Top Six Reasons to Choose MATLAB
MATLAB is a multi-model numerical computing environment and programming platform. It combines computation, visualization and programming to create an easy-to-use environment to solve many technical computing problems.
MATLAB consists of some amazing features making it the easiest and most productive programming environment for engineers and scientists.
Here are six reasons explaining why:
1. MATLAB is designed for engineers and scientistsMATLAB is frequently taught in undergraduate quantitative courses (such as engineering, physics, and applied mathematics), so it is used most often in those fields of work. Furthermore, the documentation is written for engineers and scientists, rather than computer scientists. Computer scientists focus more on the computational theory, while the engineers and scientists take that theory and apply it to real life examples.
2. A programming language that allows users to express matrix and array mathematics directlyMATLAB is designed specifically through numerical computing. Over 1,500 textbooks teach using MATLAB. MATLAB is utilized in many industries, so universities are introducing MATLAB early in the curriculum. Some of the subjects with textbooks utilizing MATLAB are Biosciences, Economics, Physics, Neural Networks, and Robotics. The textbooks present theory, real-world examples, and exercises using MATLAB. These texts not only provide course material but also serve as an authoritative reference for researchers in the industry and academia.
3. Integrated workflowTo implement ideas it takes coordination across multiple people/teams, so to minimize the errors and delays, MATLAB helps automate the path from research through production.
4. MATLAB has professionally developed toolboxesThe toolboxes are rigorously tested, so they are not only guaranteed to work, but also work well together. MATLAB toolboxes provide the ability to learn and apply specialized technology. The toolboxes integrate parallel computing environments, GPUs, and C code generation.
Examples of toolboxes:
- Neural Network Toolbox: Create, train, and simulate shallow and deep learning neural networks
- Financial Toolbox: Analyze financial data, develop financial models, estimate risk, analyze interest rate levels, price equity, and interest rate derivatives, and measure investment performance
- Control System Toolbox: Systematically analyze, design, and tune linear control systems
- Signal Processing Toolbox: Analyze, preprocess, and extract features from uniform and nonuniform sampled signals
5. Data Visualization and interactive applicationsMATLAB has great built-in plotting capabilities. An app in MATLAB is a program with a user interface that automates a task or calculation.
Some of the interactive app categories:
- Math, statistics, and optimization
- Computational finance
- Code generation
- Image processing and computer vision
- Control system design and analysis
6. MatLab is trusted by manyMATLAB has been trusted to be used for a variety of tasks ranging from sending a spacecraft to Pluto to matching transplant patients with organ donors to simpler tasks like compiling a report for management. Jobs at companies, such as Tesla, Amazon, Facebook, Verizon, and Apple, require knowledge about how to use MATLAB and other programming languages.
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