Learn how to approximate the integral of a function using the Reimann sum approximation. Reimann sum is an approximation of the area under a curve or between two curves by dividing it into multiple ...

Department of Engineering Technology, Savannah State University, Savannah, GA, USA. Our analysis reveals that most claimed applications of Grover’s algorithm fall into one of several categories: Those ...

Graph cover problems form a critical area within discrete optimisation and theoretical computer science, addressing the challenge of selecting subsets of vertices (or edges) that satisfy predetermined ...

Abstract: Quantum walk-based search algorithms have demonstrated an asymptotic quadratic speedup compared to classical search methods. Formulating a generic search problem as a (quantum) search over a ...

The code within this repository implements a quantum algorithm for solving the subset sum problem, which is stated as follows: Some authors are only concerned with whether or not such a subset exists, ...

The Meet in the Middle approach is an optimization technique for solving problems like the Subset Sum Problem, particularly when n is around 30–40. It reduces time complexity from O(2ⁿ) to O(2ⁿ/²), ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Antimicrobial peptides (AMPs) have emerged as a promising alternative to conventional ...

Abstract: Given a multiset of n positive integers and a target sum S, the subset sum problem is to find a subset such that the sum of its elements is as close as possible to S without exceeding S. We ...

ABSTRACT: In this paper, we investigate the convergence of the generalized Bregman alternating direction method of multipliers (ADMM) for solving nonconvex separable problems with linear constraints.