So, you’re looking to get better at coding with Python, and maybe you’ve heard about LeetCode. It’s a pretty popular place to practice coding problems, especially if you’re aiming for tech jobs.

In this potentially useful study, the authors employ concepts and algorithms associated with induced subgraph in graph theory to automate several key but non-trivial steps in the development of coarse ...

Aqarios' platform Luna v1.0 marks a major milestone in quantum optimization. This release significantly improves usability, performance, and real-world applicability by introducing FlexQAOA, a hybrid ...

Quantum computing offers new heuristics for combinatorial problems. With small- and intermediate-scale quantum devices becoming available, it is possible to implement and test these heuristics on ...

This repository contains a set of 1787 feasible instances for the 0-1 Knapsack Problem with Group Fairness. The instances are in folder instances and the generator used to create them is in folder ...

Abstract: Knapsack problem is a classical optimization problem in computer science and programming. Knapsack problem main objective is to solve how much the maximum profit can be carried with the ...

Plants are a rich source of bioactive compounds and a number of plant-derived antiplasmodial compounds have been developed into pharmaceutical drugs for the prevention and treatment of malaria, a ...

This is guaranteed to be a valid cut of the LP relaxation of an integer programming problem. We use the Python implementation of CPLEX, to get the final tableau. We formulate the problem in standard ...

Uncertainties are widespread in the optimization of process systems, such as uncertainties in process technologies, prices, and customer demands. In this paper, we review the basic concepts and recent ...