Question: Consider the shortest paths problem from a single source s . The key idea underlying Dijkstra's algorithm is the following: For every q , let

Consider the shortest paths problem from a single source s. The key idea underlying Dijkstra's algorithm is the following:
For every q, let W(q) denote our current best upper bound on the weight of a shortest-weight path from s to q. Consider a neighbor v of u.
If W(u)+w(u,v)< W(v) we should set W(v) to W(u)+w(u,v) # Here w(u,v) is the weight on edge {u, v}
Now consider a variant of the single-source shortest-paths problem in which paths containing more than k edges do not qualify. Consider the following variant of the aforementioned idea around which we hope to develop an optimal algorithm for this new algorithm.
For every q, let W(q) denote our current best upper bound on the weight of a shortest path from s to q under the added constraint that it contains no more than k edges and let j(q) denote the actual number of edges in a path from which W(q) was obtained. Consider a neighbor v of u.
If W(u)+w(u,v)< W(v) and j(u)< k we should set W(v) to W(u)+w(u,v) and j(v) to j(u)+1.
Critique this new idea from the perspective of whether or not we can build an optimal algorithm for the new problem around it.

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