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

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## Resources for Como303

Recent additions are indicated like this

### 2022 S1 Assignments

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

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
Notes on the 2022 Exam32 K
OMPSA2249 K

### 2022 S1 Lab 01

Lab1109 K
Lab1 - solutions128 K

### 2022 S1 Lab 02

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

### 2022 S1 Lab 03

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

### 2022 S1 Lab 04

Lab4160 K
Lab4 - solutions184 K

### 2022 S1 Lab 05

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

### 2022 S1 Lab 06

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

### 2022 S1 Lab 07

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

### 2022 S1 Lab 08

Lab8142 K
Lab8 - solutions169 K

### 2022 S1 Lab 09

Lab9108 K
Lab9 - solutions143 K

### 2022 S1 Lab 10

evalPoly.m1 K
Lab10172 K
Lab10 - solutions188 K

Lab11136 K

### 2022 S1 Lecture Notes

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

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

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

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

### 2022 S1 MATLAB 4 - Optimisation

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

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

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

### Private Tutoring for 2022

• assignments
• tests and exam