Abstract: This paper discusses formulations and algorithms which allow a number of agents to collectively solve problems involving both (non-convex) minimization and (concave) maximization operations.

Learn how to calculate the maximum projectile range using Python functions. This tutorial demonstrates step-by-step coding techniques to simulate projectile motion, optimize range, and understand ...

Abstract: Unlike previous contributions that primarily investigate sum-rate maximization, this work focuses on maximizing fairness among multiple users in a Beyond-Diagonal Reconfigurable Intelligent ...

NVIDIA's GPU-accelerated cuOpt engine discovers new solutions for four MIPLIB benchmark problems, outperforming CPU solvers with 22% lower objective gaps. NVIDIA's cuOpt optimization engine has found ...

In modern logistics, combining traditional trucks with drones can significantly reduce delivery times. The truck acts as a moving launchpad, performing deliveries ...

This repository demonstrates advanced GPU programming techniques, focusing on the design, optimization, and integration of custom CUDA kernels into high-performance Python applications. It serves as a ...

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