Suppose that a maximum flow network contains a node, other than the source node, without an incoming arc. Can we delete this node without affecting the maximum flow value?
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Suppose that a maximum flow network contains a node, other than the source node, without an incoming arc. Can we delete this node without affecting the maximum flow value?
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- What are approaches to Finding the Minimum Path?Suppose you were allowed to add a single edge to the given network, connecting one of nodes c or d to any one node that it is not currently connected to. Could you do this in such a way that now behavior A, starting from S and spreading with a threshold of 2/5, would reach all nodes? Give a brief explanation for your answerComputer Science
- give an example of a network with no more than 6 nodes and define all the data structure used by a distence vector and a link state algorithm. perform one iteration for both the algorithm families and show the aforementioned structires are uptaded5.04-4. Bellman Ford Algorithm - a change in DV (1, part 4). Consider the network below, and suppose that at t=0, the link between nodes b and c goes down. And so at t=0, node b recomputes its distance vector (DV) and sends out its new DV (as needed). At t=1 this new DV is received at b's neighbors, who then perform their calculation and send out their new DVs (as needed); these new DVs arrive at their neighbors at t=2, and so on. What is the last time in this network at which a DV calculation will take place as a result of the link change at t=0? a. 1 1 at t=0 the link (with a cost of 1) between nodes b and c goes down 2 8 1 6 b- compute 1 e 1 -h- 1 1 an essentially infinite amount of time; this is the count-to-infinity problem 1 Not quote. This answer is incorrect.5.04-4. Bellman Ford Algorithm - a change in DV (1, part 4). Consider the network below, and suppose that at t=0, the link between nodes b and c goes down. And so at t=0, node b recomputes its distance vector (DV) and sends out its new DV (as needed). At t=1 this new DV is received at b's neighbors, who then perform their calculation and send out their new DVs (as needed); these new DVs arrive at their neighbors at t=2, and so on. What is the last time in this network at which a DV calculation will take place as a result of the link change at t=0? U O O o 1 1 3 2 at t=0 the link (with a cost of 1) between nodes b and c goes down A 8 1 6 compute 1 1 1 1 an essentially infinite amount of time; this is the count-to-infinity problem 1 Second
- 5.04-4. Bellman Ford Algorithm - a change in DV (1, part 4). Consider the network below, and suppose that at t=0, the link between nodes b and c goes down. And so at t=0, node b recomputes its distance vector (DV) and sends out its new DV (as needed). At t=1 this new DV is received at b's neighbors, who then perform their calculation and send out their new DVs (as needed); these new DVs arrive at their neighbors at t=2, and so on. What is the last time in this network at which a DV calculation will take place as a result of the link change at t=0? O a 1 1 ♡ g at t=0 the link (with a cost of 1) between nodes b and c goes down 8 1 6 compute 1 1 -h- 1 1 1 an essentially infinite amount of time; this is the count-to-infinity problemBRACU-Crawler is a pilot project designed to crawl BD sites only. First, Initiate crawler module provides current status of URL queue to the Schedule policy module and receives policy map and crawling threshold number. Until a threshold reached flag is received from the Fetch URL module, Crawler receives a link from Fetch URL module. It then retrieves a new page by providing page link to the Fetch site page module. This page is then sent to the Extract URL module and it returns a set of newly extracted links to the Crawler. In order to do that, Extract URL module first generates raw links using Parse raw links module and sends those to the Filter Valid links module. Filter valid links module returns only the URLS that Crawler should crawl in the future. After receiving the filtered links, Extract URL module formats the links using a library module called Format link and finally sends these filtered- formatted links to the Crawler. Based on the policy map, Crawler can either add the…Problem 8. The diagram below shows an instance of NETWORKFLOW that someone has started to solve using the Augmenting Path algorithm. Finish running the algorithm. Show enough work to convince me you are using the algorithm. For example, draw the residual graph at least once and list the augnenting path(s) you ue 15/18. B 15/20 15/25 0/10 5/18 T. 5/14 5/25 E 0/30 0/26
- Shouldn't the number of paths from D to E be C(6,2) and from E to C be C(4,2)?4. Find the maximum flow from source (node 0) to destination (node 5) from the following flow graph. Show the residual network at each step. 12 1 16 20 10||4 7 13 4 14 4. 2.Describe a method for finding the middle node of a doubly linked list with header and trailer sentinels by “link hopping,” and without relying on explicit knowledge of the size of the list. In the case of an even number of nodes, report the node slightly left of center as the “middle.” What is the running time of this method? Hint: Consider a combined search from both ends. Also, recall that a link hop is an assign- ment of the form ”p = p.getNext( );” or ”p = p.getPrev( );”.
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