The original version of this story appeared in Quanta Magazine. In 1939, upon arriving late to his statistics course at UC Berkeley, George Dantzig—a first-year graduate student—copied two problems ...

My graduate studies included learning about constraint-based optimization algorithms (such as linear programming) and ...

Abstract: To improve the performance and decrease the design cost, a high-efficiency lightweight optimization method for analog-to-digital converter (ADC) systems in the Internet of Things (IoT) is ...

Abstract: A time-varying optimization strategy for battery cluster power allocation is proposed to minimize energy loss in battery energy storage systems (BESS). First, the time-dependent loss ...

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...

So many productivity methods ask you to prioritize your daily tasks by considering how much time or effort they'll require, then tackling the resource-heavy ones first. For some people, that's a solid ...

How to make AI truly scalable and reliable for real-time traffic assignment? A research team from KTH Royal Institute of ...

Jason Fernando is a professional investor and writer who enjoys tackling and communicating complex business and financial problems. The market approach is a method for determining the value of an ...