Abstract: Partial differential equations (PDEs) are ubiquitous to the mathematical description of physical phenomena. Typical examples describe the evolution of a field in time as a function of its ...

Meshless Generalized Finite Differences (mGFD) solver and reference point-cloud datasets for 2D PDEs on irregular domains, with reproducible batches and benchmarks.

high-order finite-difference solvers for dataset generation, the Burgers-equation PhyCRNet model implementation, a training and evaluation entrypoint, utility functions for checkpointing, plotting, ...

Memory-based questions serve as a useful tool for analyzing GATE 2025’s subject-wise trends and question patterns. Today GATE exam is scheduled for subjects like Computer Science & Information ...

时间序列概况在日常生活和专业研究中都很常见。简而言之,时间序列概况是一系列连续的数据点 y(0), y(1), ..., y(t),其中时间 t 的点依赖于时间 t-1 的前一个点(或更早的时间点)。 在许多应用中,研究者致力于预测时间序列概况的未来行为。存在各种建模方法。

Solving partial differential equations is computationally expensive, creating challenges for real-time physics simulations involving the wave equation in virtual acoustics—e.g., mixed reality, spatial ...

Cycling of co-substrates, whereby a metabolite is converted among alternate forms via different reactions, is ubiquitous in metabolism. Several cycled co-substrates are well known as energy and ...

Physics-Informed Neural Networks (PINN) emerged as a powerful tool for solving scientific computing problems, ranging from the solution of Partial Differential Equations to data assimilation tasks.

GPUs have become a household name in High Performance Computing (HPC) systems over the last 15 years. However, programming GPUs is still largely a manual and arduous task, which requires expert ...