貪欲法Beginner

Activity Selection

Select the maximum number of non-overlapping activities. Classic greedy algorithm that always picks the activity finishing earliest.

#greedy#scheduling#optimization

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

📚 CLRS Reference

Introduction to AlgorithmsChapter 16Section 16.1

Step: 1 / 0
500ms
SlowFast
Keyboard Shortcuts
Space Play/Pause StepR Reset1-4 Speed

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

Activity Selection - Algorithm Vision