Abstract: Neural operators are a class of neural networks to learn mappings between infinite-dimensional function spaces, and recent studies have shown that using neural operators to solve partial ...

In this tutorial, we will study two fundamental circuits in Electronics: the low-pass filter and the high-pass filter, independently of the input signal. In linear networks in a sinusoidal regime, the ...

Researchers from The University of New Mexico and Los Alamos National Laboratory have developed a novel computational framework that addresses a longstanding challenge in statistical physics. To study ...

In teaching and textbook-writing on partial differential equations the author has observed some peculiar phenomena. He gives a bouquet of such observations in the article. Publisher Information ...

Simo Särkkä and Arno Solin (2019). Applied Stochastic Differential Equations. Cambridge University Press. Cambridge, UK. The book can be ordered through Cambridge University Press or, e.g., from ...

In the past few years, fractional differential equations have emerged as a strong and well-organized mathematical tool in the study of many occurrences in science and engineering. Research in ...

There are lockers and knockers, limited slips and Sure Grips. Sometimes they're called Positractions and sometimes much worse. But this name game is really about the concept of pushing equal measures ...

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thank you for the amazing package. I'm very interested in differential abundance analysis. I have tryed the LDA and the RF approach and generally it works well. Nevertheless, I have one question ...