Join me on a visual journey through the A* Search Algorithm! We'll use animations and interactive examples to illustrate how the A* Algorithm finds the optimal path in various scenarios. You'll see how it evaluates nodes, considers heuristics, and avoids costly detours. By the end of the video, you'll have a deep appreciation for the elegance and efficiency of A* search.
Dijkstra's Algorithm: • Dijkstra’s Algorithm |...
Euclidean and Manhattan Distances: • K Closest Points to th...
Graphs: • Graphs Data Structure ...
Breadth First Search: • Graph Traversal | Brea...
Min Heap: • Kth Largest Element in...
Coding Solution: github.com/depthfirst-1/depth...
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Chapters:
Introduction to A* Search Algorithm, (0:00)
Manhattan Distance as a Heuristic (2:42)
Difference between Dijkstra's and A* Algorithm (3:36)
Algorithm Walkthrough (4:36)
Review Code (12:23)
Time and Space Complexity (15:04)
#graphs, #priorityqueue #artificialintelligence #search