Problem Set 2 Minimum Spanning Trees



CSC 226: Problem Set 2
Problem Set 2, Programming Part
Minimum Spanning Trees

1 Programming Assignment
Theresa May, having just watched Shaun of the Dead, becomes worried that a zombie
revolt is imminent. Should this happen, a natural fear is that the zombies will organize
clandestine meetings, pool their collective minimal brain power, and ultimately push
for “Zexit” (Zombie Exit), thereby crippling the eponymous unity of the UK.
Therefore, May creates the Ministry of Zombie Affairs, to be headed by Simon Pegg.
Simon decides that the best way to prevent zombie meetings is by scrapping London’s
current road network and replacing it with a network with the property that any two
places are connected by precisely one path. This way, zombie drivers easily can be
stopped using minimal blockades. Unfortunately, nearly all the funds required were
spent on billboards warning of Zexit, and so Simon needs to construct a road network
whose total length is minimal in order to minimize construction costs. More formally,
the problem is described by the following Input and Output.
Input: An edge-weighted graph G of n vertices. Each edge weight corresponds
to the cost of constructing a road between two places in London.
Output: The cost (sum of the edge weights) of the minimum-cost solution.
A Java template has been provided containing an empty function mst. This function
takes a two-dimensional integer array A that represents the weighted graph in the
form of an adjacency matrix. This function returns the sum of the weights of the
edges in a minimum spanning tree of G. Your task is to write the body of the mst
function, which can include calls to helper functions that you write. Your code is not
required to check for incorrect inputs or incorrectly-formed input data.
You must use the provided Java template as the basis of your submission. You
may not change the name, return type, or parameters of the mst function. The
main function in the template contains code to help you test your implementation
by entering test data or reading it from a file. A sample file is also provided (see
the comments in for the file format). You may modify the main function
or any other function, because your submission will be tested using a different main
function. Only the contents of the mst function and associated helper functions (if
any) will be marked.
2 Evaluation Criteria
The programming assignment will be marked out of 40, based on a combination of
automated testing (using large graphs) and human inspection.
You are to implement Kruskal’s algorithm, equipped with the Weighted Quick-Union
version of Union-Find (which you also are to implement). If implemented correctly,
the running time of your code should be O(|E| log |V |). The marks for each submission
will be based on both the asymptotic worst case running time and the ability of the
algorithm to handle inputs of different sizes. The table below shows the expectations
associated with different scores.
CSC 226: Problem Set 2
Score Description
0 – 15 Submission does not compile or does not conform to the provided
16 – 30 The implemented algorithm is not O(|E| log |V |) or is substantially
inaccurate on the tested inputs.
31 – 40 The implemented algorithm is O(|E| log |V |) and gives the correct
answer on all tested inputs.
To be properly tested, every submission must compile correctly as submitted and
must be based on the provided template. If your submission does not compile for any
reason (including even trivial mistakes like typos) or was not based on the template,
it will receive at most 15 out of 40. The best way to ensure your submission is correct
is to download it from conneX after submitting and test it.
You are not permitted to revise your submission after the due date, and late submissions will not be accepted, so you should ensure that you have submitted the
correct version of your code before the due date. conneX will allow you to change
your submission before the due date if you notice a mistake. After submitting your
assignment, conneX will automatically send you a confirmation email. If you do not
receive such an email, your submission was not received. If you have problems with
the submission process, send an email to the instructor before the due date.


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