Recently, a research team from the Rudolf Technology Center in Slovenia proposed a new method to optimize the sparse subgraph problem, which has wide applications in fields such as network analysis ...

Abstract: Based on the linear quadratic differential game theory, this paper adopts the graph theory method to design the distributed optimal strategy of each agent in the multi-agent ...

This paper assesses empirically the sign of the uncertainty-investment relation in Brazil within a quadratic adjustment cost model. It is shown that these variables are negatively related in the ...

Sept. 9 (UPI) --Google is celebrating the start of the 2025-26 school year with a quadratic equation-themed Doodle. The mathematical formula has useful applications across physics, engineering and ...

Using a relatively young theory, a team of mathematicians has started to answer questions whose roots lie at the very ...

ByteDance has introduced a new AI educational product, Doubao Aixue Pro, which reconstructs the personalized learning ...

The NIACL AO Prelims 2025 Shift 1 exam was held on 14. Here’s a simple NIACL AO Exam Analysis 2025 with section-wise ...

Abstract: An iterative algorithm to solve periodic Riccati differential equations (PRDE) with an indefinite quadratic term is proposed. In our algorithm, we replace the problem of solving a PRDE with ...

The Quadratic Equation is one of the most scoring topics in the Quantitative Aptitude section of the SBI Clerk Exam. Questions from this chapter are usually straightforward, requiring good calculation ...

This repo is the official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network" by Longxiang Jiang, Liyuan Wang, Xinkun Chu, Yonghao Xiao, and Hao Zhang ...

TensorFlow implementation for DAS-PINNs: A deep adaptive sampling method for solving high-dimensional partial differential equations. Physics-informed neural networks are a type of promising tools to ...