MATLAB‘s name comes from “matrix laboratory” and is known as a trademark when it comes to technical computing and scientific problem-solving. Providing a powerful high-level scripting language and a robust computing environment altogether, MATLAB is widely used by scientists and engineers in various domains, including machine learning, communications, control design and robotics, image or signal processing, and more.
MATLAB combines a desktop environment tuned for iterative analysis and design processes with a programming language that expresses matrix and array mathematics directly.
Previous softwares used programming languages that could code array and matrix mathematics directly, or they used a desktop layout created for analytics and design. MATLAB is the first software to combine those things. It makes organization, analysis, and data interpretation much easier for millions of engineers and scientists.
MATLAB‘s toolboxes have been developed by teams of professionals. They have undergone rigorous testing and documentation. The design interface is easy to navigate, and the organization helps to consolidate clouds of data into shapes that make sense.
MATLAB has accompanying apps that let you set algorithms to lose on your data. You can work with the numbers and the information until you’ve achieved the results you want. Then, using the app, you can generate a MATLAB program that can automate or reproduce your work.
You can scale your analyses to interpret completely different data with only minor coding changes. Having a basic programming language gives the program much more structure than other programs – no need to create new graphs from scratch with every new data analysis! Analyses can run on GPUs, clusters, and clouds without any code rewriting.
MATLAB‘s programming code is ready-made for production, so you can integrate it with your external data sources without needing to recode everything. This compatibility is especially good for people working on cloud and enterprise-based projects. MATLAB can even automatically convert its algorithms to run on embedded devices.
MATLAB partners with Simulink to support a Model-Based Design structure. This can be used in multidomain simulations, code generations, and embedded system verifications. Model-Based Design adds a whole new level to the integration potential of MATLAB analysis.
MATLAB Mathematics Software Features
- High-level language for scientific and engineering computing
- Desktop environment tuned for iterative exploration, design, and problem-solving
- Graphics for visualizing data and tools for creating custom plots
- Apps for curve fitting, data classification, signal analysis, and many other domain-specific tasks
- Add-on toolboxes for a wide range of engineering and scientific applications
- Tools for building applications with custom user interfaces
- Interfaces to C/C++, Java, .NET, Python, SQL, Hadoop, and Microsoft Excel
- Royalty-free deployment options for sharing MATLAB programs with end-users
|Processor||Any Intel or AMD x86-64 processor|
|RAM||Ṁ2 GB (With Simulink, 4 GB is required; With Polyspace, 4 GB per core is recommended)|
|Hard Disk Space||2 GB for MATLAB only, 4–6 GB for a typical installation|
|Graphics Card Support||Hardware accelerated graphics card supporting OpenGL 3.3 with 1GB GPU memory is recommended|