TrustRadius Insights for MATLAB are summaries of user sentiment data from TrustRadius reviews and, when necessary, third party data sources.
Business Problems Solved
MATLAB has proven to be an invaluable tool for a wide range of use cases across academia, research, and industry. Users have praised its versatility, ease of use, and extensive capabilities in solving complex problems and handling large amounts of data. From academic homework and research projects to major industry applications, MATLAB has been employed for a variety of purposes.
In the academic realm, MATLAB is commonly used as a teaching instrument, particularly in engineering and mathematical courses. It helps students grasp complex concepts that cannot be easily computed by hand and provides an accessible coding platform with excellent visualization capabilities. MATLAB is also utilized for simulation purposes, allowing engineering students to evaluate complex integrals and summations, as well as undertake signal processing projects.
Researchers frequently rely on MATLAB for data analysis and modeling tasks. Its intuitive interface and programming structures make it an ideal tool for generating graphs and plots for visualization purposes. MATLAB's built-in artificial neural network models have been effectively employed for various studies, including rainfall-runoff modeling, earthquake and wind excitation analysis, and climate data processing.
In industry settings, MATLAB proves its worth by solving complex problems, automating processes, and handling large datasets. It is widely used for prototyping mathematical algorithms in machine learning applications, aiding in product conceptualization through data visualization and mathematical modeling. Additionally, MATLAB finds utility in diverse fields such as power systems simulation, medical research, control systems development, image processing, algorithm prototyping, and automation.
Overall, MATLAB's broad range of applications across academia, research, and industry makes it a valuable asset for individuals and organizations alike. Its adaptable nature enables users to tackle various challenges efficiently while benefiting from its abundant functionalities and user-friendly interface.
I use MATLAB in many of my courses. Currently, I am using it in an advanced math modeling course (to solve systems of differential equations) and in an advanced mathematical software course. The interface is fairly intuitive and the programming structures are easy to understand, making this software an ideal way to teach mathematical programming to students. MATLAB is a package that many of the students will find in their workplaces when they get out in industry.
Pros
Matrix operations
Numerical methods
Plotting
Cons
A bit of a learning curve, especially for those just learning to program
Error messages could be more informative
Likelihood to Recommend
Engineering, mathematical modeling, and machine learning are all fields where MATLAB will shine. It's fast, reliable, and relatively easy to use. MATLAB is the de facto standard when it comes to producing high-quality plots. If you need to deal with large data sets, and not take forever processing them, MATLAB may very well be the tool for you!
I am a graduate research assistant and I always use MATLAB for my research purposes, as does my whole research group. Our university also uses this software, especially graduate students. The main use of MATLAB is to create high-quality publishable figures, solve the more complicated problems through coding, fit my data with the curve fitting toolbox, optimize my process using the optimization toolbox and finally, it just makes my research life easier. I love it very much.
Pros
Generating publication quality figures
Fitting the experimental data with the model using curve fitting toolbox
Process optimization using the optimization toolbox is easier than on other software
It seems to me like a calculator which helps me to solve the complicated coding problems
Cons
MATLAB is somewhat expensive.
The toolboxes are not included with MATLAB as you have to purchase the license for the toolbox, which makes MATLAB very expensive.
If you have large data, it becomes slow which annoys me a lot.
Likelihood to Recommend
Easy coding, Small data handling, curve fitting, and optimization of the system are all well suited in MATLAB, whereas if you have large sets of data they will make the process very slow. In my research, I always use Matlab for generating figures and analyzing the data. Sometimes, if the coding is composed with large data, then it is a problem. Overall, I will recommend using MATLAB as there is no other suitable software as user-friendly as MATLAB.
1) I used MATLAB in various applications such as Signal Processing and Communications, Image and Video Processing, Control Systems, Test and Measurement and Computational Finance.
2) It Provides development tools for improving code quality, maintainability and maximizing performance.
3) MATLAB is use for building applications with custom graphical interfaces.
4) It has functions for integrating MATLAB based algorithms with external applications and languages such as C, Java, .NET and Microsoft Excel.
Pros
MATLAB tools are best as it provides development tools for improving code quality, maintainability and maximizing performance.It has a vast library of mathematical functions for linear algebra, statistics, Fourier analysis, filtering, optimization, numerical integration and solving ordinary differential equations.
It is easy to learn. No need to write full C& C++ program to do simple things.
It provides tools for creating custom plots.
It has vast library of mathematical functions for linear algebra, statistics, Fourier analysis, filtering, optimization, numerical integration and solving ordinary differential equations.
Cons
Due to slow loading sometimes the whole system freezes .
You can't make a library in one .m file. If you have different functions, you need to have different files.
You cannot share a script with another person who does not have access to MATLAB.
Likelihood to Recommend
This is a good software for engineering students. It can be useful for electrical, mechanical and computer science students for solving different aspects of problems. Image processing & mathematical calculations can be done by using MATLAB software. On the contrary, MATLAB software is not appropriate software for implementing deep neural networks and 3D plot.