Chemistry, mathematics and physics are central to our understanding of nature. Physics explores the fundamental laws of mechanics, electromagnetism, quantum mechanics and relativity. Chemistry studies ...

A basic Newton-Raphson type nonlinear equation solver for sparse or dense systems with m functions of n input variables. Is object-oriented. Works with square, under-determined, or over-determined ...

Temporal text data, such as news articles or Twitter feeds, often comprises a mixture of long-lasting trends and transient topics. Effective topic modeling strategies should detect both types and ...

Model order reduction allows critical information about sensor placement and experiment design to be distilled from raw fluid mechanics simulation data. In many cases, sensed information in ...

Rainfall forecasting is an important means for macro-control of water resources and prevention of future disasters. In order to achieve a more accurate prediction effect, this paper analyzes the ...

An in-memory factorization device, based on a phase-change material, shows enhanced capabilities in solving large-scale factorization problems due to improved energy, area and time efficiencies of the ...

Chemical manipulation of the onset time of reactions has been a long-standing challenge. Taking chemiluminescence (CL) as an example, the tight coupling between liquid mixing and the light emission ...

Molecular simulations of proteins are often interpreted using Markov state models (MSMs), in which each protein configuration is assigned to a global state. As we explore larger and more complex ...

This library provides common numerical analysis functionality, without requiring any external bindings. It aims to serve as an experimental platform for scientific ...