The library sorting problem is used across computer science for organizing far more than just books. A new solution is less than a page-width away from the theoretical ideal. Computer scientists often ...

Conventional quantum algorithms are not feasible for solving combinatorial optimization problems (COPs) with constraints in the operation time of quantum computers. To address this issue, researchers ...

The proposed algorithm combines variational scheduling with post-processing to achieve near-optimal solutions to combinatorial optimization problems with constraints within the operation time of ...

1 Department of Business Administration, University of Patras, Patras, Greece. 2 Department of Digital Systems, University of the Peloponnese, Sparta, Greece. While formulating real-world LP problems, ...

Can we ever really trust algorithms to make decisions for us? Previous research has proved these programs can reinforce society’s harmful biases, but the problems go beyond that. A new study shows how ...

Numerous research studies have been carried out to discover optimal or best trading rules based on technical indicators in different applications for problems using individual approaches, such as ...

This repository provides a minimum working example to illustrate potential advantages of the Gauss-Newton-based decomposition approach presented in [1] for a numerical case study of Mixed-Integer ...

When quantum computers become powerful enough, they could theoretically crack the encryption algorithms that keep us safe. The race is on to find new ones. Tech Review Explains: Let our writers ...

Abstract: It is generally observed that students always find the difficulty in understanding and studying the algorithms of any course. Algorithm part of any course can be taught using a flowchart ...