这个作业是设计并实现图相关的算法

CSE101: Design and Analysis of Algorithms

• The instructions are the same as in Homework-00 except the note on Piazza regarding group

submissions & typed homework requirement.

There are 5 questions for a total of 100 points.

1. (15 points) Suppose Dijkstra’s algorithm is run on the following graph, starting at node A

A : B(4), H(8)

B : A(4), C(8), H(11)

C : B(8), D(7), F(4), I(2)

D : C(7), E(9), F(14)

E : D(9), F(10)

F : C(4), D(14), E(10), G(2)

G : F(2), H(1), I(6)

H : A(8), B(11), G(1), I(7)

I : C(2), G(6), H(7)

Note that the numbers in brackets indicate the weight of the edge.

Answer the following questions.

(a) Draw a table showing the intermediate distance values and previous values of all the nodes at each

iteration of the algorithm.

(b) Draw the final shortest path tree.

2. (20 points) Given a strongly connected directed graph, G = (V, E) with positive edge weights along

with a particular node v0 ∈ V . You wish to pre-process the graph so that queries of the form ”what is

the length of the shortest path from s to t that goes through v0” can be answered in constant time for

any pair of distinct vertices s and t. The pre-processing should take the same asymptotic run-time as

Dijkstra’s algorithm.

3. (20 points) In cases where there are several different shortest paths between two nodes (and edges have

varying lengths), the most convenient of these paths is often the one with fewest edges. For instance,

if nodes represent cities and edge lengths represent costs of flying between cities, there might be many

ways to get from city s to city t which all have the same cost. The most convenient of these alternatives

is the one which involves the fewest stopovers. Accordingly, for a specific starting node s, define

best[u] = Minimum number of edges in a shortest path from s to u

In the example below, the best values for nodes S, A, B, C, D, E, F are 0, 1, 1, 1, 2, 2, 3, respectively.

1 of 2

CSE101: Design and Analysis of Algorithms (CSE, UCSD, Spring-2020) Homework-03

Give an efficient algorithm for the following problem.

Input: Graph G = (V, E); positive edge lengths le; starting node s ∈ V .

Output: The values of best[u] should be set for all nodes u ∈ V .

4. (20 points) You are driving down a very long highway, with gas stations at mile-posts m1, m2, . . . , mn,

where m1 = 0 is your starting point and mn is your final destination. You want to make as few gas

stops as possible, but your car can only hold enough gas to cover M miles. Give an algorithm to find

the minimum number of stops you need to make. Argue the correctness of the algorithm, and analyze

its running time.

5. (25 points) Alice wants to throw a party and is deciding whom to call. She has n people to choose from,

and she has made up a list of which pairs of these people know each other. She wants to pick as many

people as possible, subject to a constraint: at the party, each person should have at least five other

people whom they know.

(a) Give a high-level description of an efficient algorithm that takes as input the list of n people and

the list of pairs who know each other and outputs the best choice of party invitees. Argue that this

scheme is correct.

(b) Give an efficient implementation (psuedocode) of the scheme from part (a), and analyze its running

time in terms of n.

2 of 2

**程序辅导定制C/C++/JAVA/安卓/PYTHON/留学生/PHP/APP开发/MATLAB**

本网站支持 Alipay WeChatPay PayPal等支付方式

**E-mail:** vipdue@outlook.com **微信号:**vipnxx

如果您使用手机请先保存二维码，微信识别。如果用电脑，直接掏出手机果断扫描。