addpath('C:\Users\Buff\Documents\SJSU\Course related\ME 30\Example Code')

Matrices

A = [1 2 3; 4,5,6; 7 8 9]

size(A)
A(1,2)
A(4,2) = 13
A(4,2) = 13;

B=[sin(pi/4), -2^3, size(A,1)]

C = 1 : 0.25 : 2

D = 0 : 5

E = linspace(0,5,3)

F = logspace(1,3,5)

A = [ A ; [ 10 11 12 ] ]

G = A(1:3, 1:2)

H = [1:4; linspace(10,40,4); 400:-100:100]

I = H( [1  2],  : )

J = H( : )

K=zeros(3)

L=ones(4)

M=eye(3)

N=L*7

O=N+eye(4)

P=B*E

P=B*E�

Q=A+B

Q=B+E

[1 2]*[3 ; 4]

R = [1 -1 -1; 0 0 10e3; 0 10e3 0];
V = [0 10 10]�;
I = R \ V

v1 = [3 2 -5]
v2 = [2 -4 10]
sum = v1 .* v2

function rmsout = rms(v)
% rms(v) root mean square of the elements of the column vector v
% Function rms(v) returns the root mean square of the elements 
% of the column vector, v. If v is a matrix, then rms(v) returns
% a row vector such that each element is the root mean square
%of the elements in the corresponding column of v.
vs = v.^2;   % what does this line do? Also note semicolon.
s = size(v); % what does this line do?
rmsout=sqrt(sum(vs,1)/s(1));  % what is s(1)?

v=sin([0: 0.0001*pi: 2*pi]')

Lecture14

length(ones(1,3))
size(zeros(2,3))

G=[2 4 6; 8 10 12]
G(2,3)
G(: , 2)
G(4)
G(1,1)=0
G(1, :)=0

H=1:9

I=reshape(H,3,3)
I = I�
J=I(3:-1:1,:)
K=I(:, 3:-1:1)
L = reshape(I(9:-1:1),3,3)

L=ones(1,5)
M=ones(1,4)

N = 2*L
N � 1

O = [ 1:5 ]
O + M
L * O
L* O�
L .* O

distances=[120, 213, 87, 35]
times=[ 2, 3.8, 0.9, 0.6]
speeds=distances ./ times
max_speed=max(speeds)
[max_speed, i] = max(speeds)

R=[1 -1 1; 0 0 10e3; 0 10e3 0]

eq1 = [ 1 -1 1]
eq2 = [0 0 10e3]
eq3 = [0 10e3 0]
R = [eq1; eq2; eq3]

V = [0 10 10]�

I = R \ V

v1=[3 2 -5]
v2=[2 -4 10]
sum(v1.*v2)

function [z] = dot_prod(v1, v2)
% dot_prod(v1,v2) computes the vector dot product between vectors v1 and v2
% Function dot_prod(v1,v2) computes and returns the vector dot product between vectors v1 and v2

z = sum(v1.*v2);
A = [ 1  2  3 ];
B = [ 4  5  6 ];	% what should A dot B result in?

A_dot_B = dot_prod(A,B)

load ('PDXprecip.dat')  % must be in search path!

type file_io_example.m

file_io_example	% to run

multi_plot.m