can anyone help in solving the following question.

consider a weighted undirected graph. There is a source S and destination D and a value K. Find the length of the shortest path such that you can make at most K edges 0.

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can anyone help in solving the following question.

consider a weighted undirected graph. There is a source S and destination D and a value K. Find the length of the shortest path such that you can make at most K edges 0.

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We can create a graph with $$$k$$$ layers — lets call it $$$G[n][k]$$$. For each edge $$$(v,u,w)$$$ we add two types of edges to our graph:

$$$G[v][i]$$$ — $$$G[u][i]$$$ with weight $$$w$$$ (standard edge, needs to be in each layer)

$$$G[v][i]$$$ — $$$G[u][i+1]$$$ with weight $$$0$$$ ("skipping" edge, also in each layer)

Now if we calculate minimum distances to each vertex in the whole graph, distance to $$$G[v][l]$$$ will mean minimum distance to vertex $$$v$$$ if we made exactly $$$l$$$ edges to be equal 0.

If the weights are positive we can use Dijkstra's algorithm to calculate minimum distances giving us $$$O(nk*log(nk))$$$ complexity.

If weights can be negative we use Bellman–Ford algorithm giving us $$$O(n^2k^2)$$$ comlpexity.

Note that we need to take minimum distance to $$$d$$$ in all layers in order to find the answer (we "skip"

at most$$$k$$$ edges)Greg. thanks for the solution. Can you please elaborate the process of adding an edge in the graph. And is it possible to have a dp solution??

can someone give link to problem of this type on codeforces

Not on codeforces but there is one on Hackerearth. https://www.hackerearth.com/practice/algorithms/graphs/shortest-path-algorithms/practice-problems/algorithm/shortest-path-revisited-9e1091ea/description/