Abstract: Distributed optimization provides a framework for deriving distributed algorithms for a variety of multi-robot problems. This tutorial constitutes the first part of a two-part series on ...

Molecular modeling soon attracted the attention of Medicinal Chemistry researchers, given the importance of molecular structure for understanding the mode of action and for designing bioactive ...

Amazon says it will allow authors to offer their DRM-free e-books in the EPUB and PDF formats through its self-publishing platform, Kindle Direct Publishing. Starting on January 20, 2026, authors who ...

With the rise of 3D printing and other advanced manufacturing methods, engineers can now build structures that were once impossible to fabricate. An emerging design strategy that takes full advantage ...

Schug discusses the role of surrogate modelling in chromatographic method development and process optimization. Surrogate modelling is emerging as a powerful tool in chromatographic method development ...

Department of Electronics and Information Engineering, Korea University, Sejong 30019, Republic of Korea Division of Smart Energy Convergence Engineering, Korea University, 2511 Sejong-ro, Sejong ...

ABSTRACT: The alternating direction method of multipliers (ADMM) and its symmetric version are efficient for minimizing two-block separable problems with linear constraints. However, both ADMM and ...

The page file is the virtual memory that Windows depends on other than RAM to store processes that aren’t immediately required. People often recommend disabling it if you have enough RAM for your ...

Table 8 shows the mean values of the OQS values corresponding to each level and their ranges for the MIM process parameters using the Taguchi method. IP: 350 bar, IT: 140 °C, PL: 64.5%vol, MT: 45 °C, ...

Group Relative Policy Optimization (GRPO) is a novel reinforcement learning method introduced in the DeepSeekMath paper earlier this year. GRPO builds upon the Proximal Policy Optimization (PPO) ...