In fast-moving markets, algorithmic systems can rapidly place and cancel orders, creating what appears to be deep liquidity while reducing actual executable volume. This often results in slippage and ...

Abstract: This study focuses on using direct methods (first-discretize-then-optimize) to solve optimal control problems for a class of nonsmooth dynamical systems governed by differential variational ...

Abstract: This article proposes a deep Koopman-based identification method for nonlinear dynamical systems with modeling residuals learned recursively by incremental Gaussian process regression (IGPR) ...

Business leaders are facing a new reality. AI and agents are transforming traditional systems of record into systems of action, becoming applications that not only store data but use it to drive ...

Copyright: © 2025 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. In the past three decades ...

A research team has developed a novel method for estimating the predictability of complex dynamical systems. Their work, "Time-lagged recurrence: A data-driven method to estimate the predictability of ...

The environments and landscapes of an open-world game can be tremendously important to the experience, especially if the title focuses its efforts on exploration. While some open worlds are entirely ...

Behavioral theories are essential in understanding physical activity (PA) and developing effective intervention strategies, yet most theories have been developed alongside common research methods ...

Motivational care planning works: it engages the population and produces better health outcomes at reduced clinical workload. Prof. Shahid Ali, Business Director, Dynamic Health Systems Dynamic Health ...

Biodistricts are territories where farmers, citizens, public authorities and other local actors realize a formal agreement aimed at the sustainable management of local resources, based on the ...