ABSTRACT: This article examines some of the properties of quasi-Fejer sequences when used in quasi-gradiental techniques as an alternative to stochastic search techniques for optimizing unconstrained ...
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In recent years, advancements in quantum chip technology, such as Willow, have contributed to reducing quantum computation error rates, potentially accelerating the ...
Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one ...
Abstract: Inspired by the search method of harmony search algorithms, we propose an other version of improved harmony search(IHS)algorithm to solve integer programming problems. This paper designs a ...
Genomics is playing an important role in transforming healthcare. Genetic data, however, is being produced at a rate that far outpaces Moore’s Law. Many efforts have been made to accelerate genomics ...
This repository provides a curated collection of solutions to various data structure and algorithm problems implemented in Java, Python, C++, and Go. This repository provides a curated collection of ...
The increasing energy demands of AI pose a significant challenge to sustainability and decarbonization goals. Researchers have discovered a new integer-addition algorithm that could reduce AI's energy ...
Integer Linear Programming (ILP) is the foundation of combinatorial optimization, which is extensively applied across numerous industries to resolve challenging decision-making issues. Under a set of ...
Training and Research Unit/Sciences and Technology, University of Ouahigouya, Mèra, Burkina Faso. Quadratic forms are used in many fields of mathematics: different results for the classification of ...