Recently, a research team from Dankook University in South Korea proposed a new method that utilizes principles of quantum mechanics to solve causal inference problems. This breakthrough provides a ...

In this paper, we propose an algorithm for solving inequality constrained mini-max optimization problem. In this algorithm, an active set strategy is used together with multiplier method to convert ...

Problem solving using Algorithms Dr Jyotika Pruthi As we are living in the digital era, we enjoy exploring different Android/iOS/Windows apps, web apps on everyday basis.

A simplified form of an algorithm for solving mixed integer linear programmes is presented. It is introduced by considering the geometry of the problem, from which most of the terminology originates.

The Quantum Information Recursive Optimization (QIRO) algorithm developed by MicroAlgo demonstrates significant technical advantages in solving combinatorial optimization problems.

It's not necessarily about what programming language you learn or use. It's about how you approach problem solving.

D-Wave quantum annealers solve problems classical algorithms struggle with The latest claim of a clear quantum supremacy solves a useful problem.

The algorithm works by partitioning an original large problem into a group of subproblems. The D-Wave annealer then iteratively optimizes each subproblem to eventually solve the original larger one.