MATLAB is the abbreviation for Matrix Laboratory. MATLAB has become an indispensable asset for scientists, researchers, and engineers due to its simplicity and versatility. No matter what walk of life you are from, chances are high that you will have to take a MATLAB training at some point in your life. The applications of MATLAB are diverse. The richness of the MATLAB computational environment combined with an integrated development environment (IDE) and straightforward interface, toolkits, and simulation and modeling capabilities has resulted in a software application that is quite an indomitable force in the IT industry. From quick code prototyping to deploying complex applications, MATLAB stands as a de facto development language and environment serving the technical needs of a wide range of users.
Here are top 10 applications of MATLAB:
Engineering – This is one of the most important applications of MATLAB. Almost all engineering branches make use of mathematical applications and formulae which are sometimes too difficult to solve manually. Many ideas and concepts used in engineering rely on math as a starting point because math provides the means to express the idea in a form that others can understand. MATLAB provides mathematical tools to solve problems and also draw 2D and 3D graphs.
Education – MATLAB is used in the educational sector. There is the site called MathWorks.com where you can find tutorials for various subjects. The principles you learn by working through problems with MATLAB follow standards that apply equally well to other products. Several versions of MATLAB are available for the use of students. Note that you may require some special add-ons for your classes.
Science – When applied to science, MATLAB helps you perform scientific analysis that helps you confirm the viability of a theory. One excellent example is the use of MATLAB in the health industry to find a cure for cancer or the Ebola virus. A computer scientist can contribute radically and make use of computer technology to aid those with accessibility needs.
Research – Research theses are about defending an idea. And the tool most often chosen for defending is maths. MATLAB lets you check the answer and verify that it does work in accordance with your expectations. After an answer is proven, the researcher can use MATLAB further to define precisely how the answer is used. Although many of MATLAB’s uses require graphics, research has a significant need for graphics because it is often required to explain answers to people in an elucidated format.
Algebra – Yes, just like you, I too hated algebra classes in middle school. It may be hard to believe, but linear algebra really is part of the workplace. But worry not, MATLAB can help you with some of the complex algebraic problems like – predicting the amount of turnover a company will have, determining how many items to keep in inventory, setting a budget for the given year.
Numerical problems – MATLAB offers numerous mathematical operators. The numerical analysis relies on approximation rather than the precision. Performing certain building construction tasks is impossible without applying numerical analysis, and astronomy seems to require heavy use of it as well. Complex numerical problems relating to trigonometry and calculus can be solved easily in MATLAB. Such numerical are required in many professions from architecture to food technology.
Complex mathematics – Maths can get really murky and complicated at some point in your life. So, thank the lucky stars that you have MATLAB. MATLAB makes it possible to play with math, to create new ways of using numbers to perform useful tasks.
Simulation – Using a simulation rather than a real-world counterpart is a low-cost approach to testing that is an essential part of any sort of scientific or engineering endeavor today, for these reasons:
- Saves time.
- Enhances the ability of the people involved to try various solutions.
- Reduces costs.
- Increases the security surrounding a new technology.
MATLAB makes simulations possible in several different ways. It may not always provide a complete solution, but you can use it to perform these kinds of tasks:
- Define the original math model used to define the technology and therefore the simulation.
- Create individual snapshots showing how the technology will work based on the model.
- Demonstrate the workflow for a technology using animation techniques so that even less-skilled stakeholders can see the technology at work.
Image processing and graphics – Image processing is the act of managing the pixels in an image using mathematical techniques to modify the matrix values. Techniques such as adding two matrices together are common when performing image processing. MATLAB offers various tools to execute image processing and custom graphics.
Programming – Computer scientists rely heavily on math to perform tasks. MATLAB, with its rich toolbox, can be used to rapidly prototype an algorithm before committing the development resources to implement the algorithm in another language, such as C++ or Java. Programmers commonly depend on MATLAB to enhance their productivity. When creating an application, you must ensure that the output is valid. However, verification is just one use. Computer scientists deal with a nearly inexhaustible supply of unknowns that could potentially benefit from the use of MATLAB.