Computer Science 5.04-3. Bellman Ford Algorithm - a change in DV (1, part 3). Consider the network below, and suppose that at t=0, the link between nodes g and h goes down. Andso at t=0, nodes g and h recompute their DVs. Following this recomputation, to which nodes will h send its new distance vector? (Note: to answer this question,you'll need to know some of the DV entries at g and h at t=0, but hopefully they'll be obvious by inspection).a.1d-at t=0 the link (with a cost of6) between nodes g and hgoes downcompute oall nodes816O node i onlyO node e onlyOnodes i and e and g onlyOnodes i and e only1b.e-compute111C1O node h does not send out its distance vector, since none of the least costs have changed to any destination. 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. Andso 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 theircalculation 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 DVcalculation will take place as a result of the link change at t=0?1a--9-0203d>04at t=0 the link (with a cost of1) between nodes b and cgoes down816compute11Ch-811O an essentially infinite amount of time; this is the count-to-infinity problemC-1

The Bellman-Ford algorithm is a graph traversal algorithm used to find the shortest paths from a…

5.04-3. Bellman Ford Algorithm - a change in DV (1, part 3). Consider the network below, and suppose that at t=0, the link between nodes g and h goes down. And so at t=0, nodes g and h recompute their DVs. Following this recomputation, to which nodes will h send its new distance vector? (Note: to answer this question, you'll need to know some of the DV entries at g and h at t=0, but hopefully they'll be obvious by inspection). a. 1

5.04-3. Bellman Ford Algorithm - a change in DV (1, part 3). Consider the network below, and suppose that at t=0, the link between nodes g and h goes down. And so at t=0, nodes g and h recompute their DVs. Following this recomputation, to which nodes will h send its new distance vector? (Note: to answer this question, you'll need to know some of the DV entries at g and h at t=0, but hopefully they'll be obvious by inspection). a. 1

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

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5.04-3. Bellman Ford Algorithm - a change in DV (1, part 3). Consider the network below, and suppose that at t=0, the link between nodes g and h goes down. And so at t=0, nodes g and h recompute their DVs. Following this recomputation, to which nodes will h send its new distance vector? (Note: to answer this question, you’ll need to know some of the DV entries at g and h at t=0, but hopefully they’ll be obvious by inspection).
5.04-3. Bellman Ford Algorithm - a change in DV (1, part 3). Consider the network below, and suppose that at t=0, the link between nodes g and h goes down. And so at t=0, nodes g and h recompute their DVs. Following this recomputation, to which nodes will h send its new distance vector? (Note: to answer this question, you'll need to know some of the DV entries at g and hat t=0, but hopefully they'll be obvious by inspection). 1 compute g- node i only node e only all nodes at t=0 the link (with a cost of 6) between nodes g and h goes down 8. 00 1 1 1 compute h nodes i and e and g only 1 1 1 1 node h does not send out its distance vector, since none of the least costs have changed to any destination. O nodes i and e only
a. Build an adjacency matrix ? for this map. b. How many paths of length 2 from V5 to V1 exist? c. How many paths of length 3 from V5 to V1 exist?
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? 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.
Suppose a biking environment consists of n ≥ 3 landmarks,which are linked by bike route in a cyclical manner. That is, thereis a bike route between landmark 1 and 2, between landmark 2 and 3,and so on until we link landmark n back to landmark 1. In the centerof these is a mountain which has a bike route to every single landmark.Besides these, there are no other bike routes in the biking environment.You can think of the landmarks and the single mountain as nodes, andthe bike routes as edges, which altogether form a graph G. A path is asequence of bike routes.What is the number of paths of length 2 in the graph in termsof n?What is the number of cycles of length 3 in the graph in termsof n?What is the number of cycles in the graph in terms of n?
Write the algorithm that finds and returns how many paths in k units of length between any given two nodes (source node, destination node; source and target nodes can also be the same) in a non-directional and unweighted line of N nodes represented as a neighborhood matrix. (Assume that each side in the unweighted diagram is one unit long.) Note: By using the problem reduction method of the Transform and Conquer strategy, you have to make the given problem into another problem. Algorithm howManyPath (M [0..N-1] [0..N-1], source, target, k)// Input: NxN neighborhood matrix, source, target nodes, k value.// Ouput: In the given line, there are how many different paths of k units length between the given source and target node.
5.03-3. Dijkstra's Algorithm (3, part 3). Consider the network shown below, and Dijkstra's link-state algorithm. Here, we are interested in computing the least cost path from node E to all other nodes using Dijkstra's algorithm. Using the algorithm statement used in the textbook and its visual representation, complete the "Step 2" row in the table below showing the link state algorithm's execution by matching the table entries (i), (ii), (iii), (iv) and (v) with their values. Write down your final [correct] answer, as you'll need it for the next question. Step (i) (iii) (iv) (v) A 012 3 2 4 (В 8 D N' E (i) 4 10 4 E 4 (ii) 2 F A D(A),p(A) D(B [Choose ] 6,F 1,E 8,F 4,E EFB 8,D 6,D EFD 9,D [Choose ] [Choose ] [Choose ] [Choose ] [Choose ] < F D(F),p(F) 2,E
5.03-3. Dijkstra's Algorithm (3, part 3). Consider the network shown below, and Dijkstra’s link-state algorithm. Here, we are interested in computing the least cost path from node E to all other nodes using Dijkstra's algorithm. Using the algorithm statement used in the textbook and its visual representation, complete the "Step 2" row in the table below showing the link state algorithm’s execution by matching the table entries (i), (ii), (iii), (iv) and (v) with their values.
In graph G switching centers represented by vertices and edges represent communication lines between two switching centers. The edges are marked by their bandwidth, that is, the maximum speed, in bits per second, that information can be transmitted along that communication line. The bandwidth of a path in G is the bandwidth of its lowest-bandwidth edge. Please create a program in JAVA for finding a maximum spanning tree in G, which would maximize the bandwidth between two switching centers. The program's inputs are n (switching centers number) and e (bandwidths/edges number), both are integers. Switching centers should characters value( A,B etc.) Following the e lines containing bandwidth information, which includes the switching centers and integer values of their respective bandwidths/weights, the idea is to identify the two switching centers between which the maximum bandwidth is to be determined. Program should first prompt user to enter n and e values, then source switching center…
Consider the Cartesian (x-y) grid. If you can only move right and up, how many paths are there: a.From A(0, 0) to B(6, 3)? b. b. From A(0, 0) to C(9, 10) if you must pass through D(5, 4) and E(7, 8)?
5.06-1. Bellman Ford Algorithm (3, part 1). Consider the grid network shown below. All links have a cost of 1. Let's focus on the distance vector (DV) in node L. A (B (E) (K) DL(G) H (M) W X Y When the DV algorithm first begins, what are the initial values of the DV entries in node L for destinations G and H? Enter these components of L's initial DV,below by matching a DV entry to its value in the pull-down menu. DL(H) R [Choose ] [Choose ] 1 OT 0 2 infinity