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  1. This example shows basic techniques and functions for working with matrices in the MATLAB® language. First, let's create a simple vector with 9 elements called a. 1 2 3 4 6 4 3 4 5. Now let's add 2 to each element of our vector, a, and store the result in a new vector.

  2. The colon is one of the most useful operators in MATLAB ®. It can create vectors, subscript arrays, and specify for iterations. x = j:k creates a unit-spaced vector x with elements [j,j+1,j+2,...,j+m] where m = fix(k-j). If j and k are both integers, then this is simply [j,j+1,...,k]. example.

  3. MATLAB ® is optimized for operations involving matrices and vectors. The process of revising loop-based, scalar-oriented code to use MATLAB matrix and vector operations is called vectorization. Vectorizing your code is worthwhile for several reasons:

  4. 30 Ιαν 2015 · A vector in MATLAB is defined as an array which has only one dimension with a size greater than one. For example, the array [1,2,3] counts as a vector. There are several operations you can perform with vectors which don't make a lot of sense with other arrays such as matrices.

  5. Vector (or Array) Operations. A "Vector" operation in Matlab is the ability to write condensed code to apply an action to every element of an array with a single line of code. We all know the basic operators in Math: +, -, *, /, etc. 5 + 5 produces 10;

  6. Use vector operations and functions to create the corresponding vector of y values. Plot with plot(x,y) and add style such as title, colors, line styles, legend, etc. For example, let’s use vectorization to plot y = x 2 on the interval [− 3, 3] using 601 points: x = -3:0.01:3; y = x.^2; plot(x,y)

  7. Matlab is a software package that makes it easier for you to enter matrices and vectors, and manipulate them. The interface follows a language that is designed to look a lot like the notation use in linear algebra. In the following tutorial, we will discuss some of the basics of working with vectors.

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