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.

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.

A group of computer gamers are making habit of outshining scientists at their own game. Most of them have no scientific background, but they have a track record of cracking tough scientific ...

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 ...

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

The algorithm does not require matrix inversion, and may be used when either or both matrices are singular. Our method is a generalization of Rutishauser's LR-method [20] for the standard eigenvalue ...

The researchers are seeking to address these concerns and make QKD viable by introducing a new metric called "maximum number of affected requests" (maxNAR) to measure worst-case attack impact, then ...