🎓How I Study AIHISA
📖Read
📄Papers📰Blogs🎬Courses
💡Learn
🛤️Paths📚Topics💡Concepts🎴Shorts
🎯Practice
⏱️Coach🧩Problems🧠Thinking🎯Prompts🧠Review
SearchSettings
How I Study AI - Learn AI Papers & Lectures the Easy Way
CustomCC0-1.0#P0112000

K-th Shortest Path in DAG

Thinking Mode

Summary

  • •Phase 2 / DAG, Path Enumeration
  • •Reasoning-first competitive programming drill

Problem Description

Given a DAG with N nodes and M edges with positive weights, and two nodes S and T, output the length of the K-th shortest distinct path from S to T. How to read this problem in plain language: - This is a Phase 2 reasoning drill focused on DAG, Path Enumeration. - Typical lenses to test first: dag, shortest path, enumeration. - Constraints reminder: 2 ≤ N≤100, 1 ≤ M≤N∗N, 1 ≤ K≤1e6, 1 ≤ w≤1e4 Mini examples for mental simulation: 1) Boundary example: Describe why this case is tricky. Explain expected behavior and why naive logic may fail. 2) Adversarial example: Adversarial case where naive greedy/local decision looks correct but fails globally. Lite-mode writing target: - Write 1~2 observations that shrink the search space. - Name one final algorithm and state target complexity explicitly. - Validate with at least 2 edge cases and one hand simulation.

Constraints

  • •
    2 ≤ N≤100, 1 ≤ M≤N∗N, 1 ≤ K≤1e6, 1 ≤ w≤1e4

Analysis

Key Insight

Use this hint to refine your reasoning. This step should reduce search space or formalize correctness. State why this insight changes your algorithm choice.

dagshortest pathenumeration
dagshortest pathenumeration