Maximal Flow Through a Network. Published online by Cambridge University Press: 20 November 2018. L. R. Ford Jr. and. D. R. Fulkerson. Show author details. L. R. Ford Jr. Affiliation: Rand Corporation, Santi Monica, California. D. R. Fulkerson Ford, L. R. and D. R. Fulkerson, Maximal Flow through a Network., Santa Monica, Calif.: RAND Corporation, P-605, 1954. As of August 18, 2021: https://www.rand.org/pubs/papers/P605.htm In §1 we prove the minimal cut theorem, which establishes that an obvious upper bound for flows over an arbitrary network can always be achieved. The proof is non-constructive. However, by specializing the network (§2), we obtain as a consequence of the minimal cut theorem an effective computational scheme. Finally, we observe in §3 the duality between the capacity problem and that of finding the shortest path, via a network, between two given points MAXIMAL FLOW THROUGH A NETWORK L. R. FORD, JR AND D. . R. FULKERSON Introduction. The problem discussed in this paper was formulated by T. Harris as follows: Consider a rail network connecting two cities by way of a number of intermediate cities, where each link of the network has a number assigned to it representing its capacity. Assuming a steady state condition, find a maximal

Maximal flow through a processing network with the source as the only processing node. by J. Koene Eindhoven University of Technology Department of Mathematics P.O. Box 513 5600 MB Eindhoven THE NETHERLANDS For the maximal flow problem in a pure network there is a simple criterio Maximal Flow through a Network. نویسنده . L. R. FORD چکیده. Introduction. The problem discussed in this paper was formulated by T. Harris as follows: Consider a rail network connecting two cities by way of a number of intermediate cities, where each link of the network has a number assigned to it representing its capacity. Assuming a steady state condition, find a maximal flow. In optimization theory, maximum flow problems involve finding a feasible flow through a flow network that obtains the maximum possible flow rate. The maximum flow problem can be seen as a special case of more complex network flow problems, such as the circulation problem. The maximum value of an s-t flow is equal to the minimum capacity of an s-t cut in the network, as stated in the max-flow min-cut theorem

- Maximal flow through a network by L R . Ford, 1955, Rand Corporation edition, in Englis
- Maximum flow problems involve finding a feasible flow through a single-source, single-sink flow network that is maximum. Let's take an image to explain how the above definition wants to say. Each edge is labeled with capacity, the maximum amount of stuff that it can carry. The goal is to figure out how much stuff can be pushed from the vertex.
- Maximum Flow equals the value in cell I4, which is the flow out of node S. Because node A, B, C, D and E have a Net Flow of 0, Flow Out of node S will equal Flow In of node T. Because node A, B, C, D and E have a Net Flow of 0, Flow Out of node S will equal Flow In of node T
- A residual network graph indicates how much more flow is allowed in each edge in the network graph. If there are no augmenting paths possible from S to T, then the flow is maximum. The result i.e. the maximum flow will be the total flow out of source node which is also equal to total flow in to the sink node
- e the maximum flow that can be obtained through.

Maximal Flow Through a Network The problem discussed in this paper was formulated by T. Harris as follows:Consider a rail network connecting two cities by way of a number of intermediate cities, where each link of the network has a number assigned to it representing its capacity Find the maximum flow through the network and state any flow-augmenting paths. Explain why the flow is maximal. The usual convention is to use dotted lines for the edges linking S and T to the network. The capacities on the edges SS 1 and SS 2 have been chosen to support the maximum possible flows from S 1 and S 2. Similarly, the capacities on the edges T 1 T and T 2 T have been chosen to. Maximal Flow with Gains through a Special Network John J. Jarvis Georgia Institute of Technology, Atlanta, Georgia and Anthony M. Jezior Office of the Assistant Vice Chief of Staff, United States Army, Washington, D.C. (Received December 28, 1970) This paper uses the special structure of a (directed) acyclic network with positive gains to develop an extremely simple and powerful algorithm for. Maximal flow through a network by L R . Ford, unknown edition, Hooray! You've discovered a title that's missing from our library.Can you help donate a copy

Networks A network is characterized by a collection of nodes and directed edges, called a directed graph. Each edge points from one node to another. Fig-ure oﬀers a visual representation of a directed graph with nodes la-belled 1 through 8. [MaxFlow, FlowMatrix, Cut] = graphmaxflow(G, SNode, TNode) calculates the maximum flow of directed graph G from node SNode to node TNode. Input G is an N. Flow Network Construction Find the max-ﬂow Find the optimal assignment from the chosen edges Bipartite Matching 21. Related Problems A more reasonable variant of the previous problem: dorm j can accommodate cj students - Make an edge with capacity cj from dorm j to the sink Decomposing a DAG into nonintersecting paths - Split each vertex v into v left and v right - For each edge u.

In computer science and optimization theory, the max-**flow** min-cut theorem states that in a **flow** **network**, the maximum amount of **flow** passing from the source to the sink is equal to the total weight of the edges in a minimum cut, i.e. the smallest total weight of the edges which if removed would disconnect the source from the sink Prerequisite : Max Flow Problem Introduction Ford-Fulkerson Algorithm The following is simple idea of Ford-Fulkerson algorithm: 1) Start with initial flow as 0.2) While there is a augmenting path from source to sink.Add this path-flow to flow. 3) Return flow. Time Complexity: Time complexity of the above algorithm is O(max_flow * E). We run a loop while there is an augmenting path Prior to 1985, virtually all the best network flow algorithms were based on the approach Dinic suggested in 1970 [1]: finding a maximum flow in a layered network requires that at most n ? 1 maximal flows be determined (a maximal flow is also called a blocking flow because it blocks further forward augmentations). Karzonov [2] was the first to show that the method of preflows, which allows nodes to temporarily have more incoming flow than outgoing flow, could be used to find a blocking flow. Maximal flow through a network, (1956) by L Ford, D Fulkerson Venue: Can J Math: Add To MetaCart. Tools . Sorted by The algorithm runs in O(n 2 log 3 n) time, a significant improvement over the previous Õ(mn) time bounds based on maximum flows. It is simple and intuitive and uses no complex data structures. Our algorithm can be parallelized to run in with n 2 processors; this gives the. ** Maximal flow through a network, (1956) by L Ford, D Fulkerson Venue: Can J Math: Add To MetaCart**. Tools . Sorted by All previously known efficient maximum-flow algorithms work by finding augmenting paths, either one path at a time (as in the original Ford and Fulkerson algorithm) or all shortest-length augmenting paths at once (using the layered network approach of Dinic). An alternative.

* Maximal flow through a network, Canad (1956) by D R Fulkerson Venue: J*. Math: Add To MetaCart. Tools. Sorted by: Results 1 - 10 of 50. Next 10 → Noisy Network Coding by Sung Hoon Lim, Young-han. Maximal Flow Through a Network", Canadian (0) by L R Ford, D R Fulkerson Venue: Journal of Mathematics: Add To MetaCart. Tools. Sorted by: Results 1 - 5 of 5. Approximate Max-Flow Min-(multi)cut Theorems and Their Applications by.

Network Flow Problems - Maximal Flow Problems Consider the following flow network: ks 1 k 1 n 1 s k 13 k 21 ks 2 2 3 n k 3 n k 23 The objective is to ship the maximum quantity of a commodity from a source node s to some sink node n, through a series of arcs while being constrained by a capacity k on each arc Math. Advanced Math. Advanced Math questions and answers. (a) [2 Marks] Describe how to construct an incremental network in the Ford-Fulkerson algorithm in order to find the maximal flow through a network flow model with minimal overall cost This paper uses the special structure at a (directed) acyclic network with positive gains to develop an extremely simple and powerful algorithm for maximal flow. Finiteness of the algorithm is achi..

- g: Part XX Maximal Flow Through a Network Author: L. R. Ford Subject: A proof of the
- ed by considering a sequence of not more than ½ p (p-1) + 1 pure maximal flow problems, in which p is the number of arcs incident to the source
- Maximal flow through a processing network with the source as the only processing node. J. Koene. Mathematics and Computer Science; Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review. Overzicht ; Vingerafdruk; Samenvatting. For the maximal flow problem in a pure network there is a simple criterion for optimality: the flow is maximal if and only if.
- imum capacity of an s-t cut in network (stated in max-flow
- -cut theorem Ford-Fulkerson augmenting path algorithm Edmonds-Karp heuristics Bipartite matching 2 Network reliability. Security of statistical data. Distributed computing. Egalitarian stable matching. Distributed computing. Many many more . . . Maximum Flow and Minimum Cut Max flow and
- g the following algorithm you can stop, either when this maximum flow has been reached or when all paths from S to T become 'saturated'. 1. Note that there are four possible paths from S to T, namely SAT, SCBT, SACBT and SCAT. (Note that at this stage, the directions of the flows are ignored 2. Begin.

- In place of flows on a discrete network we study flows described by a vector field ź(x,y) in a plane domain ź. The analogue of the capacity constraint is |ź|≤c(x,y), and the strength of sources and..
- Answer: TRUE Diff: 2 Topic: MAXIMAL-FLOW PROBLEM 10) The maximal-flow technique finds the maximum flow of any quantity or substance through a network. Answer: TRUE Diff: 1 Topic: INTRODUCTION 11.
- Flow Network, Maximal Flow, Cut, Rest Network, Max-ﬂow Min-cut Theorem, Ford-Fulkerson Method, Edmonds-Karp Algorithm, Maximal Bipartite Matching [Ottman/Widmayer, Kap. 9.7, 9.8.1], [Cormen et al, Kap. 26.1-26.3] 315. Motivation Modelling ﬂow of ﬂuents, components on conveyors, current in electrical networks or information ﬂow in communication networks. Connectivity of Communication.
- imize the danger from floods. Answer: TRUE Diff: 2 Topic: MAXIMAL-FLOW PROBLEM.

- -cut theorem is a network flow theorem. This theorem states that the maximum flow through any network from a given source to a given sink is exactly the sum of the edge weights that, if removed, would totally disconnect the source from the sink. In other words, for any network graph and a selected source and sink node, the max-flow from source to sink = the
- It is shown that maximal two-way exchange with a net barotropic flow requires the presence of two controls, one at the narrrowest section and a second or 'virtual' control lying to one side of the narrowest section. The two controls are connected by a subcritical region, but are separated from subcritical conditions in the reservoirs by supercritical flow and stationary internal bores.
- imum delay are preferred. Finding the maximum flow involves looking at all the.

- al to another, through a network which consists of a number of branches, each of which has a limited capacity. The main result is a theorem: The maximum possible flow from left to right through a network is equal to the
- The maximum flow problem is one of the combinatorial optimization problems. The objective of the problem is to find maximum amount of flow from the source to the sink in a network. Due to lack of information in some networks, different types o
- g edges. - Sink, t: Vertex with no outgoing edges. Source Sink 3 221 12 24 2 21 2 s t. Maximum Flow 3 Capacity and Flow • Edge Capacities: Nonnegative weights on network edges • Flow: - Function on network edges: 0.
- Use Algorithm 10.2 .4 to find a maximal flow in e View Full Video. Already have an account? Log in Oswaldo J. Numerade Educator. Like. Report. Jump To Question Problem 1 Problem 2 Problem 3 Problem 4 Problem 5 Problem 6 Problem 7 Problem 8 Problem 9 Problem 10 Problem 11 Problem 12 Problem 13 Problem 14 Problem 15 Problem 16 Problem 17 Problem 18 Problem 19. Problem 7 Easy Difficulty. Use.
- How I can calculate the maximum mass flow rate through a circular pipe with a inner radius equals 8.5 mm when the velocity is not known? The working fluid is pure water
- The maximal flow solution algorithm allows the user to choose a path through the network from the origin to the destination by any criteria. asked May 30, 2016 in Business by Mandi. Indicate whether this statement is true or false. decision-science; 0 Answers. 0 votes. answered May 30, 2016 by.
- g to certain classes of mathematical problems

Answer of Maximal/minimal flow in networks with lower bounds. The maximal flow algorithm given in this section assumes that all the arcs have zero lower bounds... The network flow problem was first considered by Ford and Fulkerson [1] who introduced the basic concepts of flow, cut, etc. used here and pro-vided the main tool, the maximum-flow minimum-cut theorem. Ford and Fulkerson wrote about the flow between two special points, the source and the sink. Mayeda [2] then took up the multi-terminal problem, where flows are considered between all pairs of. The maximal-flow technique finds the maximum flow of any quantity or substance through a network. Q 11 The maximal-flow technique might be used by the U.S. Army Corps of Engineers to study water run-off in an attempt to minimize the danger from floods

- maximal flow through a network下载 weixin_39822095 2019-09-15 02:30:17 关于最大流网络算法的一些介绍，是外国文献，最大网络流的应
- imal-spanning-treetechnique, (2) the shortest path, and (3)the maximal flow througha network technique. and explain why it would bethe appropriate technique to apply in each of the situations youdescribe. SINCE I AM A BUSINESS OWNER, THE EXAMPLE MUST BE IN THAT NATURE OF WHEN I MAY USE (1) (2) AND (3
- e if the statement above is TRUE or FALSE and explain your reasoning. A shipping company manager wants to deter
- Network Flow Problems â Maximal Flow Problems Â Consider the following flow network: s 1 2 3 n ks1 k23 k13 k3n k1n ks2 k21 The objective is to ship the maximum quantit
- Problem 7.3 (Maximum
**Flow**). Instance: a**ﬂow****network**N. Find: a**ﬂow**with maximum value. A**ﬂow**with maximum value is said to be a maximum ﬂ**ow**. 7.2 Reducing to an elementary**network**Before studying this problem, we show that it is equivalent to consider an elementary prob-lem where there is a unique production site with inﬁnite maximum production and a unique consumption site with. - As you may know, the total flow into a network flow should be equal to the total flo We're always here. Join our Discord to connect with other students 24/7, any time, night or day.Join Here! Books; Test Prep; Bootcamps; Class; Ask Question; Earn Money; Log in ; Join for Free. Problem Use Algorithm 10.2 .4 to find a maximal flow in e View Full Video. Already have an account.

Claim In a flow network if the residual network has maximal flow then all of from CECS 328 at California State University, Long Beac This preview shows page 3 - 6 out of 6 pages. What type of node can a network model have? Assignment. Transportation Maximal flow Source, transshipment, and demand, Supply, transshipment, and sink What is the numerical value of net flow at a transshipment point? It can be a positive or negative nonzero number It should be a positive number 0 It. A good analogy for a flow network is the following visualization: We represent edges as water pipes, the capacity of an edge is the maximal amount of water that can flow through the pipe per second, and the flow of an edge is the amount of water that currently flows through the pipe per second. This motivates the first flow condition. There cannot flow more water through a pipe than its.

The Maximal Flow Problem The maximal flow problem involves determining the maximum amount of material that can flow from one point (the source) to another (the sink) in Log in Upload File. Most Popular; Study; Business; Design; Technology; Travel; Explore all categories; chap07 maximal flow. Home; Documents; Chap07 Maximal Flow; prev. next. out of 14. Post on 07-Nov-2014. 117 views. istabaraqim.co The Maximal Flow Problem The maximal flow problem involves determining the maximum amount of material that can flow from one point (the source) to another (the sink) in Log in Upload File. Most Popular; Study; Business; Design; Technology; Travel; Explore all categories; chap07 maximal flow. Home; Documents; Chap07 Maximal Flow; prev. next. out of 14. Post on 07-Nov-2014. 115 views. The starting node of this network model has a supply value of -1. Maximal-flow Minimal Spanning Tree Laplace Shortest Path In this network model, all the net flows are typically zeros. Transportation Maximal Flow Assignment Solver The arcs in this model have capacities that limit the amounts of flow that can occur on them. Shortest Continue reading (Solution Document) The starting node of.

Applying Network Models Provide at least one example of when you might use (1) the minimal-spanning-tree technique, (2) the shortest path, and (3) the maximal flow through a network technique. Explain why it would be the appropriate technique to apply in each of the situations you describe. Please be thorough and provide enough detail. Determine the maximal flow through the network in Figure 4. Assume that all branches are directed branches. 14. REFER TO #125 Determine the minimum distance required to connect all nodes in Figure 4. 30 via 1 to 3, 1 to 4, 2 to 5, 3 to 2, 3 to 6, 5 to 7. REFER TO #126 What is the shortest route through the network in Figure 4? 18 via 1 to 3 to 6 to 7. OTHER SETS BY THIS CREATOR. AGEC 3413. ** Examples include the flow of goods in a logistics system, information in a communication network, or natural gas in a pipeline network**. Usually, one is interested either in computing a maximal flow , where the amount of goods to be transported along an edge is bounded by a capacity limit and one wants to route the maximal flow possible from some source node to a given target Also known as the max-flow algorithm, the Ford-Fulkerson algorithm is used to find the maximum amount of flow that can pass through the network from a particular source node to a particular sink.

The maximal-flow model: The shortest-path problem: A transshipment model has two flow-out-of (source) nodes, four transshipment nodes, and three flow-into (destination) nodes. Each transshipment node is connected with both source nodes and with only one destination node. This network will have how many arcs?. They can also be disabled using the circuit network which stops fluid flow through the pump. The table below shows how fast will fluid flow in a pipeline with a certain frequency of pumps. If a higher flow rate is desired, pumps should be placed more frequently. Because underground pipes only count as 2 regular pipes in terms of volume, a full-length section only counts as two pipes in this. TY - JOUR AU - Rossignol, Raphaël AU - Théret, Marie TI - Lower large deviations for the maximal flow through tilted cylinders in two-dimensional first passage percolation JO - ESAIM: Probability and Statistics PY - 2013 PB - EDP-Sciences VL - 17 SP - 70 EP - 104 AB - Equip the edges of the lattice ℤ2 with i.i.d. random capacities. A law of large numbers is known for the maximal flow. Theorem (Max-flow min-cut Theorem): The value of a maximum ( s, t) -flow equals the smallest possible value of an ( s, t) -cut. This means that if you can find an ( s, t) -cut with a value that equals the current value of the ( s, t) -flow, then the flow is definitely maximum. Since we've found an ( s, t) -cut with value 12, and you also have a.

- ation
- e the maximum amount of ﬂow that.
- How much flow can be pumped through the graph? Formally, a flow on a directed graph is a function f on pairs of vertices such that . For any vertices u and v, f uv = -f vu. This says that the net flow in one direction is the negative of the net flow in the other. For any vertices u and v, f uv ≤ c uv. This says that the flow along some edge does not exceed that edge's capacity. For any.
- ow can be pushed greedily through the network. In Figure 1(b), the greedy algorithm has made a bad choice for the rst unit of ow to push through. There are no remaining unsaturated s-t paths in the network, but the maximum ow has not been achieved. We modify the algorithm such that we can revise the paths later in the run of the algorithm. This is the rough idea of the Ford-Fulkerson algorithm.
- The network bandwidth definition can be confusing, but basically, network bandwidth is defined as the maximum transfer throughput capacity of a network. It's a measure of how much data can be sent and received at a time. Bandwidth is measured in bits, megabits, or gigabits per second
- The iperf network packet generator is used in this article help measure maximum Gigabit Ethernet data rates.. trafgen. trafgen is a zero-copy high performance network packet traffic generator utility that is part of the netsniff-ng networking toolkit. trafgen requires a packet configuration file which defines the characteristic of the network protocol packets to generate

On a copper based Gigabit Ethernet Network (1000BaseT), transmission uses four lanes over all four cable pairs for simultaneous transmission in both directions through the use of echo cancellation with adaptive equalization and five-level pulse amplitude modulation (PAM-5). The symbol rate is identical to that of 100BASE-TX (125 megabaud) Data Flow in Computer Network September 25, 2016 November 14, 2016 A Computer Network is basically a network in simple terms through which different devices are connected.With the help of this network,devices are able to share various information among each other.(e.g you can send a message to your friend through your phone because there is a network connecting your phone with your friend's.

Network Throughput. According to the Google dictionary, Throughput is defined as the amount of material or items passing through a system or process. Relating this to networking, the materials are referred to as packets while the system they are passing through is a particular link , physical or virtual 6.4 Maximum Flow. This section under major construction. Maximum flow and minimum s-t cut. Program FordFulkerson.java computes the maximum flow and minimum s-t cut in an edge-weighted digraph in E^2 V time using the Edmonds-Karp shortest augment path heuristic (though, in practice, it usually runs substantially faster). It uses FlowNetwork.java and FlowEdge.java ** The maximum flow problem is the problem of finding the maximum admissible flow through a single source, single sink flow network**. It was originally formulated in 1954 by mathematicians attempting to model Soviet railway traffic flow. Well known solutions for the maximum flow problem include the Ford-Fulkerson algorithm, Edmonds-Karp algorithm, and Dinic's algorithm. Maximum flow algorithms. Network Flows 6.1 The Maximum Flow Problem In this section we deﬁne a ﬂow network and setup the problem we are trying to solve in this lecture: the maximum ﬂow problem. Deﬁnition 1 A network is a directed graph G = (V,E) with a source vertex s ∈ V and a sink vertex t ∈ V. Each edge e = (v,w) from v to w has a deﬁned capacity, denoted by u(e) or u(v,w). It is useful to also. In this case the answer would be 5 i.e. the maximum number of edges that need to go out of a single Bs is 5. Can't do less than that. I have implemented basic ford fulkerson algorithm and I know this is also network flow but don't know how to relate to it. It will be great if someone can give some hint about the graph. Thank

Below is a collection of suggestions for optimizing your network adapter. 1. Update Your Network Drivers . Making sure that your network adapter drivers are updated is the single most effective way to ensure maximum performance. Check to see if your computer manufacturer has updated network drivers for your PC. You can also update network drivers by identifying the adapter manufacturer and. minimum cut gives the maximum capacity, not the minimum capacity in above network, on deleting sB and At, you get the max-flow as 4 the min-flow can be 0 in any network without circulation, for which you dont need to determine the min-cut.. To find min-cut, you remove edges with minimum weight such that there is no flow possible from s to t.The sum of weights of these removed edges would give. ** Network Flow Optimization problems form the most special class of linear programming problems**. Transportation, electric, and communication networks are clearly common applications of Network Optimization. These types of problems can be viewed as minimizing transportation problems. This Network problem will include cost of moving materials through a network involving varying demands, parameters.

8.1 THE GENERAL **NETWORK**-**FLOW** PROBLEM A common scenario of a network-ﬂow problem arising in industrial logistics concerns the distribution of a single homogeneous product from plants (origins) to consumer markets (destinations). The total number of units produced at each plant and the total number of units required at each market are assumed to be known. The product need not be sent directly. Treating the residual network G f in the figure as a flow network, we can ship up to 4 units of additional net flow through each edge of this path without violating a capacity constraint, since the smallest residual capacity on this path is c f (v 2, v 3) = 4. We call the maximum amount of net flow that we can ship along the edges of an augmenting path p the residual capacity of p, given by. c. In this paper we propose a fast state-space enumeration based algorithm called TOP-DOWN capable of computing the probability mass function of the maximum s-t flow through reliable networks A network flow model for inventory management and distribution of influenza vaccines through a healthcare supply chain A mathematical model based on network flow analysis is suggested. A real-world application of the developed methodology is presented. Previous article in issue; Next article in issue; Keywords. Vaccination. Influenza . cost-benefit. Inventory replenishment policy.

Maximum velocity is a frequent topic on these forums. There must be some widely varying assumptions to get the range of numbers that I've seen here. For dry gas flow I use an actual velocity (as opposed to velocity calculated as SCF/FlowArea) of 100 ft/second or 15 psi/mile pressure drop as my upper design condition. Design capacity will be. CMSC 451: Max-Flow Extensions Slides By: Carl Kingsford Department of Computer Science University of Maryland, College Park Based on Section 7.7 of Algorithm Design by Kleinberg & Tardos. Circulations with Demands Suppose we have multiple sources and multiple sinks. Each sink wants to get a certain amount of ow (its demand). Each source has a certain amount of ow to give (its supply). We can. If the maximal-flow problem is formulated as a linear program, the objective is to.....maximize the flow from the sink to the source. T/F: When the optimal solution has been reached with the maximal-flow technique, every node will be connected with at least one other node. False. A large city is planning for delays during rush hour when roads are closed for maintenance. On a normal weekday. In this network, all information, and messages flow through A, who is at the center at the wheel. A communicates with other members of the group like B, C, D, and E, while members cannot communicate with each other. This network of communication is found in highly formal organization structures where the task-aimed approach to leadership is preferred to employee-oriented approach. The employer. To detect a cycle with more forward arcs than backward: set the length of each forward arc to -1 and the length of each backward arc to 1. Initialize the distance label of each vertex to 0 (simulating the effect of an artificial source with no incoming arcs and length-0 arcs to each other vertex). Run Bellman--Ford to determine whether there is. The max ow-mincut theorem The bipartite matching problem 1The Network Flow Problem We begin with a de nition of the problem. We are given a directed graph G, a start node s, and a sink node t. Each edge e in G has an associated non-negative capacity c(e), where for all non-edges it is implicitly assumed that the capacity is 0. For example, consider the graph in Figure 1 below. s a c b d t 4 3.

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