Overview
What is MATLAB?
MatLab is a predictive analytics and computing platform based on a proprietary programming language. MatLab is used across industry and academia.
MATLAB- Fantastic program for visualizing data and complex modelling.
MATLAB Streamlines Data Processing for Scientific Research
Read my review of MATLAB on @TrustRadius
A great utility for Singnal Processing and Computational Maths
All-Inclusive Powerful Calculator
MATLAB - a simple, powerful data analysis tool
Matlab is a powerful analysis tool for engineers!
MATLAB offers built-in and third-party packages to analyze any type of data, while excelling at neuro-physiological data processing
MATLAB, The Great
MATLAB really does it all, but shines best with computations when no other program can!
MATLAB - great tool for Mathematicians and Engineers
MATLAB as statistical tool
MATLAB is a machine learning friend
Great but needs improvement on deployment
The most trending tool for mathematical operations, image processing, signal processing.
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Product Demos
Matlab Filtering Demo Part 1
Digital image processing: p038 - Hough Transform with Matlab Demo
3D Volumetric Image Processing Demo - MATLAB Video
MATLAB Profiler Demo
(SSP 1.1.6) Principle of Maximum Likelihood Estimation: Matlab Demo
Lecture 02 Part 5: Finite Difference for Heat Equation Matlab Demo, 2016 Numerical Methods for PDE
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What is MATLAB?
MATLAB Video
MATLAB Technical Details
Deployment Types | On-premise |
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Operating Systems | Windows, Linux, Mac |
Mobile Application | No |
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(223)Community Insights
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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.
Users highly recommend using MATLAB for its versatility and ease of use, especially for tasks in biomedicine, academia, and image processing. They also suggest utilizing MATLAB for modeling and analyzing big data, as well as solving problems that heavily rely on numerical computations.
Users find the license price for MATLAB worth it due to its wide adoption and extensive usage in most companies. They advise starting with simple problems and exploring the detailed documentation available in MATLAB's help menu. Users also recommend working with Mathworks to identify required packages and obtain a realistic price quote.
To optimize code in MATLAB, users suggest receiving proper training and taking advantage of online tutorials and user forums. They recommend searching for pre-defined functions online to streamline code implementation. For an easier learning experience, users suggest using MATLAB on the Windows operating system.
Users find MATLAB suitable for mathematical and computationally intensive tasks, making it the backbone software for engineering students. They recommend keeping the documentation handy while learning MATLAB and suggest considering the frequency of use before purchasing the software.
Furthermore, users highly recommend MATLAB for mathematical computational programming and simulations, as well as computation and simulation tasks in general. They suggest seeking help or referring to tutorials to learn MATLAB effectively. Users also recommend getting a review book to grasp the basics of MATLAB.
Lastly, users believe that MATLAB is an essential tool for business success and a great platform for calculus, problem-solving, and multitasking. They suggest taking a course or introduction to make the most out of MATLAB's capabilities. Users view MATLAB as a versatile software that can be used in any field, especially in engineering.
Despite acknowledging the significant upfront and ongoing cost of MATLAB, users highly recommend it due to its well-designed, well-supported, fast, and robust nature.
Attribute Ratings
Reviews
(1-25 of 31)- MATLAB is great at providing in-depth models and simulations with very little coding, this is particularly useful to non-coders and potential data scientists who know very little or basic understanding of coding languages. The drag and drop components of the software are ideal and its simplicity allows the user to really understand the math behind the simulations running.
- It is fantastic for visualizing data, without being able to properly visualize data is almost useless, MATLAB allows the users to quickly dissect and understand how different data sets affect different variables and so forth.
- It has a wide range of supportive documentation and the online community is very active and engaged. If you ever have any problems, you can always count on someone being there to help you understand what is going on.
- I believe the software is quite expensive, so it is not open to independent parties which is a shame as it is fantastic at what it does, if they could find a way to include independent people rather than mass groups, I think it would really benefit a lot of people.
- The responsiveness of the software is not always the best and this can be very hindering to the user, especially when working with sensitive data/models.
- MATLAB is inefficient in some of its works and sometimes it is not the best tool for the job, there are times when it is quicker to write scripts in Python that run and work much better than they would ever do in MATLAB.
Read my review of MATLAB on @TrustRadius
- It has a very user friendly library which helps users learn this software fairly quickly in a short span of time.
- The graphical user interface provided by the software is really good.
- The code that a person writes allows options for debugging.
- One can visualize the flow of control of their code inside MATLAB.
- I would want for the library to get updated more regularly.
- MATLAB uses a lot of computer memory for running heavy simulations. Its performance could certainly be optimized.
- Apart from this, I think MATLAB is a very powerful software and helps in almost every scenario of engineering.
- Rapid prototyping of signal processing applications.
- Ease of testing and comes with a good editor and toolset.
- Data Analytics and Matrix Processing Capabilities.
- It a is costly utililty.
- Software can be made easy and user friendly.
- Makes the system slow and takes up lot of resources.
All-Inclusive Powerful Calculator
- Very simple and easy-to-use programming features (m-files)
- Very strong technical toolboxes for almost any engineering needs (esp. in electrical engineering)
- Effective and beautiful plotting features
- Its debugging environment can be improved (could be more similar to C++ or C# editing environments)
- Its new plotting environment is very different from the previous versions! It is improved in options, but a bit hard for an old user to catch up with
- It would have been excellent if Matlab's usage of RAM could be limited. More precisely, I would like to have the option not to let Matlab eat all the memory!
MATLAB, The Great
- Very powerful console. You can do anything directly through the MATLAB console with no need to write a whole C/C++ program to do simple things.
- Ease of creating a simple and intuitive GUI with a very powerful wizard.
- A lot of professional packages and toolboxes for complex problems resolutions. Like Signal Processing, Image Processing, Calculus, etc.
- The language of programing is like a very nice version of C/C++.
- The handling of the variables is all making for MATLAB, you don't need to pay attention if you are using more memory that you have, for write one example. MATLAB take care of your stuff and optimize it.
- When a GUI start to grow up and have many objects, the performance of it starts to decrease very quickly and start to crash sometimes.
- You can not have more than one function in each file. I mean, you can't make a sort of library in one .m file. If you have different functions, you have to have different files.
- I think that a very good improvement is that MATLAB can understand the C/C++ sentence and data types. I mean, if I have an array of hexadecimal values in C/C++, I can't copy that in MATLAB because I can't use "0xA4" for the A4 hex value, for example.
I think that is a little less appropriate in the case that you are an applications developer, where you have to make an application that has to work independently if the user has or hasn't idea how to use MATLAB.
MATLAB as statistical tool
It helps us to analyze sales for different products and and provide ways to visualize Data.
- Great for statistical analysis
- Easy to visualize the code being written into matlab
- It's easy to learn and use and has an user friendly library
- Written codes are easy to debug
- Needs to be more compatible with different programs
- Matlab is slow and crashes a lot
- License is expensive
Great but needs improvement on deployment
- Good for quick prototyping.
- Quick data analysis on small datasets
- Ease of learning
- Very supportive online help doccumentation
- Extensive user base for questions and a very active community
- Modularity
- Support for object oriented programming
- Making functions available for other languages/ Ability to develop APIs for other languages
The most trending tool for mathematical operations, image processing, signal processing.
- Less code can be done by writing many operations.
- Different library support.
- Installation files take up too much space on the computer.
- The computer becomes very slow when MATLAB is on.
- All plugins should be free.
MATLAB is quite useful
- User-friendly interface, the learning curve is smooth.
- Plotting functions are diverse, can save a figure in an editable format.
- Interfaces with many tools in different fields
- Subject-specific toolboxes
- Expensive
- Bulky, little slow as the size of input data increases
MATLAB as an educational tool
- Numerical computing
- Graphical modeling
- Education tool
- Better UI with Mac/IOs users
MATLAB: A Finance Analyst Perspective
- The programing language to enable functions is straight forward and fairly intuitive to understand.
- MATLAB does have intro lessons to help end-users become familiar with the MATLAB and its specific programming language.
- MATLAB has an incredible community of users and challenges to further and help end-users to use MATLAB for leisure and professional purposes.
- More examples of how MATLAB can be used in other functional areas such as Finance and Accounting. I can definitely see how MatLab can be used for mathematics and sciences and other statistical uses but it is readily apparent for other areas.
MATHLAB for machine learning
- MATLAB helps in simulating and modeling systems. We don’t need much coding knowledge to model/simulate systems. We just need to drag and drop components and connect them. Ideal for math students.
- Codes are simple and clear. We don’t want to worry about memory management and other coding rules and regulations. Syntaxes are simple and flexible. There are powerful codes and they can be written in one or two lines.
- MATLAB is ideal for making prototypes. As we don’t want to worry about coding, we can focus totally on the math part.
- Great tool for visualizing data. As I’m doing projects on data science, I know the importance of visualizing data before developing models.
- There should be a guiding program integrated with the software for beginners.
- There should be plugins to import other scripts written in other languages.
- MATLAB should allow users to add or remove features. Thee are unwanted features and functionalities for some users.
MATLAB.. computing with learning.
- Latest version include support of deep and machine learning.
- Various tool box for processing and work in various fields.
- Medical image enhancement is one of major use in MATLAB.
- Need improvement in learning module.
- The support for previous version is not available for new version users.
- The signal processing tool box need major changes.
MATLAB - my statistical savior!
- Very easy to write your own operations and share with others
- Great statistical processing capabilities
- Very user friendly for even inexperienced programmers
- It is often difficult to receive help on issues with writing code
- To a new user, it can often be overwhelming to start. A tutorial would be great!
- Better compatibility with other programs
One of the key economic modelling tools
- Excellent treatment of linear algebra and matrix manipulation
- Easy and clear syntax
- User friendly interface
- Weak treatment of non-linear problems
- Slow compared to key competitors such as Julia
- Licensing issues make it difficult to work with models and large datasets that require parallelization
MATLAB is great for the MATH-intensive problems
- Very versatile
- Good for data wrangling and visualization.
- Other domain-specific packages such as SimBiology can be added on top of base MATLAB.
- Can be pricey for non-academic users.
- Uses 1-based indexing, unlike many other scripting languages.
Why I Prefer MatLab over Python
- Has robust and easy-to-use debugging tools that can help one identify problems in one's codes.
- Rich, well-developed and efficient library of mathematical and statistical functions that one might need to develop models or perform statistical analysis.
- A very active online user community that is a great resource in terms of seeking help when you hit a snag.
- Great help literature (and sometimes videos too) on all tools making it possible for all to train themselves.
- MatLab is pricier than most of its competitors and because of this reason, many organizations are moving towards cheaper alternatives - mostly Python.
- MatLab is inefficient when it comes to performing a large number of iterations. It gets laggy and often crashes. Python is better in this regard.
- There is a limited number of hardware options (mostly NI) that can be connected directly to the data acquisition toolbox.
MATLAB: not just a programming environment
- A great high-level abstraction programming language that's very easy to learn yet extremely powerful for more advanced users to take advantage of its computing capabilities.
- Top notch documentation that's built directly into the programming environment and very well structured courses/workshops can be found online (free).
- Great support team and frequently updated application that's designed to make efficient use of modern Intel processor's available resources.
- Diverse types of licensing (students, professional, organizational) allow for flexible plans and can be customized to include the toolboxes you require for your specific use case.
- MATLAB should have a full free version (without time limit) in order to be more accessible and thus have a greater user community.
- The idea of having toolboxes to work directly with hardware (microcontrollers, single-board computers) is great, but one can tell it isn't updated very frequently and there isn't as much documentation available as with more common resources.
- Our organization had a lot of trouble getting our network licenses to work properly and there wasn't any local service provider that could help us get it to work faster.
MATLAB - The powerful platform to solve complicated problems
- 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
- 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.
MATLAB Review for Analyst
- built-in function libraries, no need to create new functions most of the time
- MATLAB has interfaces to Python so I sometimes use specific Python modules to pre-process data sources.
- Common data sources are easy to import to MATLAB
- MATLAB is not commonly used in business sense so I do not find many support for business use
- software not open-sourced
Fantastic tool to kill engineering problems
- A tremendous collection of functions (mathematics, statistic, financial, etc) have already integrated into MATLAB and free to use for all of the users no matter what type of license users have
- MATLAB Toolbox is pretty powerful. Its GUI interface helps users visualize solutions directly and can generate editable MATLAB code easily for future use.
- MATLAB tutorials are everywhere (online video tutorials, forums, and seminars) and are easy to find. Documentation from MATLAB itself is also clear to follow with few sample questions.
- Although MATLAB language is easy to learn and use, there is still limited interaction between MATLAB and other widely-used programming languages such as Python. Would like to see a language convertor that can convert MATLAB language into other ones.
- It takes much RAM and memory of a computer when processing data in MATLAB, which definitely slows the computational speed.
- To generate an animation for a parametric study, it would take lots of efforts to write the code or proceed with a specified GUI. With some experience with mathematical, I feel mathematical is even easier to use although I was quite new to it at that time.
Matlab for data analytics
- Prototype / model algorithms
- Plot data and code
- Deep learning
- Not easy to customize plots/graphs
- Coding can be tediuous
- Sometimes it's slow or laggy.
A great tool for developing a product - MATLAB
- The ability to process a variety of data.
- Interface, Plot figures for reporting.
- Expensive
- Not easy to integrate it with Other softwares.
MATLAB is user friendly and displays data conveniently
- Math calculations done easily, no need to add too many libraries or any complicated imports.
- Plotting graphs is user friendly and they look good.
- Keeping data in matrix form is useful, and they are easily accessible and referenced later in the code.
- Easy access to stored matrices of data from the main screen. I really appreciate this feature to continuously double check how data is being saved and also to check the values from time to time.
- Expand the student free versions, as a student it should be more encouraged to obtain free software to practice and learn more.
- Too high price for license, too expensive for private use outside an organization.
MATLAB for modeling
- linking between files for calling commands is simple and allows for easy organization
- produces clean graphics outputs with user-friendly interface to edit plots
- It is a widely used software so finding online help to problems and roadblocks is pretty easy
- Error messages could be more detailed to help you fix problems in your code