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A* Search Algorithm Visualization - Heuristic and Path Cost Example #1730667 (License: Personal Use)
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This diagram illustrates the A* pathfinding algorithm on a directed weighted graph with six nodes (including start orange and goal blue nodes). Each node displays its heuristic estimate h(n), while edges show traversal costs; f-values like f(a)=1.5+4 are computed as g(n)+h(n). The arrow highlights the evaluation of node a and d during search expansion.
Used in AI and computer science educational content to explain informed search strategies; ideal for tutorials, lecture slides, or algorithm reference pages where users seek to understand heuristic-based path optimization.
Related Cliparts: Visual walkthrough of the A* search algorithm using a weighted graph with heuristic estimates (h) and edge costs. Understand how f(n) = g(n) + h(n) guides optimal path selection.
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