Stories Of Love Are Even More Necessary When There Is Strife In The World' . Watching an Imtiaz Ali film today feels like a ...

Mt-KaHyPar is a shared-memory algorithm for partitioning graphs and hypergraphs. The balanced (hyper)graph partitioning problem asks for a partition of the node set of a (hyper)graph into k disjoint ...

Abstract: As the processing of large-scale graphs on a single device is infeasible without partitioning, graph partitioning algorithms are essential for various algorithms and distributed computing ...

The algorithm relies on the Kac-Ward formalism, a mathematical method that allows exact computation of partition functions for planar spin glass systems in polynomial time, making it possible to ...

Crunching hard grains together leads to their rigidification, irrespective of how the system is prepared. While certain features of the resulting jammed materials—e.g. their contact force distribution ...

Abstract: This paper presents a new algorithm, hybrid algorithm (HA), to improve the performance in circuit partitioning while using less resources. Although there have already been two circuit ...

Quadtree stands out as a pivotal data structure, especially in 2D game development. It excels at spatial partitioning, efficiently organizing and searching for objects in a hierarchical tree structure ...

Large language models have captured the news cycle, but there are many other kinds of machine learning and deep learning with many different use cases. Amid all the hype and hysteria about ChatGPT, ...

Fiber clustering methods are typically used in brain research to study the organization of white matter bundles from large diffusion MRI tractography datasets. These methods enable exploratory bundle ...