本次java代写是高级的算法和数据结构

COMP4500/7500

Advanced Algorithms and Data Structures

School of Information Technology and Electrical Engineering

The University of Queensland, Semester 2, 2019

Assignment 2

Due at 4pm, Friday 18th of October 2019.

This assignment is worth 20% (COMP4500) or 15% (COMP7500) of your final grade.

This assignment is to be attempted individually. Please read this entire handout before attempting any

of the questions.

Submission. Answers to each of the written (not programming) questions (i.e. Q1(b), Q1(d)) should be

clearly labelled and included in a pdf file called A2.pdf.

You need to submit (i) your written answers in A2.pdf, as well as (ii) your source code files

Recursive.java and Dynamic.java electronically using Blackboard according to the exact instructions on

the Blackboard website: https://learn.uq.edu.au/

You can submit your assignment multiple times before the assignment deadline but only the last submission

will be saved by the system and marked. Only submit the files listed above. You are responsible for ensuring

that you have submitted the files that you intended to submit in the way that we have requested them. You

will be marked on the files that you submitted and not on those that you intended to submit. Only files

that are submitted according to the instructions on Blackboard will be marked.

Submitted work should be neat, legible and simple to understand – you may be penalised for work that is

untidy or difficult to read and comprehend.

For the programming part, you will be penalised for submitting files that are not compatible with the

assignment requirements. In particular, code that is submitted with compilation errors, or is not compatible

with the supplied testing framework will receive 0 marks.

Late submission. Unless you have been approved to submit an assignment after the due date: late

assignments will lose 10% of the marks allocated to the assignment immediately, and a further 10% of the

marks allocated to the assignment for each additional calendar day late. Assignments more than 5 calendar

days late will not be accepted.

If there are medical or exceptional circumstances that will affect your ability to complete an assignment by

the due date, then you can apply for an extension as per Section 5.3 of the electronic course profile (ECP).

Requests must be made at least 48 hours prior to the submission deadline. Assignment extensions longer

than 7 calendar days will not be granted.

School Policy on Student Misconduct. You are required to read and understand the School Statement

on Misconduct, available at the School’s website at:

http://www.itee.uq.edu.au/itee-student-misconduct-including-plagiarism

This is an individual assignment. If you are found guilty of misconduct (plagiarism or collusion) then

penalties will be applied.

COMP4500/7500 Assignment 2 (September 27, 2019) 2

Question 1 (100 marks total)

Suppose that you are running a small company for n consecutive (whole) days, day 0, 1, . . . , n − 1.

During that time you have m job opportunities, where each job has a start day, an end day, and a payment

(in whole dollars) that would be received for completing the job (no money is received for only partially

completing a job). To complete a job, you must hire a worker to work on it full time for the start day of

the job, the end day of the job, and all of the days in between the start and end day of the job.

For each of the job opportunities you are given, the start day is less than or equal to the end day, and the

payment is greater than 0 dollars. Each of the job opportunities start no earlier than day 0 and end no later

than the last day that you are running the company, day n − 1.

Two job opportunities j1 and j2 are compatible if and only if they do not overlap (i.e. if either j1 ends before

j2 starts, or j2 ends before j1 starts).

You only have one worker available to complete the job opportunities that you choose to accept. For

d ∈ {0, 1, . . . , n − 1}, the cost of hiring the worker on day d is given by cost[d], where cost is an array of n

non-negative integers (indexed from 0).

During your time in charge of the company, you are able to hire the worker to work in shifts, where a shift

has a start day and an end day (that is greater than or equal to the start day). For a given shift the worker

must work full time for the start day of the shift, the end day of the shift, and all the days in between the

start and end day of the shift.

Each of the shifts that you hire the worker for must start and end on days that you are in charge of the

company, and must last for less than or equal to maxShif tLength days. The shifts that you hire the worker

on cannot overlap, and the worker must have at least minShif tBreak free days between shifts (e.g. if a

shift finishes on day d, then the earliest day that the next shift can start is day d + minShif tBreak + 1).

The cost of hiring a worker for a shift that starts on day s and ends on day f is Pf

d=s

cost[d], the sum of

the costs of hiring the worker for all of the days that make up the shift.

A job can be completed during a shift if the start day of the job is greater than or equal to the start day of

the shift, and the end day of the job is less than or equal to the end day of the shift.

A selected list of chosen shifts and a selected list of the chosen job opportunities, is said to be valid if and

only if:

• Each chosen job is one of the job opportunities that you were given;

• The list of chosen jobs is ordered in ascending order of the end day of the jobs;

• All of the chosen jobs are compatible (i.e. they do not overlap);

• The list of chosen shifts is ordered in ascending order of the end day of the shifts;

• The chosen shifts cannot overlap, and the worker must have at least minShif tBreak free days between

shifts;

• Each of the chosen shifts must start and end on days that you are in charge of the company;

• Each chosen shift must last for less than or equal to maxShif tLength days;

• Each of the chosen jobs must be able to be completed during one of the chosen shifts.

COMP4500/7500 Assignment 2 (September 27, 2019) 3

For a valid selection of shifts and jobs, the profit earned by you for your company is the sum of the payments

you would receive for completing the chosen jobs, minus the cost of hiring the worker for all of the chosen

shifts.

You are responsible for selecting a valid list of shifts and jobs that would result in the largest possible profit

earned by you for your company.

The maximum profit that can be earned by you for your company, is defined to be the greatest profit earned

by you for your company, given any valid selection of shifts and jobs.

The task: Given parameters,

• The array cost of worker’s costs for each of the n days you are in charge of the company;

• The minimum number of days, minBreakLength, between worker’s shifts;

• The maximum length, maxShif tLength, of the worker’s shifts;

• The list of m jobs that are sorted in ascending order of their end day,

your task is to find the maximum profit that can be earned by you for your company.

Example As an example, consider the following scenario in which n = 13 and m = 9:

costs = [1, 2, 2, 2, 3, 0, 5, 1, 3, 2, 2, 3, 1]

minShif tBreak = 2

maxShif tLength = 6

jobs = [(1, 1, 5),(0, 2, 15),(4, 4, 9),(2, 5, 17),(5, 5, 5),(5, 6, 12),(8, 8, 2),(11, 12, 5),(11, 12, 6)]

where each job above is described first by its start day, then its end day, and then its payment.

There are many possible valid selections of jobs and shifts. For example,

chosenShif ts = [(0, 5),(11, 12)]

chosenJobs = [(0, 2, 15),(4, 4, 9),(5, 5, 5),(11, 12, 6)]

is a valid selection with profit:

prof it(chosenShif ts, chosenJobs) = (15 + 9 + 5 + 6) − ((1 + 2 + 2 + 2 + 3 + 0) + (3 + 1)) = 21

Another example of a valid selection is:

chosenShif ts = [(1, 5)]

chosenJobs = [[(1, 1, 5),(4, 4, 9)]

which has profit:

prof it(chosenShif ts, chosenJobs) = (5 + 9) − (2 + 2 + 2 + 3 + 0) = 14 − 9 = 5

In this example, the maximum profit that can be earned by you for your company is 21.

COMP4500/7500 Assignment 2 (September 27, 2019) 4

a. (20 marks) Implement the public static method maximumProfitRecursive from the Recursive class in

the assignment2 package that is available in the zip file that accompanies this handout, to provide a

recursive algorithm to determine the maximum profit that can be earned by you for your company.

To implement that method, you will need to provide an implementation for the private static method

maximumProfitRecursive from the same class.

The recursive solution does NOT need to find a valid selection of shifts and jobs that would result in

the largest possible profit earned by you for your company – it just needs to determine the maximum

profit. Efficiency is not at all a concern for this part, so focus on an elegant solution. (You must not

provide a dynamic programming solution to this question.)

b. (20 marks) It is expected that your recursive algorithm will not be polynomial-time in the worst case.

For the case where the number of job opportunities is m, and the number of days you are running the

company is n, give an asymptotic lower bound on the worst-case time complexity of your recursive

algorithm in terms of parameters m and n. Make your bound as tight as possible.

As part of your answer you need to provide a lower-bound recurrence (in terms of parameters m and

n) that describes the worst-case time complexity of your recursive algorithm; you need to justify your

recurrence, explaining why it appropriately describes a lower bound on the worst-case time complexity

of your algorithm; and you need to solve your recurrence (showing your working) to derive your answer

to this question.

[Make your answer as concise as possible – it should be no more than a page using minimum 11pt

font. Longer answers will not be marked.]

c. (30 marks) Develop a bottom-up dynamic programming solution to the problem (not memoised) by

implementing the public static method maximumProfitDynamic in the Dynamic class from the assignment2 package that accompanies this handout.

Your dynamic programming solution should run in polynomial time (in terms of m and n).

The dynamic solution does NOT need to find a valid selection of shifts and jobs that would result in

the largest possible profit earned by you for your company – it just needs to determine the maximum

profit.

d. (10 marks) Provide an asymptotic upper bound on the worst-case time complexity of your dynamic

programming solution for part (c) in terms of the parameters m (the number of job opportunities)

and n (the number of days you are running the company). Make your bounds as tight as possible and

justify your solution.

[Make your answer as concise as possible – it should be no more than half a page using minimum 11pt

font. Longer answers will not be marked.]

e. (20 marks) Extend your bottom-up dynamic programming solution from part (c) to calculate a valid

selection of shifts and job opportunities that results in the largest possible profit to your company, by

implementing the public static method optimalSolutionDynamic in the Dynamic class from the assignment2 package.

Like method maximumProfitDynamic, your implementation of this method should run in polynomial

time (in terms of m and n). It must be a bottom-up dynamic programming (not memoised) solution.

Practicalities

Do not change the class name of the Recursive or Dynamic classes or the package to which those files

belong. You many not change the signatures of the methods that you have to implement in any way or

alter their specifications. (That means that you cannot change the method name, parameter types, return

COMP4500/7500 Assignment 2 (September 27, 2019) 5

types or exceptions thrown by the those methods.) Do not modify any of the other classes or interfaces or

enumerated types defined in package assignment2.

You are encouraged to use Java 8 SE API classes, but no third party libraries should be used. (It is not

necessary, and makes marking hard.) Don’t write any code that is operating-system specific (e.g. by hardcoding in newline characters etc.), since we will batch test your code on a Unix machine. Your source file

should be written using ASCII characters only.

You may not write and submit any additional classes. Your solution to Q1(a) should be self-contained in the

Recursive class. Similarly your solution to parts Q1(c) and Q1(e) should be self-contained in the Dynamic

class. Both of these classes will be tested in isolation and should not depend upon each other.

The zip file for the assignment also some junit4 test classes to help you get started with testing your code.

The JUnit4 test classes as provided in the package assignment2.test are not intended to be an exhaustive

test for your code. Part of your task will be to expand on these tests to ensure that your code behaves as

required.

Your programming implementations will be tested by executing our own set of junit test cases. Code that

is submitted with compilation errors, or is not compatible with the supplied testing framework will receive

0 marks. A Java 8 compiler will be used to compile and test the code. The Recursive class will be tested

in isolation from the Dynamic class.

Implementations that do not satisfy the assignment requirements will receive 0 marks even if they pass some

of the test cases (e.g. if the solution given to Q1(c) is not a bottom-up dynamic programming solution, then

it will receive 0 marks.)

You may lose marks for poorly structured, poorly documented or hard to comprehend code, or code that is

not compatible with the assignment requirements. Line length should be less than or equal to 80 characters

so that it can be printed – please use spaces to indent your code instead of tabs to ensure compatability

with different machines. Don’t leave print statements in your submitted code.

COMP4500/7500 Assignment 2 (September 27, 2019) 6

Evaluation Criteria

Question 1

• Question 1 (a) (20 marks)

Given that your implementation satisfies the requirements of the question, your implementation will

be evaluated for correctness by executing our own set of junit test cases.

20 : All of our tests pass

16 : at least 80% of our tests pass

12 : at least 60% of our tests pass

8 : at least 40% of our tests pass

4 : at least 20% of our tests pass

0 : less than 20% of our test pass or work with little or no academic merit

Note: Code that is submitted with compilation errors, or is not compatible with the supplied testing

framework will receive 0 marks. A Java 8 compiler will be used to compile and test the code.

Implementations that do not satisfy the assignment requirements will receive 0 marks even if they pass

some of the test cases.

The Recursive class will be tested in isolation from the Dynamic class.

• Question 1 (b) (20 marks)

For this part of the question, the analysis should be no more than one page using minimum 11pt font.

Longer solutions will receive 0 marks. Also, if a plausible, neat, legible and simple to understand

solution to Q1(a) has not been given, this question will receive 0 marks. Otherwise the following

marking criteria applies.

20 : A correct asymptotic lower bound on the worst-case time complexity the recursive algorithm

from Q1(a) is given in terms of parameters m and n. The lower bound, which should be exponential in m, should be as tight as reasonably possible for the algorithm at hand. The time-complexity

given should be clearly justified by giving, justifying and solving a correct (lower bound) recurrence derived from your algorithm. Any assumptions made in the analysis are reasonable and

clearly stated. Asymptotic notation should be used correctly and the asymptotic time complexity

given has been simplified to remove lower order terms and unnecessary constant factors.

15 : A correct asymptotic lower bound on the worst-case time complexity the recursive algorithm

from Q1(a) is given in terms of parameters m and n. The lower bound should be exponential in

m. The time-complexity given should be mostly clearly justified by giving, justifying and solving

a correct (lower bound) recurrence derived from your algorithm. Any assumptions made in the

analysis are mostly reasonable and clearly stated.

10 : A reasonable attempt has been made to give a tight asymptotic lower bound on the worst-case

time complexity of the recursive algorithm from Q1(a) in terms of parameters m and n, and

to justify it with respect to a recurrence derived from the algorithm, however the analysis or

justification may contain minor mistakes or omissions or lack clarity.

5 : An attempt has been made to both give an asymptotic lower bound on the worst-case time

complexity of the recursive algorithm from Q1(a) in terms of parameters m and n, and to justify it

in terms of a recurrence derived from your algorithm, however it contains either a major mistake

or many mistakes, gives an unreasonably loose lower bound, or is not clearly justified by giving,

justifying and solving a correct (lower bound) recurrence derived from your algorithm.

COMP4500/7500 Assignment 2 (September 27, 2019) 7

0 : Work with little or no academic merit.

• Question 1 (c) (30 marks)

Given that your implementation satisfies the requirements of the question (i.e. it is a bottom-up

dynamic programming (not memoised) solution that runs in polynomial time in terms of m and n),

your implementation will be evaluated for correctness and efficiency by executing our own set of junit

test cases.

30 : All of our tests pass

24 : at least 80% of our tests pass

18 : at least 60% of our tests pass

12 : at least 40% of our tests pass

6 : at least 20% of our tests pass

0 : less than 20% of our test pass or work with little or no academic merit

Note: Code that is submitted with compilation errors, or is not compatible with the supplied testing

framework will receive 0 marks. A Java 8 compiler will be used to compile and test the code.

Implementations that do not satisfy the assignment requirements will receive 0 marks even if they pass

some of the test cases.

The Dynamic class will be tested in isolation from the Recursive class.

• Question 1 (d) (10 marks)

For this part of the question, the analysis should be no more than 1/2 of a page using minimum 11pt

font. Longer solutions will receive 0 marks. Also, if a plausible, neat, legible and simple to understand

solution to Q1(c) has not been given, this question will receive 0 marks. Otherwise the following

marking criteria applies.

10 : A correct asymptotic upper bound on the worst-case time complexity of the algorithm from

Q1(c) is given in terms of parameters m and n. The upper bound, which should be polynomial

in m and n, should be as tight as reasonably possible for the algorithm at hand. The timecomplexity given should be clearly justified with respect to the algorithm. Any assumptions

made in the analysis are reasonable and clearly stated. Asymptotic notation should be used

correctly and the asymptotic time complexity given has been simplified to remove lower order

terms and unnecessary constant factors.

7 : A correct asymptotic upper bound on the worst-case time complexity the algorithm from Q1(c)

is given in terms of parameters m and n. The upper bound should be polynomial in m and n.

The time-complexity given should be mostly clearly justified with respect to the algorithm. Any

assumptions made in the analysis are mostly reasonable and clearly stated.

5 : A reasonable attempt has been made to give a tight asymptotic upper bound on the worst-case

time complexity of the algorithm from Q1(c) in terms of parameters m and n, and to justify it,

however the analysis or justification may contain minor mistakes or omissions or lack clarity.

3 : An attempt has been made to give an asymptotic upper bound on the worst-case time complexity

of the algorithm from Q1(c) in terms of parameters m and n, and justify it, however it contains

either a major mistake or many mistakes, gives an unreasonably loose upper bound, or is not

clearly justified.

0 : Work with little or no academic merit.

COMP4500/7500 Assignment 2 (September 27, 2019) 8

• Question 1 (e) (20 marks)

Given that your implementation satisfies the requirements of the question (i.e. it is a bottom-up

dynamic programming (not memoised) solution that runs in polynomial time in terms of m and n),

your implementation will be evaluated for correctness and efficiency by executing our own set of junit

test cases.

20 : All of our tests pass

16 : at least 80% of our tests pass

12 : at least 60% of our tests pass

8 : at least 40% of our tests pass

4 : at least 20% of our tests pass

0 : less than 20% of our test pass or work with little or no academic merit

Note: Code that is submitted with compilation errors, or is not compatible with the supplied testing

framework will receive 0 marks. A Java 8 compiler will be used to compile and test the code.

Implementations that do not satisfy the assignment requirements will receive 0 marks even if they pass

some of the test cases.

The Dynamic class will be tested in isolation from the Recursive class.

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