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 ...

Cryptography secures communication in banking, messaging, and blockchain. Good algorithms (AES, RSA, ECC, SHA-2/3, ChaCha20) are secure, efficient, and widely trusted. Bad algorithms (DES, MD5, SHA-1, ...

The modern internet is ruled by algorithms. When you boot up Instagram, for example, what you see in your feed is strategically sorted by the app's AI based on your past activity to keep you engaged ...

This repository provides Python implementations of two fundamental search algorithms: Sequential Search and Binary Search. It includes detailed and easy-to-understand code for both algorithms, ...

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.

This important study addresses key assumptions underlying current models of the formation of value-based decisions. The authors provide convincing evidence that the subjective values human ...

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 ...