Abstract: In supervised learning using kernel methods, we often encounter a large-scale finite-sum minimization over a reproducing kernel Hilbert space (RKHS). Large-scale finite-sum problems can be ...

In this video, we explain vectors and derivatives as essential math methods used in physics, showing how they describe motion, direction, and change. Clear explanations and examples help connect ...

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I don’t typically write responses to other opinion pieces, but there was one two weeks ago about new techniques in elementary math education that has inspired me. The main complaint was that there are ...

Four years ago, I was given a fantastic opportunity to be a math coach for a primary years program. But when I started, there was no framework to work within, no script to follow. I was starting from ...

The handling of missing data in cognitive diagnostic assessment is an important issue. The Random Forest Threshold Imputation (RFTI) method proposed by You et al. in 2023 is specifically designed for ...

Method references are a shorthand way to write lambda expressions that call a single method. Rather than implementing a method in a functional interface, a method reference simply points to an ...

New research details an intriguing new way to solve "unsolvable" algebra problems that go beyond the fourth degree – something that has generally been deemed impossible using traditional methods for ...

College of Mathematical and Statistics, Sichuan University of Science and Engineering, Zigong, China. With the rapid development of the global economy and the acceleration of urbanization, ...

Bitcoin miners don't solve complex math problems - they guess numbers. While "solving mathematical puzzles" has become a common description of bitcoin mining, the process more closely resembles a ...