單源點(diǎn)最短路徑算法的設(shè)計(jì)與實(shí)現(xiàn) 算法 Shortest-PATHS求出了v0至其它各結(jié)點(diǎn)的最短路徑，但是沒(méi)有給出這些最短路徑。補(bǔ)充該算法，使新算法在找出這些最短路徑長(zhǎng)度的同時(shí)，也能求出路徑上的結(jié)點(diǎn)序列。
標(biāo)簽： Shortest-PATHS 最短路徑 算法
上傳時(shí)間： 2015-09-08
上傳用戶：小草123
k Shortest Paths David Eppstein s method ICTCLAS研究學(xué)習(xí)組 http://groups.google.com/group/ictclas?msg=subscribe
標(biāo)簽： Shortest Eppstein ICTCLAS ictclas
上傳時(shí)間： 2013-12-30
上傳用戶：youmo81
Floyd-Warshall算法描述 1)適用范圍： a)APSP(All Pairs Shortest Paths) b)稠密圖效果最佳 c)邊權(quán)可正可負(fù) 2)算法描述： a)初始化：dis[u,v]=w[u,v] b)For k:=1 to n For i:=1 to n For j:=1 to n If dis[i,j]>dis[i,k]+dis[k,j] Then Dis[I,j]:=dis[I,k]+dis[k,j] c)算法結(jié)束：dis即為所有點(diǎn)對(duì)的最短路徑矩陣 3)算法小結(jié)：此算法簡(jiǎn)單有效，由于三重循環(huán)結(jié)構(gòu)緊湊，對(duì)于稠密圖，效率要高于執(zhí)行|V|次Dijkstra算法。時(shí)間復(fù)雜度O(n^3)。 考慮下列變形：如(I,j)∈E則dis[I,j]初始為1,else初始為0，這樣的Floyd算法最后的最短路徑矩陣即成為一個(gè)判斷I,j是否有通路的矩陣。更簡(jiǎn)單的，我們可以把dis設(shè)成boolean類(lèi)型，則每次可以用“dis[I,j]:=dis[I,j]or(dis[I,k]and dis[k,j])”來(lái)代替算法描述中的藍(lán)色部分，可以更直觀地得到I,j的連通情況。
標(biāo)簽： Floyd-Warshall Shortest Pairs Paths
上傳時(shí)間： 2013-12-01
上傳用戶：dyctj
Shortest Paths with Multiplicative Cost. In a given undirected graph, the path cost is measured as a product of all the edges in the path. The weights are rational numbers (e.g., 0.25, 0.75, 3.75 etc) or integers (2, 3). There are no negative edges. Given such a graph as input, you are to output the shortest path between any two given vertices. Input is the adjacency matrix and the two vertices. You must output the path.
標(biāo)簽： Multiplicative undirected Shortest measured
上傳時(shí)間： 2017-04-08
上傳用戶：邶刖
There are many algorithms that can be applied to graphs. Many of these are actually used in the real world, such as Dijkstra’s algorithm to find shortest paths. We will discuss a few here.
標(biāo)簽： algorithms are actually applied
上傳時(shí)間： 2014-01-03
上傳用戶：龍飛艇
In some graphs, the shortest path is given by optimizing two different metrics: the sum of weights of the edges and the number of edges. For example: if two paths with equal cost exist then, the path with the least number of edges is chosen as the shortest path. Given this metric, you have find out the shortest path between a given pair of vertices in the input graph. The output should be the number of edges on the path, the cost of the shortest path, and the path itself. Input is the adjacency matrix and the two vertices.
標(biāo)簽： optimizing different the shortest
上傳時(shí)間： 2014-10-25
上傳用戶：1159797854
Mobile robot tracking of pre-planned paths是國(guó)外頂尖級(jí)專(zhuān)家篆寫(xiě)的有關(guān)機(jī)器人路徑規(guī)劃的文章。雖然是2000年的，但是很有價(jià)值。
標(biāo)簽： pre-planned tracking Mobile robot
上傳時(shí)間： 2014-01-02
上傳用戶：wmwai1314
嵌入式文件系統(tǒng)ucfs.zip This project should serve as an "easy start" with /FS. All paths are relative to the project file. You should therefore be able to copy the entire directory (including all subdirectories) to any location on your harddrive.
標(biāo)簽： relative project should paths
上傳時(shí)間： 2015-04-28
上傳用戶：zhliu007
this process is about how to get the shortest path, this process write by VC++.
標(biāo)簽： process this shortest about
上傳時(shí)間： 2014-01-07
上傳用戶：上善若水
Dijkstra s Algorithm -- Shortest path (Dijkstra s Algorithm)
標(biāo)簽： Algorithm Dijkstra Shortest path
上傳時(shí)間： 2015-11-27
上傳用戶：fandeshun
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