This paper proposes an algorithm to solve multi - intersection coordinated control problem, which combines the maximal flow theory with the game theory and considers both the individual interests of ...

In the "classical" network flow model, flows are constrained by the capacities of individual arcs. In the "polymatroidal" network flow model introduced in this paper, flows are constrained by the ...

Methods: Our algorithm performs multiple binary segmentations of the TCD spectrogram and then extracts the pertaining envelopes (maximal flow velocity waveforms) via an edge-following step that ...

Abstract Maximum Flow Problem (MFP) discusses the maximum amount of flow that can be sent from the source to sink. Edmonds-Karp algorithm is the modified version of Ford-Fulkerson algorithm to solve ...

Rasmus Kyng has written the near-perfect algorithm. It computes the maximum transport flow at minimum cost for any kind of network – be it rail, road or electricity – at a speed that is, ...

Proof. The partitioning algorithm iterates on successive subintervals, starting with and ending with and consequently, the correctness of the algorithm obviously follows from Theorem 3. Actually, the ...

Starting with a matching problem, we will first discuss the three central tasks of algorithm design: correctness, termination, and efficiency. Following a similar design process, we will design ...

Discover how to select the right network flow algorithm for optimizing your BI project's data analysis and network efficiency.

Researchers have devised an "absurdly fast" algorithm to solve the problem of finding the fastest flow through a network.

This algorithm improves the best previous strongly polynomial time algorithm, due to Z. Galil and E. Tardos, by a factor of n2/m. Our algorithm for the capacitated minimum cost flow problem is even ...