The running time of the Dijkstra algorithm for finding the shortest path in a graph is O(V2) with a simple implementation using an adjacency matrix, or O((V E) log V) with a more efficient implementation using a priority queue.
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The average running time of Dijkstra's algorithm for finding the shortest path in a graph is O(V2), where V is the number of vertices in the graph.
The time complexity of an algorithm with a running time of nlogn is O(nlogn).
The running time of the algorithm being used for this task refers to the amount of time it takes for the algorithm to complete its operations. It is a measure of how efficient the algorithm is in solving the task at hand.
The running time complexity of an algorithm is a measure of how the runtime of the algorithm grows as the input size increases. It is typically denoted using Big O notation. For example, an algorithm with a running time complexity of O(n) means that the runtime grows linearly with the input size.
The running time of the bubble sort algorithm is O(n2), where n is the number of elements in the array being sorted.