MATLAB Basics - PowerPoint PPT Presentation

1 / 50
About This Presentation
Title:

MATLAB Basics

Description:

MATLAB Basics With a brief review of linear algebra by Lanyi Xu modified by D.G.E. Robertson 1. Introduction to vectors and matrices MATLAB= MATrix LABoratory What is ... – PowerPoint PPT presentation

Number of Views:348
Avg rating:3.0/5.0
Slides: 51
Provided by: Lany152
Category:

less

Transcript and Presenter's Notes

Title: MATLAB Basics


1
MATLAB Basics
  • With a brief review of linear algebra
  • by Lanyi Xu
  • modified by D.G.E. Robertson

2
1. Introduction to vectors and matrices
  • MATLAB MATrix LABoratory
  • What is a Vector?
  • What is a Matrix?
  • Vector and Matrix in Matlab

3
What is a vector
  • A vector is an array of elements, arranged in
    column, e.g.,

X is a n-dimensional column vector.
4
  • In physical world, a vector is normally
    3-dimensional in 3-D space or 2-dimensional in a
    plane (2-D space), e.g.,

, or
5
  • If a vector has only one dimension, it becomes a
    scalar, e.g.,

6
Vector addition
  • Addition of two vectors is defined by

Vector subtraction is defined in a similar
manner. In both vector addition and subtraction,
x and y must have the same dimensions.
7
Scalar multiplication
  • A vector may be multiplied by a scalar, k,
    yielding

8
Vector transpose
  • The transpose of a vector is defined, such that,
    if x is the column vector

its transpose is the row vector
9
Inner product of vectors
  • The quantity xTy is referred as the inner product
    or dot product of x and y and yields a scalar
    value (or x y).

If xTy 0 x and y are said to be orthogonal.
10
  • In addition, xTx , the squared length of the
    vector x , is
  • The length or norm of vector x is denoted by

11
Outer product of vectors
  • The quantity of xyT is referred as the outer
    product and yields the matrix

12
  • Similarly, we can form the matrix xxT as

where xxT is called the scatter matrix of vector
x.
13
Matrix operations
  • A matrix is an m by n rectangular array of
    elements in m rows and n columns, and normally
    designated by a capital letter. The matrix A,
    consisting of m rows and n columns, is denoted as

14
Where aij is the element in the ith row and jth
column, for i1,2,?,m and j1,2,,n. If m2 and
n3, A is a 2?3 matrix
15
  • Note that vector may be thought of as a special
    case of matrix
  • a column vector may be thought of as a matrix of
    m rows and 1 column
  • a rows vector may be thought of as a matrix of 1
    row and n columns
  • A scalar may be thought of as a matrix of 1 row
    and 1 column.

16
Matrix addition
  • Matrix addition is defined only when the two
    matrices to be added are of identical dimensions,
    i.e., that have the same number of rows and
    columns.

e.g.,
17
  • For m3 and nn

18
Scalar multiplication
  • The matrix A may be multiplied by a scalar k.
    Such multiplication is denoted by kA where

i.e., when a scalar multiplies a matrix, it
multiplies each of the elements of the matrix,
e.g.,
19
  • For 3?2 matrix A,

20
Matrix multiplication
  • The product of two matrices, AB, read A times B,
    in that order, is defined by the matrix

21
The product AB is defined only when A and B are
comfortable, that is, the number of columns is
equal to the number of rows in B. Where A is m?p
and B is p?n, the product matrix cij has m rows
and n columns, i.e.,
22
For example, if A is a 2?3 matrix and B is a 3?2
matrix, then AB yields a 2?2 matrix, i.e.,
In general,
23
For example, if
and
, then
24
and
Obviously,
.
25
Vector-matrix Product
  • If a vector x and a matrix A are conformable, the
    product yAx is defined such that

26
For example, if A is as before and x is as follow,
, then
27
Transpose of a matrix
  • The transpose of a matrix is obtained by
    interchanging its rows and columns, e.g., if

Or, in general, Aaij, ATaji.
then
28
Thus, an m?n matrix has an n?m transpose. For
matrices A and B, of appropriate dimension, it
can be shown that
29
Inverse of a matrix
  • In considering the inverse of a matrix, we must
    restrict our discussion to square matrices. If A
    is a square matrix, its inverse is denoted by A-1
    such that

where I is an identity matrix.
30
An identity matrix is a square matrix with 1
located in each position of the main diagonal of
the matrix and 0s elsewhere, i.e.,
31
It can be shown that
32
MATLAB basic operations
  • MATLAB is based on matrix/vector mathematics
  • Entering matrices
  • Enter an explicit list of elements
  • Load matrices from external data files
  • Generate matrices using built-in functions
  • Create vectors with the colon () operator

33
gtgt x1 2 3 4 5 gtgt A 16 3 2 13 5 10 11 8 9
6 7 12 4 15 14 1 A 16 3 2 13
5 10 11 8 9 6 7 12
4 15 14 1 gtgt
34
(No Transcript)
35
(No Transcript)
36
Generate matrices using built-in functions
  • Functions such as zeros(), ones(), eye(),
    magic(), etc.

gtgt Azeros(3) A 0 0 0 0 0
0 0 0 0 gtgt Bones(3,2) B 1
1 1 1 1 1
37
gtgt Ieye(4) (i.e., identity matrix) I 1 0
0 0 0 1 0 0 0 0 1
0 0 0 0 1 gtgt Amagic(4) (i.e.,
magic square) A 16 2 3 13 5
11 10 8 9 7 6 12 4 14
15 1 gtgt
38
Generate Vectors with Colon () Operator
The colon operator uses the following rules to
create regularly spaced vectors jk is the
same as j,j1,...,k jk is empty if j gt
k jik is the same as j,ji,j2i, ...,k jik
is empty if i gt 0 and j gt k or if i lt 0 and j lt
k where i, j, and k are all scalars.
39
Examples
gtgt c05 c 0 1 2 3 4
5 gtgt b00.21 b 0 0.2000 0.4000
0.6000 0.8000 1.0000 gtgt d8-13 d 8
7 6 5 4 3 gtgt e82 e
Empty matrix 1-by-0
40
Basic Permutation of Matrix in MATLAB
  • sum, transpose, and diag
  • Summation
  • We can use sum() function.
  • Examples,

gtgt Xones(1,5) X 1 1 1 1
1 gtgt sum(X) ans 5 gtgt
41
gtgt Amagic(4) A 16 2 3 13 5
11 10 8 9 7 6 12 4
14 15 1 gtgt sum(A) ans 34 34
34 34 gtgt
42
Transpose
gtgt Amagic(4) A 16 2 3 13
5 11 10 8 9 7 6 12
4 14 15 1 gtgt A' ans 16 5
9 4 2 11 7 14 3 10
6 15 13 8 12 1 gtgt
43
Expressions of MATLAB
  • Operators
  • Functions

44
Operators
Addition-Subtraction Multiplication / Division
\ Left division Power ' Complex conjugate
transpose ( ) Specify evaluation order
45
Functions
MATLAB provides a large number of standard
elementary mathematical functions, including
abs, sqrt, exp, and sin.
Useful constants
pi 3.14159265... i Imaginary unit (
) j Same as i
46
gtgt rho(1sqrt(5))/2 rho 1.6180 gtgt
aabs(34i) a 5 gtgt
47
Basic Plotting Functions plot( )
The plot function has different forms, depending
on the input arguments. If y is a vector,
plot(y) produces a piecewise linear graph of
the elements of y versus the index of the
elements of y. If you specify two vectors as
arguments, plot(x,y) produces a graph of y versus
x.
48
Example, x 0pi/1002pi y sin(x) plot(x,y)
49
Multiple Data Sets in One Graph
x 0pi/1002pi y sin(x) y2
sin(x-.25) y3 sin(x-.5) plot(x,y,x,y2,x,y3)
50
Distance between a Line and a Point
  • given line defined by points a and b find the
    perpendicular distance (d) to point c
  • d
  • norm(cross((b-a),(c-a)))/norm(b-a)
Write a Comment
User Comments (0)
About PowerShow.com