MATLAB

MATLAB

MATLAB is a mathematics software designed for visual integration and detailed analytics. It combines math, graphics, and programming to make mathematical data entry and analysis easier than ever before. 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 which let you set algorithms loose 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 which 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.

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Features of MATLAB
  • Desktop layout optimized for analysis and design
  • Simple programming language which directly expresses array and matrix mathematics
  • Interactive apps that break down algorithms and generate MATLAB programs
  • Ability to scale analyses without coding rewrites
  • Production-ready code that can be used in external software
  • Model-Based Design for more comprehensive analytics
Pros of MATLAB
  • Structured programming language streamlines the user experience
  • Superior organization helps to label and categorize data points
  • Analyses can be scaled without needing a coding rewrite
  • Production-ready code can automatically be applied to external sources
  • Interactive apps allow more in-depth algorithm play
Cons of MATLAB
  • Cons
  • MATLAB has accompanying apps which let you set algorithms loose 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 which 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.
  • Multiple output windows can cause problems when they're individually closed
MATLAB Video

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