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MATLAB

MATLAB

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.

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Recent Reviews

TrustRadius Insights

MATLAB has proven to be an invaluable tool for a wide range of use cases across academia, research, and industry. Users have praised its …
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Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

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Pricing

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Student

$49

On Premise
per student license

Student

$49

On Premise
per student suite license

Home

$149

On Premise
perpetual license

Entry-level set up fee?

  • No setup fee

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services
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Product Demos

Matlab Filtering Demo Part 1

YouTube

Digital image processing: p038 - Hough Transform with Matlab Demo

YouTube

3D Volumetric Image Processing Demo - MATLAB Video

YouTube

MATLAB Profiler Demo

YouTube

(SSP 1.1.6) Principle of Maximum Likelihood Estimation: Matlab Demo

YouTube

Lecture 02 Part 5: Finite Difference for Heat Equation Matlab Demo, 2016 Numerical Methods for PDE

YouTube
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Product Details

What is MATLAB?

MATLAB Video

MATLAB Introduction

MATLAB Technical Details

Deployment TypesOn-premise
Operating SystemsWindows, Linux, Mac
Mobile ApplicationNo

Frequently Asked Questions

MatLab is a predictive analytics and computing platform based on a proprietary programming language. MatLab is used across industry and academia.

Reviewers rate Usability highest, with a score of 9.9.

The most common users of MATLAB are from Enterprises (1,001+ employees).
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Comparisons

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Reviews and Ratings

(223)

Community Insights

TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!

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 53)
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Doyle Reynolds | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
There are many specific scenarios where MATLAB is well suited. Researchers need fast modeling and fast prototypes for data. In a research environment, new ideas are always popping up so it is important to be able to distinguish quickly what methods are needed and how to get things done. Mostly we know in advance what methods will be successful in our modeling so the only caveat we have is programming time- this is not too much of a problem, because a lot of time is saved as everything needed to run a successful simulation is already outlined in MATLAB variety of functions. I think situations, where MATLAB is less suited, are for people which already can code really well- or already know languages that outperform MATLAB in certain scenarios, such as Python. As a general program language, it often un-performs and although does integrate into other languages such as Fortran, it is quirky and quite slow for many a task.
Saransh Dikshit | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
MATLAB is well suited for data processing and filtering. It can be used well with civil engineering problems related to earthquake or wind engineering. It has a lot of inbuilt models within it. I have used it for Artificial Neural Networks. I have run heavy simulations with MATLAB and the results that I obtained were similar to what I got when I did heavy finite element simulations.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
It is very easy for programming. A lot of resources and helps available at a click in the software itself. The main advantage is it has many toolboxes for almost every field. The way of importing data is very easy and intuitive. The graph customization is very helpful for research and academics Major drawback is size of the package and it constantly gets bigger every year, also integration is something it lacks like with other libraries.
Morteza Banagar | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
It's almost the most advanced and powerful calculator you can find. This makes [MATLAB] very suitable for solving/testing almost any engineering problem. I myself have benefitted from [MATLAB] from my early Bachelor studies and then at work. You can also learn it very quickly as the language is very intuitive, not to mention its super good Help page!
Tyler Grudowski | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
MATLAB is fantastic for analyzing, sorting, and displaying data. I use it all the time to make large data sets easier to understand. It is fantastic for making plots and graphs that display data sets. When you are looking to develop a full application to load onto a smartphone or tablet, MATLAB will not be enough.
Ryan McGarry | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
MATLAB has excellent plugins for processing and analyzing data. Furthermore, it is highly reliable for performing complex calculations/computations (such as running different types of dimensionality reduction techniques on datasets) and is a great environment for developing new algorithms.
April 26, 2021

MATLAB, The Great

Alejandro Daniel Copati | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
MATLAB is perfect for education, with all the specific and professional toolboxes that it has, is a very powerful suite to learn how to develop a workable platform.

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.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
MATLAB really does best for solving computational problems in math and engineering. Especially when you have to use a lot of functions in your solving process, or if you have a nonlinear equation that must be iteratively solved. [MATLAB] can also perform things like integration and derivation on your equations that you put into it.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
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!
Jeffrey Staw | TrustRadius Reviewer
Score 5 out of 10
Vetted Review
Verified User
Incentivized
MATLAB is great for prototyping and really great for getting speed to market for those that know the software well. The syntax can be a little different for classical programmers, so there is a bit of a learning curve that needs to be overcome. As a machine learning prototyping tool, it's got some nice advantages--does calculus and the necessary algorithms to support ML if you know what functions to call and how to manipulate the data.
Score 9 out of 10
Vetted Review
Verified User
In 2015, I developed my undergraduate thesis on face recognition in MATLAB. In 2020, I used MATLAB application for my master thesis in image processing. It made my job very easy while implementing my thesis because it has many ready-made functions. Since the necessary documentation was available on MathWorks, I was able to develop applications quickly without using any other resources.
April 23, 2020

Review of MATLAB

Score 8 out of 10
Vetted Review
Verified User
Incentivized
For a mechanical engineer, MATLAB can be pretty useful for data collection and analysis. It can reveal the X best results from an excel sheet, create a program for manual data entry or plot data. However, it would not be appropriate for more concrete designs, analysis of parts and assembly.
February 27, 2020

MATLAB is quite useful

Score 9 out of 10
Vetted Review
Verified User
Incentivized
MATLAB is well-suited for running proof-of-concept simulations. The learning curve is smooth, so setting up initial experiments is easy. MATLAB is well-respected in the academic community as well as the industry.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
I use it as a math tool for functions not done by hand, and a good way to view plots and data quickly. Also recently used as a tool to study next gen sequencing data from DNA sequencing results. The program can be made very simple to use, so that anyone without programing experience can use it.
Jatin Gupta | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
The MATLAB is suited in various fields. It is best suited for the field of research and development. The major problems occur where we need to enhance and detect anything in an image, maybe medical images. MATLAB is also used in simulating various wireless networks with the latest technology.
Shelby Bowden | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
It is really one of the only programs that is decent in computing statistical processes. While the R program can also be used for many of the same tasks, I have found that MATLAB is generally more proficient at complex or long statistical calculations. Unlike R, MATLAB is often difficult to produce good-looking outputs
Jevgenijs Steinbuks | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
MATLAB is very good for solving any linear models. Also good for solving linearized DSGEs where toolboxes such as Dynare come very handy. It has some nice toolboxes for time-series econometrics, Kalman filtering, and Bayesian estimation.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
MATLAB is great for (and already widely used) for academic/scholarly projects, but that doesn't mean it isn't useful outside those contexts! We've found it great for quickly getting ideas down into useable code for prototyping. We do not find that MATLAB is great for writing code that can be used in "real world" applications like web apps, but code can be ported to another language if needed.
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