Mathematics
Te Tari Pāngarau me te Tatauranga
Department of Mathematics & Statistics

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Resources for Como303


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2022 S1 Assignments

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Exercise 1151 K  
Exercise 1 - solutions158 K  
Exercise 2147 K  
Exercise 2 - solutions200 K  
Exercise 3155 K  
Exercise 3 - solutions198 K  
Exercise 4158 K  
Exercise 4 - solutions169 K  
Exercise 5131 K  
 

2022 S1 Handouts and Information

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01 - COMO303 Course Info91 K  
02 - Timetable COMO303, 202240 K  
03 - MATLAB Otago133 K  
04 - Portraits782 K  
05 - Infamous numerical disasters27 K  
06 - Sources of error28 K  
07 - Vector and matrix norms41 K  
08 - Examples of ill-conditioned problems33 K  
09 - Greek letters21 K  
10 - Useful facts from linear algebra45 K  
11 - Housholder reflections (optional)52 K  
12 - Summary of matrix decompositions34 K  
13 - Taylor's theorem34 K  
14 - Some common quadrature rules49 K  
15 - Euler's method71 K  
16 - Initial value problems23 K  
Class Rep COMO30321 K  
Exam COMO303 2017262 K  
Exam COMO303 2018164 K  
Exam Short Answers 2017-18127 K  
Notes on the 2022 Exam32 K  
OMPSA2249 K  
 

2022 S1 Lab 01

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Lab1109 K  
Lab1 - solutions128 K  
 

2022 S1 Lab 02

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bidiagonal.m1 K  
Lab2160 K  
Lab2 - solutions178 K  
lambdamatrix0.m1 K  
vectormax.m1 K  
 

2022 S1 Lab 03

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bidiagonal.m1 K  
Lab3132 K  
Lab3 - solutions147 K  
solveUpperBidiagonal.m1 K  
testBidiagonal.m1 K  
testTridiagonal.m1 K  
 

2022 S1 Lab 04

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Lab4160 K  
Lab4 - solutions184 K  
 

2022 S1 Lab 05

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Lab5139 K  
Lab5 - solutions160 K  
makeImage.m1 K  
rowMatrix.m1 K  
 

2022 S1 Lab 06

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Lab6130 K  
Lab6 - solutions158 K  
solveXXX.m1 K  
testsolver1 K  
 

2022 S1 Lab 07

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contourPlot.m1 K  
f.m1 K  
Lab7117 K  
Lab7 - solutions140 K  
steepest.m1 K  
 

2022 S1 Lab 08

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Lab8142 K  
Lab8 - solutions169 K  
 

2022 S1 Lab 09

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Lab9108 K  
Lab9 - solutions143 K  
 

2022 S1 Lab 10

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evalPoly.m1 K  
Lab10172 K  
Lab10 - solutions188 K  
 

2022 S1 Lab 11

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Lab11136 K  
 

2022 S1 Lecture Notes

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Lecture 01 (28 Feb)335 K  
Lecture 02 (02 Mar)62 K  
Lecture 03 (04 Mar)58 K  
Lecture 04 (07 Mar)62 K  
Lecture 05 (09 Mar)65 K  
Lecture 06 (11 Mar)101 K  
Lecture 07 (14 Mar)63 K  
Lecture 08 (16 Mar)64 K  
Lecture 09 (21 Mar)75 K  
Lecture 10 (23 Mar)70 K  
Lecture 11 (25 Mar)76 K  
Lecture 12 (28 Mar)316 K  
Lecture 13 (30 Mar)64 K  
Lecture 14 (04 Apr)57 K  
Lecture 15 (06 Apr)110 K  
Lecture 16 (08 Apr)77 K  
Lecture 17 (11 Apr)199 K  
Lecture 18 (13 Apr)66 K  
Lecture 19 (27 Apr)55 K  
Lecture 20 (29 Apr)408 K  
Lecture 21 (02 May)64 K  
Lecture 22 (04 May)73 K  
Lecture 23 (09 May)66 K  
Lecture 24 (11 May)58 K  
Lecture 25 (13 May)63 K  
Lecture 26 (16 May)60 K  
Lecture 27 (18 May)64 K  
Lecture 28 (23 May)61 K  
 

2022 S1 MATLAB 1 - Introduction

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blas.m1 K  
gfun.m1 K  
integral1.m1 K  
integral2.m1 K  
iteration.m1 K  
iteration2.m1 K  
summation.m1 K  
 

2022 S1 MATLAB 2 - NLA Direct Methods

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backsubs.m1 K  
blur.m1 K  
clocktower.png64 K  
compress.m1 K  
kernel.m1 K  
Kiwi.png362 K  
lucheck.m1 K  
lusolve.m1 K  
PageRank.m1 K  
point.png1 K  
springs.m1 K  
Tikhonov.m1 K  
 

2022 S1 MATLAB 3 - NLA Iterative Methods

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iterativesolver.m3 K  
sparsematrix.m1 K  
sparsematrix2.m1 K  
 

2022 S1 MATLAB 4 - Optimisation

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descent.m1 K  
Dunedin.m1 K  
FDNewton.m1 K  
kmeans.m2 K  
kmeansdemo.m2 K  
kmeans map to clusters.m1 K  
kmeans new image.m1 K  
min1.m1 K  
min2.m1 K  
Newton.m1 K  
penalty.m1 K  
plotP.m1 K  
 

2022 S1 MATLAB 5 - Interpolation

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BezierN.m1 K  
CubicBezier.m1 K  
cubspline.m1 K  
cubspline1.m1 K  
polyint.m1 K  
 

2022 S1 MATLAB 6 - ODEs

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Euler.m1 K  
ODEsolver.m1 K  
pendulum.m1 K  
 

Private Tutoring for 2022

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