We use heuristics to solve computationally difficult problems where optimal solutions are too expensive to deploy, hard to manage, or otherwise inefficient. Our prior work, MetaOpt, shows many of the ...

Some algorithms solve problems. This one changed civilization. From guiding satellites to securing your bank account, its influence reaches every corner of technology. It started with a simple insight ...

What would you like to Propose? I propose adding a clean and optimized implementation of Kruskal’s Minimum Spanning Tree (MST) algorithm using Union–Find (Disjoint Set Union - DSU) data structure to ...

Kruskal’s algorithm finds a Minimum Spanning Tree (MST) by building it edge by edge, always choosing the cheapest edge that doesn’t create a cycle. Sorting all edges in the graph from smallest weight ...

1 School of Management, University of Shanghai for Science and Technology, Shanghai, China 2 Institute of Mathematical Sciences ICMAT-CSIC, Madrid, Spain In the open capacitated location-routing ...

ABSTRACT: In this paper, we primarily investigate several exact solutions of the (2 + 1)-dimensional KdV equation and summarize the trajectory equations after collisions between these solutions. Using ...

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 ...

Children as young as 4 years old are capable of finding efficient solutions to complex problems, such as independently inventing sorting algorithms developed by computer scientists. The scientists ...

You probably don’t need more time. By Jancee Dunn When I look back on all the major decisions I’ve dithered over, I could scream. It took me a decade to commit to becoming a parent. I wavered for a ...

Uncertainty seems to be everywhere right now. Uncertainty about the economy, politics, careers, weather, and wars, to name just a few. Doubt sets in anytime we face a decision with incomplete or ...