Introduction to Programming for Mechanical Engineers ME 319

Introduction to Programming for Mechanical Engineers (ME 319) Lecture 2

Quote of the day “He who has overcome his fears will truly be free. ” - Aristotle (384 BC – 322 BC)

Quick review of Lecture 1 1. Work on the Command window by creating variables and performing simple mathematical expressions. 2. Assign proper variables and files names. 3. Assigning a value to a variable. 4. Writing your commands inside a script file. 5. Properly comment words or any other text. 6. Run the script file.

Order of Precedence � A scalar variable is a variable that contains a single number. (1× 1 matrix) � MATLAB uses the symbols + - * / ^ for addition, subtraction, multiplication, right division and exponentiation respectively. � is used for left division in which denominator comes first. Example: 27 = 7/2 = 3. 5

Scalar arithmetic operations

Creating Arrays and vectors Command Syntax Description The simplest way to create simple vectors, not convenient for complex vectors Where xi = the initial element in the array. xf = the destination element in the array. d = the step size (Default value=1) xi could be bigger than x f, but d should be –ve in this case Where xi = the initial element in the array. xf = the destination element in the array. n = the number of elements in between If n is not provided, the default value is 100 Example line = [1 3 5] line = 1 3 5 line = 1: 0. 4: 5 line = Columns 1 through 9 1. 00 1. 40 1. 80 2. 20 2. 60 3. 00 3. 40 3. 8 4. 20 Columns 10 through 11 4. 60 5. 00 line = linspace (1, 5, 11) line = Columns 1 through 9 1. 00 1. 40 1. 80 2. 20 2. 60 3. 40 3. 80 4. 20 Columns 10 through 11 4. 6000 5. 0000 3. 00

Creating Arrays and vectors (contd. . ) Creates zeros matrix of dimensions i x j zr = zeros(2, 2) zr = 0 0 Creates ones matrix of dimensions k x l on = ones(2, 3) on = 1 1 Creates an identity matrix of dimensions m x m idn = eye(2) idn = 1 0 0 1 1 1

Creating Arrays and vectors 1. All variables in MATLAB are arrays. A scalar variable is an array of single element. 2. The array variable is defined by the input when it is assigned. Therefore there is no need to define the size of an array, since it will take the size of the input automatically. 3. You can still perform any operation on any array to change its name, contents, dimensions, or type. 4. You can fill in an array with scalar values, predefined variables, or expressions.

Examples >> A = 5; B = power (A, 3); % define two variables A and B >> C = [A, 27, sqrt (B), B - A^2] C= 5. 0000 27. 0000 11. 1803 100. 0000 % define an array C of 4 elements >> C(4) = 99 C= 5. 0000 27. 0000 11. 1803 99. 0000 >> C(6) = 4 % assign a different value for element 4 C= 5. 0000 27. 0000 11. 1803 99. 0000 >> C (2: 5) ans = 27. 0000 11. 1803 99. 0000 >> C (1: 2: 5) ans = 5. 0000 11. 1803 % add two elements to the existing C array, the 5 th is zero by default 0 4. 0000 % chose elements 2, 3, 4 and 5 0 % chose elements 1, 3 and 5 0

Creating Arrays and vectors (Examples continued) >> D = [linspace(A, B, 5); 100: -20: 20; 1 2 3 4 5] % define a matrix D of 5 elements between A and B % and another 5 elements between 100 and 20 D= % and another 5 elements 1 2 3 4 5 5 35 65 95 125 100 80 60 40 20 1 2 3 4 5 >> E = [D(2: 3, 2: 4)] % define E that is a submatrix of D E= 80 60 40 2 3 4 >> F = [C(1: 3); E(1, : )] % define matrix F that’s a combination of the 1 st three elements of C F= % as its 1 st row, and the complete 1 st row of E as its 2 nd row 5. 0000 27. 0000 11. 1803 80. 0000 60. 0000 40. 0000 >> F(2, 2) = F(2, 1) - F(2, 3) + 10*E(2, 3) F= 5. 0000 27. 0000 11. 1803 80. 0000 40. 0000 % change element (2, 2) of matrix F using the expression to the right

Creating Arrays and vectors (Examples continued) >> G = F‘ G= 5. 0000 80. 0000 27. 0000 80. 0000 11. 1803 40. 0000 % define matrix G as the transpose of F >> G (1, : ) % Choose the 1 st row in matrix G ans = 5 80 >> H = G(1: 2, : ) % define matrix H as the complete 1 st two rows of G H= 5 80 27 80 >> I = inv (H) % define matrix I as the inverse of H I= -0. 0455 0. 0153 -0. 0028 >> J = eig (I) J= -0. 0581 0. 0098 % define matrix J as the eigen values of the square matrix I

Creating Arrays and vectors Examples (continue): >> J (: , 2: 3) = [1 2; 3 4] % add complete 2 nd and 3 rd columns to the existing matrix J J= -0. 0581 1. 0000 2. 0000 0. 0098 3. 0000 4. 0000 >> K = [J F] % define matrix K as the combination of J and F K= % setting next to each others -0. 0581 1. 0000 2. 0000 5. 0000 27. 0000 11. 1803 0. 0098 3. 0000 4. 0000 80. 0000 40. 0000 >> L = [F ; J] % define matrix L as the combination of J and F L= % setting over each others 5. 0000 27. 0000 11. 1803 80. 0000 40. 0000 -0. 0581 1. 0000 2. 0000 0. 0098 3. 0000 4. 0000 >> L (1: 3, : ) = [ ] % delete the complete 1 st three rows of L by replacing the L= % rows with the empty matrix notation [ ] 0. 0098 3. 0000 4. 0000 >> L (1) = [ ] % delete the 1 st element of L by replacing its content with L= % the empty matrix notation [ ] 3 4

Built-in functions for handling arrays Examples (continue): >> length_J = length (J) % check the maximum number of elements in a row or a column length_J = 3 >> [row_J , column_J] = size (J)% return the size of J row_J = 2 column_J = 3 >>M = rand (3) % create a random matrix M of dimensions 3 x 3 M= 0. 9218 0. 4057 0. 4103 >> O = [6 -12 20] 0. 7382 0. 9355 0. 8936 O= 0. 1763 0. 9169 0. 0579 >> N = diag(M) N= 6 -12 % create a vector of diagonal elements in M 20 >> P = diag (O) % create a matrix of diagonal P= % elements in O 0. 9218 6 0. 9355 0 -12 0. 0579 0 0 0 20

Creating Strings and Strings as variables Examples (continue): SYNTAX: >> student_name = 'Robert Smith' student_name = Robert Smith >> student_name (8) ans = S SYNTAX: >> student_info = char ('student info=’ , student_name , ‘Grade’, 'B+') student_info = student name Robert Smith Grade B+

Thank you for the attention Any Questions and Suggestions please…