Shortest paths with a cost constraint: a probabilistic analysis
Alan Frieze, Tomasz Tkocz

TL;DR
This paper analyzes the shortest path problem in complete graphs with random edge lengths and costs, focusing on the asymptotic behavior of the minimum path length under a cost constraint.
Contribution
It provides a probabilistic analysis of the constrained shortest path problem, deriving the asymptotic minimum length as a function of the cost-budget.
Findings
Asymptotic value of minimum path length derived
Probabilistic model for edge lengths and costs used
Results applicable to large complete graphs
Abstract
We consider a constrained version of the shortest path problem on the complete graphs whose edges have independent random lengths and costs. We establish the asymptotic value of the minimum length as a function of the cost-budget within a wide range.
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