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Fundamentals of Algorithms
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btay ga koi plzzzz,,,
poura ans ak page sy zyada na ho ya ak alogorithm ,,?
kha chly gy ho sbb koi to ay yha,,
simple 1.5 pages long assignment solution only ur own words.
thnx a already done it,,, thnx to all for discusion here,,
Muje b dena
write comprehensive summary of any three of the discussed shortest path algorithms in your own words.
4 algorithms hein ap koi sey 3 select kr k apni words mein lekh dey ,PDF file ko read kry sath mein chapter # 8 , jo b algorithm select kia hai start mein thorra os k bare mein btae like definition k basically is mein krte kia hein ,then os k advantages bta dein agr koi important steps mentions hein un k bare mein lekh dey.
apne words pe likhna hai na k copy paste
In Bellman-Ford algorithm a graph can contain cycles of negative weights, where each cycle will minimize the length of the shortest path.According to this fact the array d will store the shortest length from the starting point s to other vertices. And in order to determine the length of all shortest paths in a graph it requires n – 1 phases, but for distant vertices, the value of elements of the array will remain by being assigned to infinity.
In this algorithm every vertex is assigned a label that determines the shortest length from the starting point s to other vertices v of the graph. The algorithm works step by step, and in each step it tries to minimize the value of the label of the vertices. The algorithm stops when all vertices have been visited.Length from starting point to other vertices is unknown. If all vertices have been visited, then the algorithm finishes; otherwise, we have to choose the vertex which has the smallest value at its label from the list of unvisited vertices. After that, we will consider all neighbors of this vertex. For each unvisited neighbor we will consider a new length, which is equal to the sum of the label’s value at the initial vertex and the length of edge that connects them.
This algorithm is used to find the shortest path between both positive and negative edge weight.This algorithm can find the shortest path in one execution but without extended details.