MATLAB Vectors

Vectors are fundamental data structures in MATLAB, representing one-dimensional arrays of numbers. They form the backbone of many mathematical and scientific computations.

Creating Vectors

In MATLAB, you can create vectors using several methods:

1. Square Brackets

The most common way to create a vector is by using square brackets:

row_vector = [1 2 3 4 5];
column_vector = [1; 2; 3; 4; 5];

2. Colon Operator

For creating evenly spaced vectors, use the colon operator:

vector = 1:5;  % Creates [1 2 3 4 5]
vector = 1:0.5:3;  % Creates [1 1.5 2 2.5 3]

3. Built-in Functions

MATLAB offers functions for creating specific types of vectors:

zeros_vector = zeros(1, 5);  % Creates [0 0 0 0 0]
ones_vector = ones(1, 5);  % Creates [1 1 1 1 1]
random_vector = rand(1, 5);  % Creates a vector of 5 random numbers

Vector Operations

MATLAB provides powerful operations for working with vectors:

Element-wise Operations

Perform operations on each element of a vector:

a = [1 2 3];
b = [4 5 6];
sum = a + b;  % Results in [5 7 9]
product = a .* b;  % Results in [4 10 18]

Vector Functions

Apply mathematical functions to entire vectors:

v = [1 4 9 16];
sqrt_v = sqrt(v);  % Results in [1 2 3 4]

Indexing and Slicing

Access and modify vector elements using indexing:

v = [10 20 30 40 50];
third_element = v(3);  % Gets 30
v(2:4) = [25 35 45];  % Changes v to [10 25 35 45 50]

Vector Properties

Useful functions for working with vectors:

• length(v): Returns the number of elements in v
• sum(v): Calculates the sum of all elements in v
• mean(v): Computes the average of v's elements
• max(v) and min(v): Find the maximum and minimum values in v

Best Practices

• Use vectorized operations when possible for improved performance
• Preallocate vectors for large datasets to enhance efficiency
• Utilize MATLAB Built-in Functions for vector manipulations
• Combine vectors with MATLAB Matrices for more complex data structures

Understanding vectors is crucial for effective MATLAB programming. They serve as building blocks for more complex MATLAB Data Types and are essential in various mathematical and scientific computations.