Matlab Review
January 31, 2018

Matlab Review

Anonymous | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

Overall Satisfaction with MATLAB

I have used matlab for image processing on a big project with numeric data calculations for future purposes - the graphical output is optimized for interaction. Anyone can use it for different different purposes, like linear algebra calculations, an easy way to calculate return of investment, predicting the amount of turnover a company will have, or creating a financial plan.
  • Exploring research: The graphical representation using plot graph is very interactive to predict future performance.
  • Easy syntax, easy to learn.
  • Engaging mathematics.
  • Saves time, saves costs.
  • It uses a large amount of memory and on slow computers it is very hard to use.
  • It sits “on top” of Windows, getting as much CPU time as Windows allows it to have. This makes real-time applications very complicated.
  • Saves costs, saves time.
  • Make a software easier to read, write, execute, and use.
  • Determining growth and work accordingly.
  • Python and GNU Oct
Though Python is an easy language, it does not features all of the same functionality as matlab, which makes matlab more useful. If one wants to use same software as matlab, use GNU Oct. GNU Octave may be the best-known alternative to MATLAB. it strives for exact compatibility, so many of your projects developed
for MATLAB may run in Octave with no modification necessary.
1) Image processing - for example to analyze a person's face - face-lock in mobiles, Doors, Laptops etc.
2) You can predict anything using its mathematical functions - performance, future ROI, predictive turnover etc.
3) Increases the security surrounding a new technology.
4) Can use it for fingerprint analysis for attendance purpose in a company.