Matlab: Basics of Matrix and Linear Algebra

Matlab: Basics of Matrix and Linear Algebra

In Matlab, matrix is ​​a very important data structure. Proficiency in the basic operations of matrices and the basic concepts of linear algebra can enable us to perform scientific calculations more efficiently.

Below we use several examples to demonstrate how to use matrices for basic operations in Matlab:

1. Create a matrix
In Matlab, we can create a matrix using the following statement:

A = [1 2 3; 4 5 6; 7 8 9]

Here we create a matrix A of size 3x3 and assign values ​​to it. In Matlab, use a semicolon ";" to separate the elements of a row, which means different rows of the matrix.

2. Addition and subtraction of matrices
In Matlab, the addition and subtraction of matrices is very convenient, just use the "+" or "-" symbols. For example, we can do this:

B = [2 2 2; 2 2 2; 2 2 2]
C = A + B
D = A - B

Here we created a 3x3 matrix B of all 1s, and calculated C and D using matrix addition and subtraction, respectively. After running, you can see that each element of C is 1 more than the element at the corresponding position of A, and each element of D is 1 less than the element at the corresponding position of A.

3. Multiplication of matrices
In Matlab, the multiplication of matrices is indicated by the "*" symbol. It should be noted that when performing matrix multiplication, the dimensions of the matrix must meet certain conditions. For example, if we want to calculate AB, then the number of columns of matrix A must be equal to the number of rows of matrix B. Below is an example:

E = [1 0 1; 0 1 1; 1 1 0]
F = [2 2 2; 2 2 2; 2 2 2]
G = E * F

Here we have created two matrices E and F of size 3x3 and calculated G using matrix multiplication. run

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Origin blog.csdn.net/Jack_user/article/details/131971567