1 / 41

Computer Programming (ECGD2102 ) Using MATLAB

Computer Programming (ECGD2102 ) Using MATLAB. Lecture (2): MATLAB Environment (Chapter 1). Instructor: Eng. Eman Al.Swaity. Objectives. CHAPTER (1):MATLAB Environment Perform simple calculations with MATLAB. Observe the display formats available and select specific formats.

wyoming-reeves
Download Presentation

Computer Programming (ECGD2102 ) Using MATLAB

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Computer Programming(ECGD2102 ) Using MATLAB Lecture (2): MATLAB Environment (Chapter 1) Instructor: Eng. Eman Al.Swaity

  2. Objectives • CHAPTER (1):MATLAB Environment • Perform simple calculations with MATLAB. • Observe the display formats available and select specific formats. • List the predefined MATLAB variables. • Perform arithmetic calculations. • Introduce simple matrix operations.

  3. 1.1 MATLAB as a Calculator • MATLAB performs simple calculations as if it were a calculator. • The basic arithmetic operators are + - * / ^ and these are used in conjunction with brackets: (parentheses ). • The symbol^ is used to get exponents (powers): 2^4=16. You should type in commands shown following the prompt: >> (in command window). • For example, type 5+3 and press the ENTER key: • » 5+3 • ans = • 8

  4. 1.1 MATLAB as a Calculator-cont • Another example • >> 2 + 3/4*5 • ans = • 5.7500 • >> • Is this calculation 2 + 3/(4*5) or 2 + (3/4)*5? • Matlab works according to the priorities (Operator precedence ): • 1. quantities in brackets, • 2. powers 2 + 3^2 )2 + 9 = 11, • 3. * /, working left to right (3*4/5=12/5), • 4. + -, working left to right (3+4-5=7-5), • Thus, the earlier calculation was for 2 + (3/4)*5 by priority 3.

  5. 1.1 MATLAB as a Calculator-cont • Another examples

  6. 1.1 MATLAB as a Calculator-cont • Another examples » 1+2-3*4/5 ans = 0.6000 » -4/5*3+2+1 ans = 0.6000

  7. 1.2 Defining Variables • Variables are named locations in memory where numbers, strings and other elements of data may be stored while the program is working. • Variable names are combinations of letters , digits, and • the underscore character, but must start with a latter • (These are allowable: NetCost, Left2Pay, x3, X3, z25c) • We define variables by typing a variable name followed by the equals sign and then a value or a mathematical expression. Example: » A5=6 • A5 = • 6

  8. 1.2 Defining Variables-cont Variable types: • Not all variables are created equal. • The most commonly used unit of computer storage is the byte, itself made of up 8 bits. • A byte represents an 8-bit binary number, i.e. it is an eight digit number in base 2 (as opposed to base 10 or decimal with which we are most familiar.)

  9. 1.2 Defining Variables-cont Variable types: • A byte can thus hold the equivalent of decimal integers 0 (000000002) through 255 (111111112). • To represent other forms of information than simply the integers 0-255, computers use different types of encoding and groups of bytes to represent e.g. letters, punctuation, and numbers of greater precision and magnitude.

  10. 1.2 Defining Variables-cont Variable types: • The byte arose as the fundamental unit because it is capable of representing all the most common numbers, letters (upper and lower case), punctuation, and special control characters commonly used in computer communication (things like <ENTER>, <ESC>, <BACKSPACE>, etc.). • The most common encoding for alpha-numerics is the American Standard Code for Information Interchange, or ASCII.

  11. 1.2 Defining Variables-cont • MATLAB does not require you to declare the names of variables in advance of their use. This is actually a common cause of error. • variable names are case sensitive • variable names start with a letter and can contain up to 31 characters which include letters, digits and underscore ( punctuation characters and math operators are not allowed)

  12. 1.2 Defining Variables-cont • To know what is stored in a variable type its name at the command prompt • Matlab has built in variable names. the following are some of the built in variables: (ans, pi, eps, flops, inf, NaN or nan, i , j, nargin, nargout, realmin, realmax). Avoid using built-in names.

  13. 1.2 Defining Variables-cont

  14. 1.2 Defining Variables-cont • Rules for Variable Names: Although variable names can be of any length, MATLAB uses only the first N characters of the name, (where N is the number returned by the function namelengthmax), and ignores the rest. >>N = namelengthmax N = 63

  15. 1.2 Defining Variables-cont • Rules for Variable Names-cont: Making Sure Variable Names Are Valid. • (Using:isvarname function). • Ex: >>isvarname 8thColumn • ans = • 0 • Matlab Variables Names Legal variable names: • • Should not be the name of a built-in variable, built-in function, or user-defined function • Examples: • xxxxxxxxx • pipeRadius • widgets_per_box • mySum • mysum

  16. 1.2 Defining Variables-cont Important commands: • clc => Clear the command window • clear or clear variables => clears all variables from the workspace. • Delete => Delete files . • quit => Terminates MATLAB • who, whos =>List a directory of variables currently in memory. Lists the current variables, their sizes, and whether they have nonzero imaginary parts. • Lookfor => search tool • Save =>command saves variables from the workspace to a named file • Load => recover Data

  17. 1.2 Defining Variables-cont Looking for Functions Syntax: lookfor string searches first line of function descriptions for “string”. Example: >> lookfor cosine produces ACOS Inverse cosine. ACOSH Inverse hyperbolic cosine. COS Cosine. COSH Hyperbolic cosine.

  18. 1.2 Defining Variables-cont Example: » a=5; » A=7.9; » a a = 5 » A A = 7.9000 » clc » who

  19. 1.3 Functions(Built-In Functions) • » Except for basic commands such as addition, subtraction, multiplication and division, most MATLAB commands are functions. Functions usually require an input argument (such as x above) and they return value. • Trigonometric Functions • Those known to Matlab are sin, cos, tan and their arguments should be in radians. e.g. to work out the coordinates of a point on a circle of • radius 5 centered at the origin and having an elevation 30o = pi/ 6 radians: • >> x = 5*cos(pi/6), y = 5*sin(pi/6) • x = • 4.3301 • y = • 2.5000

  20. 1.3 Functions(Built-In Functions) A) Trigonometric Functions-cont The inverse trig functions are called asin, acos, atan (as opposed to the usual arcsin or sin-1etc.). The result is in radians. >> acos(x/5), asin(y/5) ans = 0.5236 ans = 0.5236 >> pi/6 ans = 0.5236 B) Other Elementary Functions These include sqrt, exp, log, log10…..etc.

  21. 1.4 Display Formats Values are displayed with MATLAB i n several ways.

  22. 1.5 Saving the Variables Stored in Memory • Suppose a large number of variables are defined. • You need to quit using MATLAB f o r the moment, but you would like to use these variables in the future. • This can be done in two ways: • Use the MATLAB menus and use the File and Save Workspace As menu selections. • Or you can use the MATLABSAVE command.

  23. 1.5 Saving the Variables Stored in Memory Example: » a=l; » b=2; » c=3; » d=4; » e=5; » f=6; » g=7; » who » save Saving to: mat lab. mat %To see that we can restore the variables, let's clear the workspace:

  24. 1.5 Saving the Variables Stored in Memory Example-cont: » clear » who Your variables are: No variables are in memory. %Now let's use the LOAD command to load the default file, matlab.mat, and restore the variables: load Loading from: matlab.mat » who

  25. 1.5 Saving the Variables Stored in Memory Example-cont: %If you wish to save the variables in a file with a different name, you can use the LOAD and SAVE commands followed by a file name » save xyzzy %Let's clear the workspace and restore the variables using file xyzzy. » clear » who Your variables are: No variables are defined. %To load the variables saved in file xyzzy, use the LOAD command with the file name: » load xyzzy » who

  26. 1.5 Saving the Variables Stored in Memory Example-2: » a=5; » A=7.9; » a a = 5 » A A = 7.9000 » clc » who

  27. 1.5 Saving the Variables Stored in Memory Example-cont: » save A a (A: File name a: variable to be saved) » clear Now list the variables stored in memory: » who Your variables are: Now no variables are listed. »load A » who Your variables are: As X

  28. 1.7 Complex Numbers » Pure imaginary and complex numbers are expressed in MATLAB by the letters i or j. Both i and j are defined as . If we take the square root of -1, MATLAB displays a number containing the letter i. The MATLAB SQRT function calculates the square root of a number. » sqrt(-1) ans = 0 + 1. 0000i Imaginary part. Real part.

  29. 1.7 Complex Numbers MATLAB automatically handles calculations with complex numbers Examples: » (1+2i)/(3+Si) ans = 0.3824 + 0.0294i » a=3+4i; » b=l+i; » a*a ans = -7.0000 +24.0000i » a-b ans = 2.0000 + 3.0000i » a+b ans = 4.0000 + 5.0000i

  30. 1.7 Complex Numbers Unit Imaginary Numbers i and j are ordinary Matlab variables pre-assigned with the value √−1. >> i^2 ans = -1 Both or either i and j can be reassigned >> i = 5; >> t = 8; >> u = sqrt(i-t) (i-t = -3, not -8+i) u = 0 + 1.7321i >> u*u ans = -3.0000

  31. 1.7 Complex Numbers

  32. 1.7 Complex Numbers Functions for Complex Arithmetic Examples: Remember: There is no “degrees” mode in Matlab. All angles are in radians.

  33. 1.8 Matrices and Vectors • MATLAB can store several numerical values in a single variable. For most of the text, we'll refer to these variables as arrays. MATLAB however, treats these variables as either matrices or arrays. • In MATLAB the default uses matrix algebra rather than array operations. Array operations are defined as element-by-element operations. matrix algebra operators + addition - subtraction * multiplication / division ^ power ‘ complex conjugate transpose Array operators .* element-by-element multiplication ./ element-by-element divsion .^ element-by-element power .‘ transpose

  34. 1.8 Matrices and Vectors • In this section we will use the terms matrix and vector. A vector is a matrix with one row (a row vector) or one column (a column vector). Row Vectors • A row vector is an 1-by-n matrix so the number of rows is always one. The number of columns can be any integer value except one. Column Vectors • A column vector is an n-by-1 matrix so the number of columns is always one. The number of Rows can be any integer value except one.

  35. 1.8 Matrices and Vectors • Scalars • Any single element or numerical value. Or said other way, any vector or matrix that has one row and one column. (Its size is equal to 1,1.) • Square Matrices • Any matrix that has the number of rows equal to the number of columns (m = n). • In MATLAB matrices and vectors are created using square brackets [ ]. Rows are separated by the semicolon character (;).

  36. 1.8 Matrices and Vectors • Vectors (arrays) are defined as • >> v = [1, 2, 4, 5] • >> w = [1; 2; 4; 5] • Matrices (2D arrays) defined similarly • >> A = [1,2,3;4,-5,6;5,-6,7]

  37. 1.8 Matrices and Vectors 1.8.1 Matrix Multiplication Matrices are multiplied by using the * operator: Example: » c=A*B » d=5*A matrix by a scalar » c2=B*A

  38. 1.8 Matrices and Vectors 1.8.2 Matrix Addition and Subtraction Example: » q=A-B q= -8 - 6 -4 -2 0 2 4 6 8 1.8.3 The Inverse of a Matrix

  39. 1.8 Matrices and Vectors 1.8.4 The Determinant of a Matrix Example: » det(B) ans = 0 1.8.5 Solving Systems of Equations In matrix notation, we write this system of equations as Ax =b where

  40. 1.8 Matrices and Vectors 1.8.5 Solving Systems of Equations We now solve for x using A-1*b. » x=inv(A)*b x = 1.2921 -0.2141 -1.3206

  41. End of the Lecture Let Learning Continue

More Related