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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 ...
Potential applications include 3D modeling, academic research, coding, and algorithm design, though its practicality is limited by extended processing times and high computational requirements.
Scientists say using math to sort through DNA could help investigators put stubborn cold cases to rest. The approach combines the relatively new field of forensic genetic genealogy—solving crime ...
Two studies led by Johns Hopkins Kimmel Cancer Center, Ludwig Center, and Johns Hopkins Whiting School of Engineering ...