Zobrazeno 1 - 10
of 1 270
pro vyhledávání: '"Costa, Pedro P."'
Many recent investigations conclude, based on asymptotic complexity analyses, that quantum computers could accelerate combinatorial optimization (CO) tasks relative to a purely classical computer. However, asymptotic analysis alone cannot support a c
Externí odkaz:
http://arxiv.org/abs/2412.13035
Publikováno v:
Int. J. Multiph. Flow 179 (2024) 104931
Suspensions of finite-size solid particles in a turbulent pipe flow are found in many industrial and technical flows. Due to the ample parameter space consisting of particle size, concentration, density and Reynolds number, a complete picture of the
Externí odkaz:
http://arxiv.org/abs/2411.10162
We introduce CaLES, a GPU-accelerated finite-difference solver designed for large-eddy simulations (LES) of incompressible wall-bounded flows in massively parallel environments. Built upon the existing direct numerical simulation (DNS) solver CaNS, C
Externí odkaz:
http://arxiv.org/abs/2411.09364
Autor:
Morales, Mauro E. S., Pira, Lirandë, Schleich, Philipp, Koor, Kelvin, Costa, Pedro C. S., An, Dong, Lin, Lin, Rebentrost, Patrick, Berry, Dominic W.
Solving linear systems of equations plays a fundamental role in numerous computational problems from different fields of science. The widespread use of numerical methods to solve these systems motivates investigating the feasibility of solving linear
Externí odkaz:
http://arxiv.org/abs/2411.02522
Autor:
Costa, Pedro, Leithardt, Valderi
Publikováno v:
IEEE Latam Transactions 2024
This study addresses the critical issue of ensuring data security and efficiency in interconnected devices, especially in IoT environments. The objective is to design and implement a model using cryptographic algorithms to enhance data security in 5G
Externí odkaz:
http://arxiv.org/abs/2407.16395
In this work we propose a novel method to ensure important entropy inequalities are satisfied semi-discretely when constructing reduced order models (ROMs) on nonlinear reduced manifolds. We are in particular interested in ROMs of systems of nonlinea
Externí odkaz:
http://arxiv.org/abs/2407.12627
The impact of intrinsic compressibility effects -- changes in fluid volume due to pressure variations -- on high-speed wall-bounded turbulence has often been overlooked or incorrectly attributed to mean property variations. To unambiguously quantify
Externí odkaz:
http://arxiv.org/abs/2406.07649
Publikováno v:
J. Fluid Mech. 988 (2024) A47
In particle-laden turbulent wall flows, lift forces can influence the near-wall turbulence. This has been recently observed in particle-resolved simulations, which, however, are too expensive to be used in upscaled models. Instead, point-particle sim
Externí odkaz:
http://arxiv.org/abs/2404.05346
Publikováno v:
Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track. ECML PKDD 2024. Lecture Notes in Computer Science(), vol 14949. Springer, Cham
Task offloading, crucial for balancing computational loads across devices in networks such as the Internet of Things, poses significant optimization challenges, including minimizing latency and energy usage under strict communication and storage cons
Externí odkaz:
http://arxiv.org/abs/2403.17637
The solution of large systems of nonlinear differential equations is needed for many applications in science and engineering. In this study, we present three main improvements to existing quantum algorithms based on the Carleman linearisation techniq
Externí odkaz:
http://arxiv.org/abs/2312.09518