![]() ![]() NET, etc., making the Matlab language more versatile. Matlab coder is used to converting the code that is written in Matlab to Java, Python, C++.Matlab is a fourth-generation high-level language.Being compiler-independent makes Matlab more efficient and productive.Codes are written in sentences and executed one by one. Matlab is a compiler-independent tool and doesn’t require any compiler to execute like as required in C, C ++.The various applications involving Matlab are below – Matlab also supports building applications with custom graphical interfaces.Īs we discussed in the introduction to Matlab, we will now learn about Matlab’s applications which are as follows: Matlab is widely used in the industry as a tool for mathematical computation and different streams of studies like physics chemistry, engineering, mathematics, Etc. ![]() With its uniquely designed programming interface, Matlab helps its users with development tools for maximizing performance and improving code maintainability.NET for integrating Matlab-based algorithms with external applications. Matlab provides integration support with other languages like C, Java, Microsoft Excel, and.Matlab also supports an iterative environment helping to design and problem solving along with iterative exploration.Matlab provides support for creating custom plots and data visualization with its built-in support for graphics.Matlab is a high-level language used for visualization, application development, and numerical computation.Matlab contents are a huge library of built-in functions providing support for various mathematical functions like filtering, optimization, Fourier analysis, linear algebra, statistics, numerical integration, and solving differential equations.Below given are a few of the characteristics that make Matlab an intelligent tool – Hossain, with his dedicated research team, is looking forward to exploring methods to make the electric power systems more sustainable, cost-effective and secure through extensive research and analysis on energy storage, microgrid system and renewable energy sources.Matlab is a versatile tool designed for computational mathematics and supports lots of other operations. He received the Rising Faculty Scholar Award in 2019 and the Faculty Achievement Award in 2020 from Oregon Tech for his outstanding contribution to academia. He has authored the book Excel Crash Course for Engineers (Springer, 2021), co-authored the book Renewable Energy Crash Course: A Concise Introduction (Springer, 2021), and is working on several other book projects. His research interests include modeling, analysis, design, and control of power electronic devices energy storage systems renewable energy sources integration of distributed generation systems microgrid and smart grid applications robotics, and advanced control system. Hossain is a registered Professional Engineer (PE) in the state of Oregon, a Certified Energy Manager (CEM) and Renewable Energy Professional (REP), a senior member of the Association of Energy Engineers (AEE), and an Associate Editor for IEEE Access, IEEE Systems Journal, and IET Renewable Power Generation. He received his PhD from the College of Engineering and Applied Science at the University of Wisconsin Milwaukee (UWM), his MS in Mechatronics and Robotics Engineering from International Islamic University of Malaysia, and a BS in Electrical & Electronic Engineering from Khulna University of Engineering and Technology. He is currently involved with several research projects on renewable energy and grid-tiered microgrid systems at Oregon Tech. He has been working in the area of distributed power systems and renewable energy integration for the last ten years and has published a number of research papers and posters in this field. Eklas Hossain is an Associate Professor in the Department of Electrical Engineering and Renewable Energy and an Associate Researcher with the Oregon Renewable Energy Center (OREC) at Oregon Institute of Technology. ![]()
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