MATLAB: A Versatile Computer-Aided Engineering Software

Mathworks MATLAB is a programming environment with simulation and modelling capabilities. It combines the utilities of a desktop environment (designed for iterative analysis and design processes) with a programming language that is capable of directly expressing matrix and array mathematics. MATLAB is capable of creating models, analysing data and developing algorithms. You can also assess the way algorithms and user data work together in an interactive manner.

Mathworks Matlab R2019b 64bit $75
Mathworks Matlab R2019a 64bit $65
Mathworks Matlab R2018b 64bit $65
Mathworks Matlab R2018a 64bit $65
Mathworks Matlab R2017b $65
Mathworks Matlab R2017a $65
Mathworks Matlab R2016b $65
Mathworks Matlab R2016a $65


You don’t need to worry about rewriting or learning big-data programming with MATLAB, because the technology is scalable. So you can run an analysis on the cloud, GPUs and clusters by only making minor changes to the code.


MATLAB is an extremely impressive product that provides you with the following helpful features:

  • Deep learning solutions:
    • Visualisation and training
    • Scaling and acceleration
    • Object detection
    • Network architecture and algorithms
  • Computer vision and image processing abilities:
    • Tools for visualising and manipulating videos and images
    • Reference standard algorithm libraries
    • Designs can be transferred to embedded software
  • Digital signal processing capabilities
    • Real-time audio processing supported by low latency multichannel I/O
    • Simulation and integration of algorithms and electronic components at the system level
    • Code generation supports real-time prototyping and simulation acceleration
  • Finance and risk management capabilities
    • Enterprise implementation
    • Risk modelling
    • Risk aware development
  • Robotics and Autonomous Systems


Now that we understand what MATLAB is capable of, it’s important to look at how these features are useful and the utility that they are capable of providing you.

The capabilities of MATLAB can prove useful across various tasks and fields. Some of the tasks it can complete are: mathematics and computation, algorithm development, modelling, simulation, prototyping, data analysis and visualisation, scientific and engineering graphs and application development. Additionally, the product can also be used for various other processes such as image and video processing, tests and measurements, control systems, signal processing and communications and computational finance and biology.

The computational mathematics you can take advantage of with MATLAB includes the ability to carry out all sorts of processes, calculations, etc. Among these, the most common are typically considered to be linear algebra, matrices and arrays, algebraic equations, 2D/3D plotting and graphics, data analysis, statistics, non-linear functions, numerical calculations, calculus and differential equations, transforms and integrations.


MATLAB offers you an easy-to-use programming environment designed to accommodate your needs. There are many benefits for purchasing the software.

App development, numerical computation and visualisation is greatly facilitated by a high-level language i.e. MATLAB. There are also many tools for graphical user interfaces to build applications.

It is important to note that the basic data element for MATLAB is the matrix. It has several built-in operations in order to support matrices and arrays. You will also note that vector mathematics is quite convenient; a single command can quickly and easily add two arrays together.

This software also provides you with great interactivity, enabling you to devise creative solutions for your problems. The advantage of this interactivity is that plotting data and editing it becomes very easy. You can plot out your data and then use the graphical tools to adjust colours, sizes, scales, etc.

Additionally, for financial organisations, MATLAB is capable of implementing quality-assured reliable methods for replicable risk and stress testing models. The tools for that are easily accessible, so models can be created in a short amount of time, which is extremely helpful considering that the business is prone to rapid changes.