Programación DinámicaIntermediate

Subsecuencia Creciente más Larga

Encuentra la subsecuencia más larga donde todos los elementos están en orden creciente. Problema clásico de programación dinámica.

#dynamic-programming#binary-search#optimization#sequences

Complexity Analysis

Time (Average)

O(n log n)

Expected case performance

Space

O(n)

Memory requirements

Time (Best)

O(n log n)

Best case performance

Time (Worst)

O(n log n)

Worst case performance

How it works

  • • Find longest subsequence in increasing order
  • • Dynamic programming approach
  • • O(n²) time complexity (DP solution)
  • • O(n) space complexity
  • • Classic DP problem with optimal substructure
Step: 1 / 0
500ms
SlowFast
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Real-time Statistics

Algorithm Performance Metrics

Progress0%
Comparisons
0
Swaps
0
Array Accesses
0
Steps
1/ 0

Algorithm Visualization

Step 1 of 0

Initialize array to begin

Default
Comparing
Swapped
Sorted

Code Execution

Currently executing
Previously executed

Implementation

Longest Increasing Subsequence (LIS) - Algorithm Vision