Computational fluid dynamics (CFD) is a branch of physics that utilizes numerical methods and algorithms to analyze and predict the behavior of fluids and gases under various conditions. This field ...

A [Typst](https://typst.app/) package for Numerical Methods to find roots, gradients and areas of functions. Graph plotting for integrals built on top of [CeTZ](https ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.

Abstract: The recently proposed complying-divergence implicit finite-difference time-domain (CDI-FDTD) method was demonstrated with relatively superior numerical performance, especially with the ...

Learn what inventory accounting is, how it works, and key methods like FIFO, LIFO, and WAC. Includes real-world examples, tips, and best practices. I like to think of inventory accounting like ...

Abstract: Microchannels play an important role in heat dissipation in the chip, so the analysis of the liquid flow field and thermal field through the microchannels is of extremely important ...

A new approach to the local and global explanation based on selecting a convex hull constructed for the finite number of points around an explained instance is proposed. The convex hull allows us to ...

The aim of this paper is to carry out convergence analysis and algorithm implementation of a novel sample-wise backpropagation method for training a class of stochastic neural networks (SNNs). The ...

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