5.04-2. Bellman Ford Algorithm (1, part 2). Consider the scenario shown below, where at t=1, node e receives distance vectors from neighboring nodes d, b, h and f. The (old) distance vector at e (the node at the center of the network) is also shown, before receiving the new distance vector from its neighbors. Indicate which of the components of new distance vector at e below have a value of 2 after e has received the distance vectors from its neighbors and updated its own distance vector. (Note: You can find more examples of problems similar to this here DV in b: Dola) = 8 Do(f) = 00 Do(c) = 1 Dolg) = 00 Do(d) = 00 D,(h) = 00 Dole) = 1 D,li) = 00 old DV at e at t=1 e receives DVs from b, d, f, h DV in e: %3D DV in d: %3! Dela) = 00 D.(b) = 1 Delc) = 00 De(d) = 1 Dele) = 0 De(f) = 1 Delg) = De(h) = 1 Deli) = 00 Dala) = 1 00 = (9)'a a. Da(c) = 0 Dald) = 0 Dale) = 1 Dalf) = 00 Dalg) = 1 Da(h) = 00 Dali) = 00 8 1 Q: what is new DV computed in e at t=1? 1 = 00 compute- f- DV in f: 1 DV in h: Dn(a) = 00 Dn(b) = 00 Dr(c): Dn(d) = 00 Dn(e) = 1 Dn(f) = 00 Dg) = 1 D,(h) = 0 Dn(i) = 1 DAa) = 00 D(b) = 00 DAC): D{d) = D(e) = 1 DAf) = 0 DAg) = 00 D(h) : DAi) = 1 = 00 = 00 1 1 = 00 g- 1 1 = 00 %3D

5.04-2. Bellman Ford Algorithm (1, part 2). Consider the scenario shown below, where at t=1, node e receives distance vectors from neighboring nodes d, b, h and f. The (old) distance vector at e (the node at the center of the network) is also shown, before receiving the new distance vector from its neighbors. Indicate which of the components of new distance vector at e below have a value of 2 after e has received the distance vectors from its neighbors and updated its own distance vector. (Note: You can find more examples of problems similar to this here DV in b: Dola) = 8 Do(f) = 00 Do(c) = 1 Dolg) = 00 Do(d) = 00 D,(h) = 00 Dole) = 1 D,li) = 00 old DV at e at t=1 e receives DVs from b, d, f, h DV in e: %3D DV in d: %3! Dela) = 00 D.(b) = 1 Delc) = 00 De(d) = 1 Dele) = 0 De(f) = 1 Delg) = De(h) = 1 Deli) = 00 Dala) = 1 00 = (9)'a a. Da(c) = 0 Dald) = 0 Dale) = 1 Dalf) = 00 Dalg) = 1 Da(h) = 00 Dali) = 00 8 1 Q: what is new DV computed in e at t=1? 1 = 00 compute- f- DV in f: 1 DV in h: Dn(a) = 00 Dn(b) = 00 Dr(c): Dn(d) = 00 Dn(e) = 1 Dn(f) = 00 Dg) = 1 D,(h) = 0 Dn(i) = 1 DAa) = 00 D(b) = 00 DAC): D{d) = D(e) = 1 DAf) = 0 DAg) = 00 D(h) : DAi) = 1 = 00 = 00 1 1 = 00 g- 1 1 = 00 %3D

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

Problem 1PE

See similar textbooks

Related questions

Q: onsider the network shown below, and Dijkstra’s link-state algorithm. Here, we are interested in…

A: Consider the given data :

Q: Link State (Dijkstra's) Routing Algorithm. Find the shortest paths from source node D toevery other…

A: Using the Dijkstra's algorithm to find shortest path

Q: There are four different human blood types: O, A, B and AB. The relationships between donor and…

A: A bipartite graph is a mathematical structure consisting of two disjoint sets of vertices, such that…

Q: 5.01-2. Dijkstra's Algorithm (1, part 2). Consider the network shown below, and Dijkstra’s…

A: Dijkstra’s shortest path algorithm is used to compute the shortest path from one node to all network…

Q: п/2 f (x) = [«(xz – x-1)? + (1 – x2i-1)°], i=1 re a is a parameter that you can vary (for example, 1…

A: The answer is

Q: 5.04-4. Bellman Ford Algorithm - a change in DV (1, part 4). Consider the network below, and suppose…

A: Bellman Ford Algorithm is a distance-vector routing algorithm that works by distributing the…

Q: The code of a sequential search function is shown on textbook page 60. In fact, if the list is…

A: code snippet:

Q: point p is on line l if and only if point l∗is on line p∗. 1. Using the property above, prove the…

A: Answer: The straight lines L1,L2,L3 are parallel and lie in the same plane. A total number of m…

Q: Write SQL statement that prints the intitials (first letter of first name and first lettter or last…

A: Write SQL statement that prints the intitials (first letter of first name and first lettter or…

Q: (i) Step 0 (iii) (iv) (v) W NO 1 A 2 3 3 2 B 8 D N' E (1) 10 E 4 2 F A B C D F D(A),p(A) D(B),p(B)…

A: Dijkstra's algorithm is used to find the shortest path between nodes in a weighted graph. It was…

Q: Implement a Breadth-First Search of the people in the network who are reachable from person id 3980.…

A: Explanation:1. Initialize: 'queue' starts with the initial person (ID 3980).'visited' is a set…

Q: Dijkstra's Algorithm (1, part 3). Consider the network shown below, and Dijkstra’s link-state…

A: SOLUTION -Dijkstra’s shortest path algorithm is used to compute the shortest path from one node to…

Q: Exercise 1. Describe in plain English (a short paragraph with at most 5-6 lines should be enough) n…

A: Dear Student, The answer to your question is given below -

Q: 5.01-1. Dijkstra's Algorithm (1, part 1). Consider the network shown below, and Dijkstra's link-stat…

A: Dijkstra's algorithm is used to find shortest path between two vertices and it is a greedy…

Q: Consider the adjacency matrix below. Upload a picture (it can be hand drawn) of the adjacency list…

A: we have to draw adjancy list of graph:

Q: Sarah and Jennifer have just graduated from college at the University of Washington in Seattle and…

A: A minimum distance problem tends to seek minimum distance via only 1 route.

Q: Exercise 16.5 Draw the graphs described by each of these adjacency lists. B| –CE --G H A - A B B DE…

A: - The question wants us to draw the graph for the given adjacency list. - As nothing is mentioned…

Q: 5.04-3. Bellman Ford Algorithm - a change in DV (1, part 3). Consider the network below, and suppose…

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

Q: Consider the adjacency matrix drawn) of the adjacency list of the graph. Note: File size must not…

A: Your required solution is given in next step

Concept explainers

Heuristic System

The term heuristic is derived from the Greek word heurisko, which means “I find, discover”. Heuristics can be mental shortcuts or approaches designed from previous experiences. The main aim of the heuristic approach is to find a good enough solution to solve the problem. Test and mistake, rule of thumb, or an educated estimate are all examples of heuristics. These methods are sufficient for achieving an immediate, brief aim. When a heuristic is used in practice, it works as predicted. It can, however, produce systematic errors. Trial and error is an important heuristic that may be used in a variety of situations, from cross-linking nuts and bolts to determining the values of given input variables in mathematical puzzles. Additional hypotheses, visual illustrations, simplification, and forward or backward reasoning are all common heuristics in mathematics.

Question

5.04-2. Bellman Ford Algorithm (1, part 2). Consider the scenario shown below, where at t=1, node e receives distance vectors from neighboring
nodes d, b, h and f. The (old) distance vector at e (the node at the center of the network) is also shown, before receiving the new distance vector from
its neighbors. Indicate which of the components of new distance vector at e below have a value of 2 after e has received the distance vectors from its
neighbors and updated its own distance vector. [Note: You can find more examples of problems similar to this here]
DV in b:
Do(a) = 8 Do(f) = 00
D,(c) = 1 Dolg) = 00
D,(d) = 00 D,(h) = 00
Dole) = 1 Dpli) = 00
old DV at e
at t=1 e receives
DVs from b, d, f, h
DV in e:
DV in d:
Da(a) = 1
Da(b) = oc
Da(c) = 00
Dald) = 0
Dale) = 1
Dalf) = 00
Dals) = 1
Da(h) = 00
Dali) = 00
Dela) = 00
De(b) = 1
Delc) = o
Deld) = 1
Dele) = 0
Delf) = 1
Delg) = 00
De(h) = 1
Deli) = 00
a
= 00
1
%3D
8
%3D
Q: what is new DV computed in e at
1
t=1?
%3D
%3D
compute-
1
f-
DV in f:
1
DV in h:
Dn(a) = 00
Dn(b) = 00
Dn(c) = 0
Dn(d) = 00
Dn(e) = 1
Dn(f) = 00
Dn(g) = 1
D,(h) = 0
Dn(i) = 1
D(a) = 00
D{b) = 00
D(c) = 00
DAd) = 00
D{e) = 1
D{f) = 0
DAg) =
D(h) = 00
D{i) = 1
%3D
1
%3D
= 00
-g.
h
1
1
Dela)
Delb)
De(c)
De(d)
De(f)
De(g)
O De(h)
De(i)

Expert Solution

This question has been solved!

Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.

This is a popular solution!

SEE SOLUTION Check out a sample Q&A here

Step 1

VIEW

Step 2

VIEW

Trending now

This is a popular solution!

Step by step

Solved in 2 steps with 2 images

SEE SOLUTION Check out a sample Q&A here

Knowledge Booster

Learn more about

Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, computer-science and related others by exploring similar questions and additional content below.

Similar questions

Please make sure you choose the right answer
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.
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
= Trace the Winnow algorithm with 3: 1 for the following input. Suppose the domain is vectors of length n = 6 over {V1, V2, V3, V4, V5, V6} and the actual labels are with respect to formula v₁/v3/v6; for example, the true label of (1, 0, 1, 0, 1, 1) is '1' and that of 1, 1, 1, 1, 1,0 is '0'. The input vectors are: x1 = (1, 0, 1, 1, 0, 1) x2 = (1,0,1,1,0,0) x3 = x4= X5 x6 x7 x8 = = = = x9 = (0, 1, 0, 1, 0, 1) 1, 1, 1, 0, 0, 1) (1, (0, 1, 1, 1, 1,0) (1, 1, 1, 1, 1, 1) (0, 1, 0, 1, 1, 1) (1, 1, 0, 1, 1, 1) (1, 0, 1, 0, 0, 1) You need to follow the same assumptions as in the example in Slide 4 of Module 11. Show your work and specify whether it is possible that the algorithm makes more mistakes after processing the above vectors; justify your answer.
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).
Imagine two entities A and B, each of which has the property X (among other names not relevant to this topic) among other properties. Can the design improve without connecting the two Xs?
Create an algorithm for the Dijkstra Shortest Weighted Path based on the provided data.G is a weighted (directed or undirected) network, and s is a node in it.post-cond: specifies the shortest weighted route from s to each node of G, and d the lengths of those paths.
5.01-1. Dijkstra's Algorithm (1, part 1). Consider the network shown below, and Dijkstra’s link-state algorithm to find the least cost path from source node U to all other destinations. Using the algorithm statement and its visual representation used in the textbook, complete the first row in the table below showing the link state algorithm’s execution by matching the table entries (a), (b), (c), and (d) with their values.