Research team debuts the first deterministic streaming algorithms for non-monotone submodular maximization, delivering superior approximation ratios with minimal memory and real-time throughput on ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

Getting design and engineering teams on the same page about what digital product to create and how to build it continues to be a challenge. A lot of companies find themselves dealing with scattered ...

If you want to accentuate the importance of a problem, it seems sensible to explain how prevalent it is. Lots of people are at risk of Alzheimer’s disease. Lots of women carry a gene that makes them ...

I hope this message finds you well. After reviewing the README, I noticed that the Knapsack Problem has not yet been implemented in C++. I would like to take on this task and contribute the ...

Elon Musk said Jack Dorsey was right about social media algorithms. On Wednesday, Musk highlighted a video of Dorsey talking about the free speech debate. Dorsey envisioned “a marketplace of ...

This repository contains code used in the paper, "Solving 0–1 Knapsack Problems Using Sine-Cosine Algorithm". The Sine Cosine Algorithm (SCA), developed by Seyedali Mirjalili [1], belongs to the class ...

Presents corrections to the paper, (Corrections to “Enhancing Knapsack-Based Financial Portfolio Optimization Using Quantum Approximate Optimization Algorithm”).

Abstract: This is a research project on using Genetic Algorithm to solve 0-1 Knapsack Problem. Knapsack problem is a combinational optimization problem. Given a set of items, each with a weight & ...