It’s an algorithm that reduces complexity by mathematically compressing a large collection of possible states into a small number of possible clusters. The approach, which she developed with Anru ...

Jonathan Eckstein, Nonlinear Proximal Point Algorithms Using Bregman Functions, with Applications to Convex Programming, Mathematics of Operations Research, Vol. 18, No. 1 (Feb., 1993), pp. 202-226 ...

Medical imaging methods such as ultrasound and MRI are often affected by background noise, which can introduce blurring and ...

Potential applications include 3D modeling, academic research, coding, and algorithm design, though its practicality is limited by extended processing times and high computational requirements.

The algorithm is trying to screw you over, using maths to take from the poor and give to the rich. So says the maths and data science professor author, offering simple maths concepts and hacks ...

In fact, the new algorithm is so effective that researchers say it “can solve a case with a 7,500-person family tree around 94 percent of the time,” compared to only 4 percent of the time with ...

Two studies led by Johns Hopkins Kimmel Cancer Center, Ludwig Center, and Johns Hopkins Whiting School of Engineering ...