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Jul 2026

BC-ADMM: A parallel decoupled non-convex constrained optimizer for robot applications

Non-convex constrained optimizations are ubiquitous in robotic applications such as multi-agent navigation, UAV trajectory optimization, and soft robot simulation. As a common feature in these problems, the associated non-convex constraints, including collision constraints, inversion-free constraints, and strain limits...

Zherong Pan, Kui Wu · 0 citations
Book Open access Jul 2026

Fluid Simulation with the Lattice Boltzmann Method

Over the past decade, the Lattice Boltzmann Method (LBM) has matured into a leading framework for high-performance fluid simulation across research and industry alike. Its appeal rests on a set of properties that align unusually well with the demands of modern computing: collision and streaming operators that are stric...

Wei Li, Chaoyang Lyu, Mengyun Liu et al. · 0 citations

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