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LeetCode 150 Roadmap - Advanced Graphs Part 1 (Reconstruct Itinerary, Prims & Dijkstra's Algorithms)

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Advanced graphs refer to complex data structures used to represent relationships between objects, with nodes representing entities and edges denoting connections or interactions between them, which can have various properties like weights or directions.
Dijkstra's algorithm, a fundamental technique in graph theory and computer science, efficiently finds the shortest path between two nodes in a graph with non-negative edge weights. It begins by assigning tentative distances to all nodes and iteratively updates these distances based on the shortest paths discovered until the destination node is reached, ensuring optimality by greedily selecting the shortest path at each step.
Questions covered in this video:
#interview #question #python #algorithm #datastructures #problem #solution #leeds #luckyleeds #graphtheory #graphs
Dijkstra's algorithm, a fundamental technique in graph theory and computer science, efficiently finds the shortest path between two nodes in a graph with non-negative edge weights. It begins by assigning tentative distances to all nodes and iteratively updates these distances based on the shortest paths discovered until the destination node is reached, ensuring optimality by greedily selecting the shortest path at each step.
Questions covered in this video:
#interview #question #python #algorithm #datastructures #problem #solution #leeds #luckyleeds #graphtheory #graphs