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MAST30011 Graph Theory
Creation date：2024-04-30 18:00:49
Belonging category：数学mathematics
Graph Theory

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MAST30011 Graph Theory
Assignment 1
Student Name Student Number
Tutor’s Name Practical Class Day/Time
Submit your assignment online in Canvas LMS.
Please attach this cover sheet to your assignment or use a blank sheet of
paper as the first page of your assignment with Student Name, Student
Number, Tutor’s Name, Practical Class Day/Time clearly stated.
• Late submission will not be accepted unless accompanied by a medical certificate
(or a similar special consideration). If there are extenuating circumstances you
need to contact your lecturer, preferably prior to the submission deadline. Medical
certificates are usually required.
• Information on how to submit assignments can be found in the Canvas LMS.
• Full working must be shown in your solutions.
• Marks will be deducted for incomplete working, insufficient justification or incorrect
use of terminology.
• There are 6 questions (on two pages) worth 40 marks in total.
• This assignment will contribute 10% to your final mark.
MAST30011 Graph Theory 2022
ASSIGNMENT 1
Due 13:00pm Thursday 14 April 2022
1. In the following graph, [8 marks]
(a) give an example of a longest trail
(b) give an example of a longest cycle
(c) give an example of a longest path
(d) list all induced subgraphs which are paths of length 4
(e) list all bridges of the graph
(f) compute the eccentricities of a, b, c, d, respectively
(g) give the diameter of the graph
(h) give an automorphism of the graph which is not the identity map from the
vertex set to itself.
w
a
b
c
d
u
v
Figure 1: Question 1
2. Let T be a tree with order n ≥ 8 in which every non-leaf vertex has degree 7. Prove
that n ≡ 2 mod 6 (that is, there exists an integer k such that n = 6k + 2). Prove
further that the number of leaves of T is strictly greater than 5n
6
. [6 marks]
3. Prove that a nontrivial graph is a tree if and only if it has exactly one spanning
tree. [6 marks]
4. Let G be the following weighted graph, where the number next to each edge is the
weight of the edge.
Apply Dijkstra’s algorithm to find the distance from a to all other vertices of G.
State what the labels of vertices are when each new vertex is chosen to be added
to the set S. Draw the tree of shortest paths obtained from your implementation
of the algorithm, and explicitly give the shortest path from a to every other vertex
obtained from this tree. [6 marks]
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CMP7000A CMP-7038B Math 263 LAW3016 CS371 STAT 334 FIN0008 ACC3004 STAT 371 ​COMP1921 MTH201 ACCT2000 UN3412 CIV6000 MATHS 3021 MATE7014 ECON1 CIBC6035 LAW121G COMM 321 CSC8204R TTM2033 CSCI 2600 MAE 115 LNG302 CENV6175W1 ECON30019 CPS2015 BST969 DDES9015 AMATH242 CS 1151 N1592 ACCT600 EG503G SMM519 EC318 Ecstatistics EEE 471 MARK2051 Topology COM00037H ACCT3000 MTHM501 EG501V COM00055H BUSN9085 GGR273 MATH 2B ITD102 MA214 ECON0060 ECE3114 ECMM447 Mechanics CCT361H5S BSAN3210 WELF2001 Fin3001 RESP5001 STA 137 Linguistics 101 CSCI368 CMPSC497 LUBS3655 OMBA 5355 BUSM2562 ​BFF5902 CYBR7001 CULT2005 ECON 7720 MTRX3760 FSE598 ​LUE1001 MGSC 7100 CS3240 COSC7500 ACCT3091 INFOGR TRAN 2080 DESIGN CIVE215001 CIVE2360 CPSC 8430 FNCE2003 Stoichiometry INFS6023 Quantitative Method Math 21D ECE5179 Design ​ECON8022 Chemical DMS 213 ADM1370 BFF5902 BFF2701 AGRI10051 AMN400 ECON7322 ​FINC5090 ​MATH1052 ​SciComp Elec4622 ​FINS5516 ENG 101 MMM143 CS431CA2 BSAN2201 EBSC7070 ES9v9-10 PLIN0009 DATA 8 MATH 101 BCPM0097 ​MAT 237 BISM2201 EEE8099 Physics 11 ECE2238B Biostat 234 ​ECON30009 INF10025 CHEM252 CCMA4008 CIVE 3007 STAT0031 ELEC ENG 3108 MGMT90140 CHEM 252 STAT3016 MMM095 ​MMGT6016 Legal STAT 311 ELEC9764 COMP 370 TCS 3053 EECS 1021 FIT1051 C/C++ EE3C COMP2003J COM398 COMP51915 Simulator FIN42330 8PRO102 PGD ELEC5160 XJCO1921 COMP5123M INFS 2042 CHE1148H ECA5313 IN3329 Microsoft Modeling B15 2TT COMP3687 COMP2432 DMS2030 KAN4TSF CFKG CSE 5322 CSE 445 STATS 3DA3 CHC5223 COMP1048 EL3105 EECS 3221 CS231 ME 4434 ITP4510 ITP4501 CSCI 5708 Controller EECE 5699 CPEN 231L CPN programs CSC8016 MATU9D2 ENGN4213 2. SVM. (10 points) Consider an SVM classifier using RBF kernel, and finish the following python code to search for the optimum kernel parameter γ. You are required to calculate the RBF function and search yourself, instead of using functions in Scikit-Learn (sklearn). def parameter search(gamma list ,Xtr,ytr,Xts,yts ,...): """ Parameters gamma list: A list of RBF kernel parameter gamma to search for Xtr: Training data, shape (ntr,nrow,ncol) ytr: Training labels, shape (ntr,) Xts: Test data, shape (nts,nrow,ncol) yts: Test labels, shape (nts,) ... Add other parameters as needed Returns: gamma optimum: The gamma with minimum error on Xts, yts """ ... return gamma optimum
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