve Logic Puzzles: Algorithms and Proofs Required states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Solution
# Solution Alignment
The prompt asks for an implementation-level answer. The safest way to present it is to define the state, maintain clear invariants, then walk through complexity and tests.
## Problem Restatement
##### Scenario On-site logic/algorithm quiz with hiring manager and VP ##### Question Solve six AMC-8–level math/logic puzzles, including the classic farmer-fox-chicken-grain river-crossing problem. Provide algorithms and proofs of correctness. ##### Hints Break problems into states, use breadth-first search or invariants as needed.
## Recommended Approach
Start with a brute-force baseline to confirm correctness, then identify the repeated work or ordering property that enables a better data structure such as a hash map, heap, stack, queue, two pointers, prefix sums, BFS/DFS, or dynamic programming. Write the implementation around a small invariant and test that invariant directly.
## Correctness
The implementation should maintain an invariant after each loop or operation that directly matches the problem statement. At termination, that invariant implies the returned value has considered every valid candidate exactly once, or has preserved the required data-structure state after every API call.
## Complexity
State the baseline complexity and the optimized complexity. For most interview constraints, justify why the optimized approach meets the expected input size.
## Edge Cases and Tests
Empty and singleton inputs, duplicates, ties, invalid inputs, boundary values, and tests that exercise the main invariant.