dijkstra

问题 to-report find-path [ init final ] ask init [set dist_d 0] let current init let p_dij [] set p_dij insert-item 0 p_dij current show "dij" while [not (current = final)] [ ask [neighbors with [pcolor = yellow and not (dist_d = -1)]] of current [set dist_d min (list dist_d (1 + [dist_d] of current))] ask current [set dist_d -1] let min_d min [dist_d] of neighbors set current one-of neighbors with [dist_d = min_d and pcolor = yellow] set p_dij insert-item (length p_dij - 1) p_dij current ] ask

问题 There are many algorithms or policies for finding a path with minimum or maximum costs. But, it is hard to find an approach that can find a path within (or below) a required cost (RC), i.e., such an RC is not a minimum or maximum one, and the actual cost should less than such an RC. I am looking for a feasible algorithm to find a path satisfying the two constraints: The cost of such a path should be lower than the required cost. The path from source to destination should contain as many hops

问题 There are many algorithms or policies for finding a path with minimum or maximum costs. But, it is hard to find an approach that can find a path within (or below) a required cost (RC), i.e., such an RC is not a minimum or maximum one, and the actual cost should less than such an RC. I am looking for a feasible algorithm to find a path satisfying the two constraints: The cost of such a path should be lower than the required cost. The path from source to destination should contain as many hops

问题 There are many algorithms or policies for finding a path with minimum or maximum costs. But, it is hard to find an approach that can find a path within (or below) a required cost (RC), i.e., such an RC is not a minimum or maximum one, and the actual cost should less than such an RC. I am looking for a feasible algorithm to find a path satisfying the two constraints: The cost of such a path should be lower than the required cost. The path from source to destination should contain as many hops

问题 From Wikipedia: O(|E| + |V| log|V|) From Big O Cheat List: O((|V| + |E|) log |V|) I consider there is a difference between E + V log V and (E+V) log V , isn't there? Because, if Wikipedia's one is correct, shouldn't it be shown as O(|V| log |V|) only then (Removing |E| ) for a reason I do not understand?)? What is the Big O of Dijkstra with Fibonacci-Heap? 回答1: The complexity of Dijkstra's shortest path algorithm is: O(|E| |decrease-key(Q)| + |V| |extract-min(Q)|) where Q is the min-priority

问题 From Wikipedia: O(|E| + |V| log|V|) From Big O Cheat List: O((|V| + |E|) log |V|) I consider there is a difference between E + V log V and (E+V) log V , isn't there? Because, if Wikipedia's one is correct, shouldn't it be shown as O(|V| log |V|) only then (Removing |E| ) for a reason I do not understand?)? What is the Big O of Dijkstra with Fibonacci-Heap? 回答1: The complexity of Dijkstra's shortest path algorithm is: O(|E| |decrease-key(Q)| + |V| |extract-min(Q)|) where Q is the min-priority

问题 From Wikipedia: O(|E| + |V| log|V|) From Big O Cheat List: O((|V| + |E|) log |V|) I consider there is a difference between E + V log V and (E+V) log V , isn't there? Because, if Wikipedia's one is correct, shouldn't it be shown as O(|V| log |V|) only then (Removing |E| ) for a reason I do not understand?)? What is the Big O of Dijkstra with Fibonacci-Heap? 回答1: The complexity of Dijkstra's shortest path algorithm is: O(|E| |decrease-key(Q)| + |V| |extract-min(Q)|) where Q is the min-priority

来源： https://stackoverflow.com/questions/27576714/dijkstra-shortest-paths-boost-graph-lib-1-57-0-fails

来源： https://stackoverflow.com/questions/27576714/dijkstra-shortest-paths-boost-graph-lib-1-57-0-fails

来源： https://stackoverflow.com/questions/36920817/why-does-dijkstras-algorithm-need-a-priority-queue-when-this-regular-queue-vers