Arc flow is updated through a push operation. Preflows allow faster algorithms for finding blocking flows. An interesting special case of the maximum flow problem involves all arcs having unit ...

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 ...

Yet the essential features of the classical model are retained; the augmenting path theorem, the integral flow theorem and the max-flow min-cut theorem are all shown to yield to straightforward ...

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 ...

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 ...

We present a new algorithm for this problem which compares favorably to maximal flow and minimal cut procedures on randomly generated classes of problems. Management Science is a cross-functional, ...

In this paper, we propose an instances placement algorithm FFDL that based on the maximal flow method and would adopt the disk I/O load balancing strategy and reduce competition for the disk I/O ...

This way you can reuse the bfs function in the max-flow function. Similarly, for the max-flow problem separate the reading and writing from the main routine so that you can use it in the next problem ...

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 ...