Results 11 to 20 of about 187,054 (294)

On the Compressibility of Tensors [PDF]

open access: yesSIAM Journal on Matrix Analysis and Applications, 2021
Tensors are often compressed by expressing them in low rank tensor formats. In this paper, we develop three methodologies that bound the compressibility of a tensor: (1) Algebraic structure, (2) Smoothness, and (3) Displacement structure. For each methodology, we derive bounds on storage costs that partially explain the abundance of compressible ...
Tianyi Shi, Alex Townsend
openaire   +3 more sources

Analytical and numerical analysis of nonisothermal compressible rarefied gas flow between parallel plates [PDF]

open access: yesTheoretical and Applied Mechanics, 2023
When dimensions of the flow domain become small, such as in the micro-electro-mechanical systems (MEMS) and nano-electro-mechanical systems (NEMS), rarefaction effects become more prominent.
Vulićević Petar V.   +2 more
doaj   +1 more source

Graphene meta-aerogels: When sculpture aesthetic meets 1D/2D composite materials

open access: yesNano Research Energy, 2022
The engraving technique has grown in parallel with our human civilization, along with the targeted materials evolving from stone and metals to wood. Benefiting from the blossom of nanotechnology, the bulky nicking tools have downsized themselves to a ...
Miao Zhang, Jiayin Yuan
doaj   +1 more source

Sonic Eddy Model of the Turbulent Boundary Layer

open access: yesFluids, 2022
The effects of Mach number on the skin friction and velocity fluctuations of the turbulent boundary layer are considered through a sonic eddy model. Originally proposed for free shear flows, the model assumes that the eddies responsible for momentum ...
Paul Dintilhac, Robert Breidenthal
doaj   +1 more source

A Compressible Turbulence Model for Pressure—Strain

open access: yesFluids, 2022
This work focuses on the performance and validation of compressible turbulence models for the pressure-strain correlation. Considering the Launder Reece and Rodi (LRR) incompressible model for the pressure-strain correlation, Adumitroaie et al., Huang et
Hechmi Khlifi, Adnen Bourehla
doaj   +1 more source

Compressible two-dimensional turbulence: cascade reversal and sensitivity to imposed magnetic field

open access: yesNew Journal of Physics, 2023
We study the impact of compressibility on two-dimensional turbulent flows, such as those modeling astrophysical disks. We demonstrate that the direction of cascade undergoes continuous transition as the Mach number Ma increases, from inverse at Ma  = 0 ...
Itzhak Fouxon   +2 more
doaj   +1 more source

A Revisit of Implicit Monolithic Algorithms for Compressible Solids Immersed Inside a Compressible Liquid

open access: yesFluids, 2021
With the development of mature Computational Fluid Dynamics (CFD) tools for fluids (air and liquid) and Finite Element Methods (FEM) for solids and structures, many approaches have been proposed to tackle the so-called Fluid–Structure Interaction or ...
Sheldon Wang
doaj   +1 more source

Compression-Based Compressed Sensing [PDF]

open access: yesIEEE Transactions on Information Theory, 2017
Modern compression algorithms exploit complex structures that are present in signals to describe them very efficiently. On the other hand, the field of compressed sensing is built upon the observation that "structured" signals can be recovered from their under-determined set of linear projections.
Farideh Ebrahim Rezagah   +3 more
openaire   +2 more sources

Uniform regularity for the isentropic compressible magneto-micropolar system

open access: yesMathematical Modelling and Analysis, 2021
In this paper, we are concerned with the uniform regularity estimates of smooth solutions to the isentropic compressible magneto-micropolar system in . Under the assumption that , and by applying the classic bilinear commutator and product estimates, the
Jishan Fan, Peng Wang, Yong Zhou
doaj   +1 more source

From compression to compressed sensing [PDF]

open access: yes2013 IEEE International Symposium on Information Theory, 2013
Can compression algorithms be employed for recovering signals from their underdetermined set of linear measurements? Addressing this question is the first step towards applying compression algorithms for compressed sensing (CS). In this paper, we consider a family of compression algorithms $\mathcal{C}_r$, parametrized by rate $r$, for a compact class ...
Shirin Jalali, Arian Maleki
openaire   +3 more sources

Home - About - Disclaimer - Privacy