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1. Why choose Matlab ?

Matlab boolean

MATLAB Boolean operators are used to return logical values (True for 1 and False for 0) in case we want to check if a condition is met or not. Boolean operators are very useful in codes where we need to execute code lines based on certain conditions.

For example, we can compare 2 numbers using logical operators and get True in the output if the numbers are equal else False.

Syntax:

Logical AND (&), OR (|), NOT (~) are some of the commonly used Boolean operators.

How to use Matlab boolean with Examples?

Let us now understand how to use logical or Boolean operators in MATLAB. We will discuss 2 scenarios:

  1. The use of Boolean operators in arrays
  2. The use of Boolean operators in circuits

Example 1:

In this example, we will use an ‘&’ operator between 2 matrices. An ‘&’ operator will give ‘1’ as the output if the corresponding elements in both the matrices are non-zero, else it will give ‘0’ as the output. The steps to be followed for this example are:

  1. Initialize the input matrices
  2. Use the ‘&’ operator between the matrices

Code:

A = [5 4 1; 5 2 0; 1 0 1] [Initializing the 1st matrix] B = [0 1 1; 0 0 0; 1 9 3] [Initializing the 2nd matrix] A & B
[Using the Boolean operator ‘&’ between the matrices. The output will be a matrix of 0s and 1s]

This is how our input and output will look like in MATLAB:

Input:

A = [5 4 1; 5 2 0; 1 0 1] B = [0 1 1; 0 0 0; 1 9 3] A & B
Matlab boolean output 1

Output:

Matlab boolean output 2

As we can see in the output, the Boolean operator ‘&’ gives ‘1’ as the output if the corresponding elements in both the matrices are non-zero, else it gives ‘0’ as the output

Next, we will see the use of the ‘&’ operator in the circuits

Example 2:

When used in circuits, the ‘&’ operator will give ‘1’ as the output if both the variables are non-zero, else it will give ‘0’ as the output. The steps to be followed for this example are:

  1. Initialize the input variables
  2. Use the if-else loop along with the Boolean ‘&’ operator

Code:

a = 10
[Initializing the 1st variable] b = 20
[Initializing the 2nd variable] c = 0
[Initializing the 3rd variable] if (a && b)
disp(‘Both the numbers are non-zero’);
else
disp(‘Both the numbers are not non-zero’);
end
[This loop with Boolean ‘&’ operator will check if both the variables are non-zero; In this example we have taken both ‘a’ and ‘b’ as non-zero] if (a && c)
disp(‘Both the numbers are non-zero’);
else
disp(‘Both the numbers are not non-zero’);
end
[This loop will check if both the variables ‘a’ and ‘c’ are non-zero]

This is how our input and output will look like in MATLAB:

Input:

a = 10
b = 20
c = 0
if (a && b)
disp('Both the numbers are non-zero');
else
disp('Both the numbers are not non-zero');
end
if (a && c)
disp('Both the numbers are non-zero');
else
disp('Both the numbers are not non-zero');
end
Matlab boolean output 3

Output:

output 4
  • In the 1st loop, both the variables ‘a’ and ‘b’ are non-zero, so the output after using Boolean ‘&’ operator is “Both the numbers are non-zero”
  • In the 2nd loop, the variables ‘a’ is non-zero, whereas the variable ‘c’ is zero, so the output after using Boolean ‘&’ operator is “Both the numbers are not non-zero”

Example 3:

In this example, we will use an ‘|’ (OR) operator between 2 matrices. An ‘|’ operator will give ‘1’ as the output if any one of the corresponding elements in the matrices is non-zero, else it will give ‘0’ as the output. The steps to be followed for this example are:

  1. Initialize the input matrices
  2. Use the ‘|’ operator between the matrices

Code:

<!-- wp:paragraph -->
<p><code>A = [2 4 6; 2 2 0; 3 0 7] [Initializing the 1<sup>st</sup>&nbsp;matrix] B = [0 4 1; 1 0 0; 2 0 3] [Initializing the 2<sup>nd</sup>&nbsp;matrix] A | B<br>[Using the Boolean operator ‘|’ between the matrices. The output will be a matrix of 0s and 1s]</code></p>
<!-- /wp:paragraph -->

<!-- wp:paragraph -->
<p>This is how our input and output will look like in MATLAB:</p>
<!-- /wp:paragraph -->

Input:

A = [2 4 6; 2 2 0; 3 0 7] B = [0 4 1; 1 0 0; 2 0 3] A | B
Matlab boolean output 5

Output:

output 6

As we can see in the output, the Boolean operator ‘|’ gives ‘1’ as the output if any one of the corresponding elements in the matrices is non-zero, else it gives ‘0’ as the output.

Next, we will see the use of the ‘|’ operator in the circuits

Example 4:

When used in circuits, the ‘|’ operator will give ‘1’ as the output if any one of the variables is non-zero, else it will give ‘0’ as the output. The steps to be followed for this example are:

  1. Initialize the input variables
  2. Use the if else loop along with the Boolean ‘|’ operator

Code:

a = 0
[Initializing the 1st variable] b = 10
[Initializing the 2nd variable] c = 0
[Initializing the 3rd variable] d = 0
[Initializing the 4th variable] if (a || b)
disp(‘At least one of the numbers is non-zero’);
else
disp(‘Both the numbers are zero’);
end
[This loop with Boolean ‘|’ operator will check if any one of the variables is non-zero; In this example we have taken ‘a’ as zero and ‘b’ as non-zero] if (c || d)
disp(‘At least one of the numbers is non-zero’);
else
disp(‘Both the numbers are zero’);
end
[This loop will check if one of the variables ‘c’ and ‘d’ is non-zero]

This is how our input and output will look like in MATLAB:

Input:

a = 0
b = 10
c = 0
d = 0
if (a || b)
disp('At least one of the numbers is non-zero');
else
disp('Both the numbers are zero');
end
if (c || d)
disp('At least one of the numbers is non-zero');
else
disp('Both the numbers are zero');
end
output 7

Output:

output 8
  • In the 1st loop, the variable ‘a’ is 0 and ‘b’ is non-zero, so the output after using Boolean ‘|’ operator is “At least one of the numbers is non-zero”
  • In the 2nd loop, both the variables ‘c’ and ‘d’ are zero, so the output after using Boolean ‘|’ operator is “Both the numbers are zero”
Categories
1. Why choose Matlab ?

You can trust the results you get in MATLAB.

Engineers and scientists trust MATLAB to send a spacecraft to Pluto, match transplant patients with organ donors, or just compile a report for management. This trust is built on impeccable numerics stemming from the strong roots of MATLAB in the numerical analysis research community.

A team of MathWorks engineers continuously verifies quality by running millions of tests on the MATLAB code base every day.

Categories
1. Why choose Matlab ?

MATLAB apps let you complete tasks more easily than with custom programming.

MATLAB apps let you start working right away. These interactive applications combine direct access to large collections of algorithms with immediate visual feedback. You can try a new surface fitting algorithm, filter design technique, or machine learning classification algorithm and see right away how it works with your data. Iterate until you’ve got the results you want, then automatically generate a MATLAB program to reproduce or automate your work.

Model comparison and assessment with the Classification Learner app.
Categories
1. Why choose Matlab ?

Engineers and scientists deserve tools that fit the way they work.

Everything about MATLAB is designed specifically for engineers and scientists:

  • Function names and signatures are familiar and memorable, making them as easy to write as they are to read.
  • The matrix-based MATLAB language lets you express math directly. Linear algebra in MATLAB is intuitive and concise. The same is true for data analytics, signal and image processing, control design, and other applications.
  • New function interfaces undergo a rigorous design process that typically involves dozens to hundreds of developer-hours per function.
  • The desktop environment is tuned for iterative engineering and scientific workflows.
  • Integrated tools support simultaneous exploration of data and programs, letting you explore more ideas in less time.
  • Documentation is written for engineers and scientists, not computer scientists.

This is why more than 1,800 textbooks teach engineering and science using MATLAB

Categories
1. Why choose Matlab ?

Data Visualization and interactive applications an Matlab

MATLAB has great built-in plotting capabilities. An app in MATLAB is a program with a user interface that automates a task or calculation.

Some of the interactive app categories:

  • Math, statistics, and optimization
  • Computational finance
  • Code generation
  • Image processing and computer vision
  • Control system design and analysis
Categories
1. Why choose Matlab ?

Proven MATLAB toolboxes provide the functions and capabilities you need.

A programming language must be combined with specialized tools that support what you need to do, whether you’re modeling economic data, analyzing an image sequence, or driving a robot. Those tools need to work, and they need to work together.

MATLAB toolboxes offer professionally developed, rigorously tested, field-hardened, and fully documented functionality for scientific and engineering applications. Toolboxes are designed to work with each other, and they integrate with parallel computing environments, GPUs, and automatic C code generation. They are updated together, so you never struggle with incompatible library versions.

Categories
1. Why choose Matlab ?

MATLAB helps automate the entire path – from research to production.

Major engineering and scientific challenges require broad coordination across teams to take ideas to implementation. Every handoff along the way risks adding errors and delays.

MATLAB can help teams through their entire workflow:

  • Use MATLAB with over 1,000 common hardware devices from more than 130 hardware vendors.
  • Integrate MATLAB into your production analytics applications.
  • Integrate with code written in other languages, like C, C++, Java, .NET and Python
  • Run algorithms faster and with big data by scaling up to clusters, the cloud, and GPUs with only minimal code changes.
  • Plug into Simulink and Stateflow for simulation and Model-Based Design.
  • Automatically convert MATLAB code to embeddable C, CUDA, and HDL code.