Abstract: A nonlinear programming solver is used in this paper to optimize a proposed objective function to handle the energy management system (EMS) of a grid-connected quasi-Z-source cascaded ...

What is linear regression in machine learning ? Understanding Linear Regression in machine learning is considered as the basis or foundation in machine learning. In this video, we will learn what is ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. There is a need for design strategies that can support rapid and widespread deployment ...

Jeremy has more than 2200 published articles on Collider to his name, and has been writing for the site since February 2022. He's an omnivore when it comes to his movie-watching diet, so will gladly ...

remove-circle Internet Archive's in-browser bookreader "theater" requires JavaScript to be enabled. It appears your browser does not have it turned on. Please see ...

I use MS Excel to develop a linear maximization model for allocating a fine dining restaurant's promotion budget across Facebook, Groupon, and Yelp to maximize audience exposure while adhering to ...

We investigate the online bandit learning of the monotone multi-linear DR-submodular functions, designing the algorithm \(BanditMLSM\) that attains \(O(T^{2/3}\log T)\) of \((1−1/e)\)-regret. Then we ...

I was 5 or 6 when I got my first sense of the joys of computer programming. This was in the early 1980s, when few people had a computer. One day, my dad brought home a Sinclair ZX Spectrum, one of the ...