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2022 S1 Assignments |
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Exercise 1 | 151 K |
Exercise 1 - solutions | 158 K |
Exercise 2 | 147 K |
Exercise 2 - solutions | 200 K |
Exercise 3 | 155 K |
Exercise 3 - solutions | 198 K |
Exercise 4 | 158 K |
Exercise 4 - solutions | 169 K |
Exercise 5 | 131 K |
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2022 S1 Handouts and Information |
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01 - COMO303 Course Info | 91 K |
02 - Timetable COMO303, 2022 | 40 K |
03 - MATLAB Otago | 133 K |
04 - Portraits | 782 K |
05 - Infamous numerical disasters | 27 K |
06 - Sources of error | 28 K |
07 - Vector and matrix norms | 41 K |
08 - Examples of ill-conditioned problems | 33 K |
09 - Greek letters | 21 K |
10 - Useful facts from linear algebra | 45 K |
11 - Housholder reflections (optional) | 52 K |
12 - Summary of matrix decompositions | 34 K |
13 - Taylor's theorem | 34 K |
14 - Some common quadrature rules | 49 K |
15 - Euler's method | 71 K |
16 - Initial value problems | 23 K |
Class Rep COMO303 | 21 K |
Exam COMO303 2017 | 262 K |
Exam COMO303 2018 | 164 K |
Exam Short Answers 2017-18 | 127 K |
Notes on the 2022 Exam | 32 K |
OMPSA | 2249 K |
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2022 S1 Lab 01 |
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Lab1 | 109 K |
Lab1 - solutions | 128 K |
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2022 S1 Lab 02 |
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bidiagonal.m | 1 K |
Lab2 | 160 K |
Lab2 - solutions | 178 K |
lambdamatrix0.m | 1 K |
vectormax.m | 1 K |
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2022 S1 Lab 03 |
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bidiagonal.m | 1 K |
Lab3 | 132 K |
Lab3 - solutions | 147 K |
solveUpperBidiagonal.m | 1 K |
testBidiagonal.m | 1 K |
testTridiagonal.m | 1 K |
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2022 S1 Lab 04 |
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Lab4 | 160 K |
Lab4 - solutions | 184 K |
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2022 S1 Lab 05 |
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Lab5 | 139 K |
Lab5 - solutions | 160 K |
makeImage.m | 1 K |
rowMatrix.m | 1 K |
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2022 S1 Lab 06 |
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Lab6 | 130 K |
Lab6 - solutions | 158 K |
solveXXX.m | 1 K |
testsolver | 1 K |
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2022 S1 Lab 07 |
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contourPlot.m | 1 K |
f.m | 1 K |
Lab7 | 117 K |
Lab7 - solutions | 140 K |
steepest.m | 1 K |
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2022 S1 Lab 08 |
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Lab8 | 142 K |
Lab8 - solutions | 169 K |
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2022 S1 Lab 09 |
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Lab9 | 108 K |
Lab9 - solutions | 143 K |
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2022 S1 Lab 10 |
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evalPoly.m | 1 K |
Lab10 | 172 K |
Lab10 - solutions | 188 K |
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2022 S1 Lab 11 |
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Lab11 | 136 K |
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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 |
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2022 S1 MATLAB 1 - Introduction |
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blas.m | 1 K |
gfun.m | 1 K |
integral1.m | 1 K |
integral2.m | 1 K |
iteration.m | 1 K |
iteration2.m | 1 K |
summation.m | 1 K |
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2022 S1 MATLAB 2 - NLA Direct Methods |
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backsubs.m | 1 K |
blur.m | 1 K |
clocktower.png | 64 K |
compress.m | 1 K |
kernel.m | 1 K |
Kiwi.png | 362 K |
lucheck.m | 1 K |
lusolve.m | 1 K |
PageRank.m | 1 K |
point.png | 1 K |
springs.m | 1 K |
Tikhonov.m | 1 K |
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2022 S1 MATLAB 3 - NLA Iterative Methods |
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iterativesolver.m | 3 K |
sparsematrix.m | 1 K |
sparsematrix2.m | 1 K |
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2022 S1 MATLAB 4 - Optimisation |
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descent.m | 1 K |
Dunedin.m | 1 K |
FDNewton.m | 1 K |
kmeans.m | 2 K |
kmeansdemo.m | 2 K |
kmeans map to clusters.m | 1 K |
kmeans new image.m | 1 K |
min1.m | 1 K |
min2.m | 1 K |
Newton.m | 1 K |
penalty.m | 1 K |
plotP.m | 1 K |
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2022 S1 MATLAB 5 - Interpolation |
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BezierN.m | 1 K |
CubicBezier.m | 1 K |
cubspline.m | 1 K |
cubspline1.m | 1 K |
polyint.m | 1 K |
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2022 S1 MATLAB 6 - ODEs |
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Euler.m | 1 K |
ODEsolver.m | 1 K |
pendulum.m | 1 K |
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Private Tutoring for 2022 |
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Download the list of private tutors |