ABSTRACT: Piyavskii’s algorithm maximizes a univariate function satisfying a Lipschitz condition. We propose a modified Piyavskii’s sequential algorithm which maximizes a univariate differentiable ...

Variations on this theme have been reported for sometime, evident in a couple dozen posted issues, focusing on various versions of the issue, such as the new algorithms is: nonoptimal, crashes, order ...

Typically (but not always) found in specialized cars and motorcycles, a sequential manual transmission, often shortened to just "sequential," is a type of manual gearbox which, like a traditional ...

/1Fuel/ – The sequential algorithms powering Cardano and Solana are beginning to show limitations compared to 1Fuel’s cutting-edge transactional technology. While Cardano and Solana have long been ...

A NEW sequential diagnostic algorithm combining the Fibrosis-4 Index (FIB-4) and an ultrasound-based deep learning (DL) model has demonstrated improved accuracy and referral efficiency for identifying ...

Sampling from complex probability distributions is important in many fields, including statistical modeling, machine learning, and physics. This involves generating representative data points from a ...

This useful study reports how neuronal activity in the prefrontal cortex maps time intervals during which animals have to wait until reaching a reward and how this mapping is preserved across days.

Abstract: Sequential recommendation models analyze users’ historical interactions to predict the next item they will en gage with. In order to better capture users’ dynamic interest preferences, most ...

Anyone who has searched for a single item in any of the commonly available satellite images available online today understands its comparison to the “needle in a haystack” adage. Zooming up close ...