Partition a Set into Two Equal-Sum Groups

1. Problem Statement

2. Live Coding Format

3. Key Focus Areas

• 1
  Problem clarification and contract
• 2
  Approach exploration and optimality
• 3
  Think-aloud communication and pacing
• 4
  Implementation correctness
• 5
  Code quality and language fluency
• 6
  Tests and dry run
• 7
  Debugging and self-correction
• 8
  Complexity analysis
• 9
  Follow-up performance

4. What Strong Candidates Should Demonstrate

• Clarify uniqueness, sign, and zero-value assumptions before coding.
• Explain a brute-force baseline, identify the repeated work, and improve it so the running time no longer grows exponentially with the number of values.
• Think aloud while implementing readable, correct code.
• Validate with explicit expected outputs and a top-to-bottom dry run.
• Analyze time and space complexity and handle a bounded follow-up modification.