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Matrix definitions:
As we know the matrix can be thought of as a table of values in which there are both rows and columns. The most common form of a matrix A (that is sometimes written as [A]) is shown below:
This matrix has m rows and n columns; therefore the size is m × n.
A vector is a special case of a matrix, in which one of the dimensions (either the m or n) is 1. The row vector is a 1 × n matrix. The column vector is an m × 1 matrix. The scalar is a special case of matrix in which both the m and n are 1; therefore it is a single value or a 1 ×1 matrix.
Vector operations: As vectors are special cases of matrices, the matrix operations elaborated (addition, subtraction, multiplication, scalar multiplication, transpose) work on
Illustration of anonymous functions: Dissimilar functions stored in the M-files, when no argument is passed to an anonymous function, the parentheses should still be in the fu
Modular programs: In a modular program, the answer is broken down into modules, and each is executed as a function. The script is usually known as the main program. In orde
calcrectarea subfunction: function call: area = calcrectarea(len,wid); function header: function area = calcrectarea(len, wid) In the function call, the two arg
1. Write a MATLAB function (upperTriangle) using the functions you previously created to convert a matrix to upper triangular form. Start with row 1, column1. Find the row that has
Example of Exponential function modular program: In order to view the distinction in the approximate value for e as n increases, the user kept choosing Limit & entering larger
Function issorted - set operations: The function issorted will return 1 for logical true when the argument is sorted in ascending order (minimum to maximum), or 0 for false wh
Illustration of if - else statement: The one application of an if-else statement is to check for errors in the inputs to a script. For illustration, a former script prompted t
Illustration of Gauss elimination: For illustration, for a 2 × 2 system, an augmented matrix be: Then, the EROs is applied to obtain the augmented matrix into an upper
Cross Product: The cross or outer product a × b of two vectors a and b is defined only whenever both a and b are the vectors in three-dimensional space, that means that they b
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