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565 lines
17 KiB
Matlab
565 lines
17 KiB
Matlab
---
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language: Matlab
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filename: learnmatlab.mat
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contributors:
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- ["mendozao", "http://github.com/mendozao"]
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- ["jamesscottbrown", "http://jamesscottbrown.com"]
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- ["Colton Kohnke", "http://github.com/voltnor"]
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- ["Claudson Martins", "http://github.com/claudsonm"]
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---
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MATLAB stands for MATrix LABoratory. It is a powerful numerical computing language commonly used in engineering and mathematics.
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If you have any feedback please feel free to reach me at
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[@the_ozzinator](https://twitter.com/the_ozzinator), or
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[osvaldo.t.mendoza@gmail.com](mailto:osvaldo.t.mendoza@gmail.com).
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```matlab
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%% Code sections start with two percent signs. Section titles go on the same line.
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% Comments start with a percent sign.
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%{
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Multi line comments look
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something
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like
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this
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%}
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% Two percent signs denote the start of a new code section
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% Individual code sections can be run by moving the cursor to the section followed by
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% either clicking the "Run Section" button
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% or using Ctrl+Shift+Enter (Windows) or Cmd+Shift+Return (OS X)
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%% This is the start of a code section
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% One way of using sections is to separate expensive but unchanging start-up code like loading data
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load myFile.mat y
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%% This is another code section
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% This section can be edited and run repeatedly on its own, and is helpful for exploratory programming and demos
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A = A * 2;
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plot(A);
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%% Code sections are also known as code cells or cell mode (not to be confused with cell arrays)
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% commands can span multiple lines, using '...':
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a = 1 + 2 + ...
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+ 4
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% commands can be passed to the operating system
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!ping google.com
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who % Displays all variables in memory
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whos % Displays all variables in memory, with their types
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clear % Erases all your variables from memory
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clear('A') % Erases a particular variable
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openvar('A') % Open variable in variable editor
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clc % Erases the writing on your Command Window
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diary % Toggle writing Command Window text to file
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ctrl-c % Abort current computation
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edit('myfunction.m') % Open function/script in editor
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type('myfunction.m') % Print the source of function/script to Command Window
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profile on % turns on the code profiler
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profile off % turns off the code profiler
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profile viewer % Open profiler
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help command % Displays documentation for command in Command Window
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doc command % Displays documentation for command in Help Window
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lookfor command % Searches for command in the first commented line of all functions
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lookfor command -all % searches for command in all functions
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% Output formatting
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format short % 4 decimals in a floating number
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format long % 15 decimals
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format bank % only two digits after decimal point - for financial calculations
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fprintf('text') % print "text" to the screen
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disp('text') % print "text" to the screen
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% Variables & Expressions
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myVariable = 4 % Notice Workspace pane shows newly created variable
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myVariable = 4; % Semi colon suppresses output to the Command Window
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4 + 6 % ans = 10
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8 * myVariable % ans = 32
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2 ^ 3 % ans = 8
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a = 2; b = 3;
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c = exp(a)*sin(pi/2) % c = 7.3891
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% Calling functions can be done in either of two ways:
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% Standard function syntax:
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load('myFile.mat', 'y') % arguments within parentheses, separated by commas
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% Command syntax:
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load myFile.mat y % no parentheses, and spaces instead of commas
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% Note the lack of quote marks in command form: inputs are always passed as
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% literal text - cannot pass variable values. Also, can't receive output:
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[V,D] = eig(A); % this has no equivalent in command form
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[~,D] = eig(A); % if you only want D and not V
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% Logicals
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1 > 5 % ans = 0
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10 >= 10 % ans = 1
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3 ~= 4 % Not equal to -> ans = 1
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3 == 3 % equal to -> ans = 1
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3 > 1 && 4 > 1 % AND -> ans = 1
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3 > 1 || 4 > 1 % OR -> ans = 1
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~1 % NOT -> ans = 0
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% Logicals can be applied to matrices:
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A > 5
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% for each element, if condition is true, that element is 1 in returned matrix
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A( A > 5 )
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% returns a vector containing the elements in A for which condition is true
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% Strings
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a = 'MyString'
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length(a) % ans = 8
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a(2) % ans = y
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[a,a] % ans = MyStringMyString
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% Cells
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a = {'one', 'two', 'three'}
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a(1) % ans = 'one' - returns a cell
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char(a(1)) % ans = one - returns a string
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% Structures
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A.b = {'one','two'};
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A.c = [1 2];
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A.d.e = false;
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% Vectors
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x = [4 32 53 7 1]
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x(2) % ans = 32, indices in Matlab start 1, not 0
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x(2:3) % ans = 32 53
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x(2:end) % ans = 32 53 7 1
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x = [4; 32; 53; 7; 1] % Column vector
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x = [1:10] % x = 1 2 3 4 5 6 7 8 9 10
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x = [1:2:10] % Increment by 2, i.e. x = 1 3 5 7 9
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% Matrices
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A = [1 2 3; 4 5 6; 7 8 9]
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% Rows are separated by a semicolon; elements are separated with space or comma
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% A =
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% 1 2 3
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% 4 5 6
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% 7 8 9
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A(2,3) % ans = 6, A(row, column)
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A(6) % ans = 8
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% (implicitly concatenates columns into vector, then indexes into that)
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A(2,3) = 42 % Update row 2 col 3 with 42
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% A =
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% 1 2 3
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% 4 5 42
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% 7 8 9
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A(2:3,2:3) % Creates a new matrix from the old one
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%ans =
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% 5 42
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% 8 9
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A(:,1) % All rows in column 1
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%ans =
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% 1
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% 4
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% 7
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A(1,:) % All columns in row 1
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%ans =
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% 1 2 3
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[A ; A] % Concatenation of matrices (vertically)
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%ans =
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% 1 2 3
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% 4 5 42
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% 7 8 9
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% 1 2 3
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% 4 5 42
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% 7 8 9
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% this is the same as
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vertcat(A,A);
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[A , A] % Concatenation of matrices (horizontally)
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%ans =
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% 1 2 3 1 2 3
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% 4 5 42 4 5 42
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% 7 8 9 7 8 9
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% this is the same as
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horzcat(A,A);
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A(:, [3 1 2]) % Rearrange the columns of original matrix
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%ans =
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% 3 1 2
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% 42 4 5
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% 9 7 8
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size(A) % ans = 3 3
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A(1, :) =[] % Delete the first row of the matrix
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A(:, 1) =[] % Delete the first column of the matrix
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transpose(A) % Transpose the matrix, which is the same as:
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A one
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ctranspose(A) % Hermitian transpose the matrix
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% (the transpose, followed by taking complex conjugate of each element)
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A' % Concise version of complex transpose
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A.' % Concise version of transpose (without taking complex conjugate)
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% Element by Element Arithmetic vs. Matrix Arithmetic
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% On their own, the arithmetic operators act on whole matrices. When preceded
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% by a period, they act on each element instead. For example:
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A * B % Matrix multiplication
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A .* B % Multiple each element in A by its corresponding element in B
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% There are several pairs of functions, where one acts on each element, and
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% the other (whose name ends in m) acts on the whole matrix.
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exp(A) % exponentiate each element
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expm(A) % calculate the matrix exponential
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sqrt(A) % take the square root of each element
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sqrtm(A) % find the matrix whose square is A
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% Plotting
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x = 0:.10:2*pi; % Creates a vector that starts at 0 and ends at 2*pi with increments of .1
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y = sin(x);
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plot(x,y)
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xlabel('x axis')
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ylabel('y axis')
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title('Plot of y = sin(x)')
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axis([0 2*pi -1 1]) % x range from 0 to 2*pi, y range from -1 to 1
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plot(x,y1,'-',x,y2,'--',x,y3,':') % For multiple functions on one plot
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legend('Line 1 label', 'Line 2 label') % Label curves with a legend
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% Alternative method to plot multiple functions in one plot.
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% while 'hold' is on, commands add to existing graph rather than replacing it
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plot(x, y)
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hold on
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plot(x, z)
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hold off
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loglog(x, y) % A log-log plot
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semilogx(x, y) % A plot with logarithmic x-axis
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semilogy(x, y) % A plot with logarithmic y-axis
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fplot (@(x) x^2, [2,5]) % plot the function x^2 from x=2 to x=5
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grid on % Show grid; turn off with 'grid off'
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axis square % Makes the current axes region square
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axis equal % Set aspect ratio so data units are the same in every direction
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scatter(x, y); % Scatter-plot
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hist(x); % Histogram
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stem(x); % Plot values as stems, useful for displaying discrete data
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bar(x); % Plot bar graph
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z = sin(x);
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plot3(x,y,z); % 3D line plot
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pcolor(A) % Heat-map of matrix: plot as grid of rectangles, coloured by value
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contour(A) % Contour plot of matrix
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mesh(A) % Plot as a mesh surface
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h = figure % Create new figure object, with handle h
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figure(h) % Makes the figure corresponding to handle h the current figure
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close(h) % close figure with handle h
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close all % close all open figure windows
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close % close current figure window
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shg % bring an existing graphics window forward, or create new one if needed
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clf clear % clear current figure window, and reset most figure properties
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% Properties can be set and changed through a figure handle.
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% You can save a handle to a figure when you create it.
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% The function get returns a handle to the current figure
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h = plot(x, y); % you can save a handle to a figure when you create it
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set(h, 'Color', 'r')
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% 'y' yellow; 'm' magenta, 'c' cyan, 'r' red, 'g' green, 'b' blue, 'w' white, 'k' black
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set(h, 'LineStyle', '--')
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% '--' is solid line, '---' dashed, ':' dotted, '-.' dash-dot, 'none' is no line
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get(h, 'LineStyle')
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% The function gca returns a handle to the axes for the current figure
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set(gca, 'XDir', 'reverse'); % reverse the direction of the x-axis
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% To create a figure that contains several axes in tiled positions, use subplot
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subplot(2,3,1); % select the first position in a 2-by-3 grid of subplots
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plot(x1); title('First Plot') % plot something in this position
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subplot(2,3,2); % select second position in the grid
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plot(x2); title('Second Plot') % plot something there
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% To use functions or scripts, they must be on your path or current directory
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path % display current path
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addpath /path/to/dir % add to path
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rmpath /path/to/dir % remove from path
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cd /path/to/move/into % change directory
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% Variables can be saved to .mat files
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save('myFileName.mat') % Save the variables in your Workspace
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load('myFileName.mat') % Load saved variables into Workspace
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% M-file Scripts
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% A script file is an external file that contains a sequence of statements.
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% They let you avoid repeatedly typing the same code in the Command Window
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% Have .m extensions
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% M-file Functions
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% Like scripts, and have the same .m extension
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% But can accept input arguments and return an output
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% Also, they have their own workspace (ie. different variable scope).
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% Function name should match file name (so save this example as double_input.m).
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% 'help double_input.m' returns the comments under line beginning function
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function output = double_input(x)
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%double_input(x) returns twice the value of x
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output = 2*x;
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end
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double_input(6) % ans = 12
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% You can also have subfunctions and nested functions.
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% Subfunctions are in the same file as the primary function, and can only be
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% called by functions in the file. Nested functions are defined within another
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% functions, and have access to both its workspace and their own workspace.
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% If you want to create a function without creating a new file you can use an
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% anonymous function. Useful when quickly defining a function to pass to
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% another function (eg. plot with fplot, evaluate an indefinite integral
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% with quad, find roots with fzero, or find minimum with fminsearch).
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% Example that returns the square of its input, assigned to the handle sqr:
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sqr = @(x) x.^2;
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sqr(10) % ans = 100
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doc function_handle % find out more
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% User input
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a = input('Enter the value: ')
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% Stops execution of file and gives control to the keyboard: user can examine
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% or change variables. Type 'return' to continue execution, or 'dbquit' to exit
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keyboard
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% Reading in data (also xlsread/importdata/imread for excel/CSV/image files)
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fopen(filename)
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% Output
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disp(a) % Print out the value of variable a
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disp('Hello World') % Print out a string
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fprintf % Print to Command Window with more control
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% Conditional statements (the parentheses are optional, but good style)
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if (a > 23)
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disp('Greater than 23')
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elseif (a == 23)
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disp('a is 23')
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else
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disp('neither condition met')
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end
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% Looping
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% NB. looping over elements of a vector/matrix is slow!
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% Where possible, use functions that act on whole vector/matrix at once
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for k = 1:5
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disp(k)
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end
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k = 0;
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while (k < 5)
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k = k + 1;
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end
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% Timing code execution: 'toc' prints the time since 'tic' was called
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tic
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A = rand(1000);
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A*A*A*A*A*A*A;
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toc
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% Connecting to a MySQL Database
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dbname = 'database_name';
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username = 'root';
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password = 'root';
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driver = 'com.mysql.jdbc.Driver';
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dburl = ['jdbc:mysql://localhost:8889/' dbname];
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javaclasspath('mysql-connector-java-5.1.xx-bin.jar'); %xx depends on version, download available at http://dev.mysql.com/downloads/connector/j/
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conn = database(dbname, username, password, driver, dburl);
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sql = ['SELECT * from table_name where id = 22'] % Example sql statement
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a = fetch(conn, sql) %a will contain your data
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% Common math functions
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sin(x)
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cos(x)
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tan(x)
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asin(x)
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acos(x)
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atan(x)
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exp(x)
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sqrt(x)
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log(x)
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log10(x)
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abs(x) %If x is complex, returns magnitude
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min(x)
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max(x)
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ceil(x)
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floor(x)
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round(x)
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rem(x)
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rand % Uniformly distributed pseudorandom numbers
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randi % Uniformly distributed pseudorandom integers
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randn % Normally distributed pseudorandom numbers
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%Complex math operations
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abs(x) % Magnitude of complex variable x
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phase(x) % Phase (or angle) of complex variable x
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real(x) % Returns the real part of x (i.e returns a if x = a +jb)
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imag(x) % Returns the imaginary part of x (i.e returns b if x = a+jb)
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conj(x) % Returns the complex conjugate
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% Common constants
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pi
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NaN
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inf
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% Solving matrix equations (if no solution, returns a least squares solution)
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% The \ and / operators are equivalent to the functions mldivide and mrdivide
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x=A\b % Solves Ax=b. Faster and more numerically accurate than using inv(A)*b.
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x=b/A % Solves xA=b
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inv(A) % calculate the inverse matrix
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pinv(A) % calculate the pseudo-inverse
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% Common matrix functions
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zeros(m,n) % m x n matrix of 0's
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ones(m,n) % m x n matrix of 1's
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diag(A) % Extracts the diagonal elements of a matrix A
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diag(x) % Construct a matrix with diagonal elements listed in x, and zeroes elsewhere
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eye(m,n) % Identity matrix
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linspace(x1, x2, n) % Return n equally spaced points, with min x1 and max x2
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inv(A) % Inverse of matrix A
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det(A) % Determinant of A
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eig(A) % Eigenvalues and eigenvectors of A
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trace(A) % Trace of matrix - equivalent to sum(diag(A))
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isempty(A) % Tests if array is empty
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all(A) % Tests if all elements are nonzero or true
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any(A) % Tests if any elements are nonzero or true
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isequal(A, B) % Tests equality of two arrays
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numel(A) % Number of elements in matrix
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triu(x) % Returns the upper triangular part of x
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tril(x) % Returns the lower triangular part of x
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cross(A,B) % Returns the cross product of the vectors A and B
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dot(A,B) % Returns scalar product of two vectors (must have the same length)
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transpose(A) % Returns the transpose of A
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fliplr(A) % Flip matrix left to right
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flipud(A) % Flip matrix up to down
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% Matrix Factorisations
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[L, U, P] = lu(A) % LU decomposition: PA = LU,L is lower triangular, U is upper triangular, P is permutation matrix
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[P, D] = eig(A) % eigen-decomposition: AP = PD, P's columns are eigenvectors and D's diagonals are eigenvalues
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[U,S,V] = svd(X) % SVD: XV = US, U and V are unitary matrices, S has non-negative diagonal elements in decreasing order
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% Common vector functions
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max % largest component
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min % smallest component
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length % length of a vector
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sort % sort in ascending order
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sum % sum of elements
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prod % product of elements
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mode % modal value
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median % median value
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mean % mean value
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std % standard deviation
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perms(x) % list all permutations of elements of x
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find(x) % Finds all non-zero elements of x and returns their indexes, can use comparison operators,
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% i.e. find( x == 3 ) returns indexes of elements that are equal to 3
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% i.e. find( x >= 3 ) returns indexes of elements greater than or equal to 3
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% Classes
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% Matlab can support object-oriented programming.
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% Classes must be put in a file of the class name with a .m extension.
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% To begin, we create a simple class to store GPS waypoints.
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% Begin WaypointClass.m
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classdef WaypointClass % The class name.
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properties % The properties of the class behave like Structures
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latitude
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longitude
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end
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methods
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% This method that has the same name of the class is the constructor.
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function obj = WaypointClass(lat, lon)
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obj.latitude = lat;
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obj.longitude = lon;
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end
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% Other functions that use the Waypoint object
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function r = multiplyLatBy(obj, n)
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r = n*[obj.latitude];
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end
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% If we want to add two Waypoint objects together without calling
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% a special function we can overload Matlab's arithmetic like so:
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function r = plus(o1,o2)
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r = WaypointClass([o1.latitude] +[o2.latitude], ...
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[o1.longitude]+[o2.longitude]);
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end
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end
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end
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% End WaypointClass.m
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% We can create an object of the class using the constructor
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a = WaypointClass(45.0, 45.0)
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% Class properties behave exactly like Matlab Structures.
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a.latitude = 70.0
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a.longitude = 25.0
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% Methods can be called in the same way as functions
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ans = multiplyLatBy(a,3)
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% The method can also be called using dot notation. In this case, the object
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% does not need to be passed to the method.
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ans = a.multiplyLatBy(1/3)
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% Matlab functions can be overloaded to handle objects.
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% In the method above, we have overloaded how Matlab handles
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% the addition of two Waypoint objects.
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b = WaypointClass(15.0, 32.0)
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c = a + b
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```
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## More on Matlab
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* [The official website](http://www.mathworks.com/products/matlab/)
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* [The official MATLAB Answers forum](http://www.mathworks.com/matlabcentral/answers/)
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* [Loren on the Art of MATLAB](http://blogs.mathworks.com/loren/)
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* [Cleve's Corner](http://blogs.mathworks.com/cleve/)
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