Dynamic ProgrammingEvidence Contributing

Linear 1D DP

A DP recurrence over a single sequence where each state depends on a small fixed window of previous states.

Practice Problems: 8
Difficulty: 3 Easy·5 Medium·0 Hard

Algorithmic Intuition & Recognition

The Linear 1D DP technique is applied when tackling problems characterized by specific invariants in the problem state or constraints:

  • Core Strategy: A DP recurrence over a single sequence where each state depends on a small fixed window of previous states.
  • When to use: Look for opportunities where repeated re-computation can be replaced by maintaining monotonic properties, state windows, or relational pointers.
  • Interview Signal: Demonstrating this pattern shows mastery of Dynamic Programming foundations, reducing worst-case algorithmic complexity.

Canonical Practice Problems

8 problems

Curated Sheets Containing This Pattern

Related Algorithmic Patterns