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Abstract: The multi-commodity flow problem plays an important role in network optimization, routing, and service scheduling. With the network partitioning and the intermittent connectivity, the ...

Abstract: We study the maximum flow problem (MFP) employing the concepts of Recurrent Neural Networks (RNN)s. The aim of the present attempt is to find a solution for MFP utilizing projection RNN ...

Years back, when a small website called out for product-review editors. I leapt at the opportunity: I’d just wrapped up a four-year stint as a systems supplier. That experience provided the ...

Scientists have long known the mental and creative benefits of the flow state, in which total absorption in an activity banishes anxiety. But what causes it, and how can we achieve it? As a ...

Have you ever lost all sense of space and time when redecorating a room? How about being so focused while playing an instrument that the worries that weighed you down a minute ago just evaporated?

In 2022, a team of computer scientists presented a groundbreaking algorithm for the maximum flow problem: How does one transport the most supplies from a source node to a sink node in a network while ...

Network robustness is the ability of a network to maintain a certain level of structural integrity and its original functions after being attacked, and it is the key to whether the damaged network can ...

Werner Heisenberg won the 1932 Nobel Prize for helping to found the field of quantum mechanics and developing foundational ideas like the Copenhagen interpretation and the uncertainty principle. The ...

Quantum annealing algorithms belong to the class of metaheuristic tools, applicable for solving binary optimization problems. Hardware implementations of quantum annealing, such as the quantum ...