Results 71 to 80 of about 2,237,660 (304)
Hyperspectral target detection (HTD) methods aim to exploit the abundant hyperspectral information to distinguish the key target pixels from multifarious background pixels.
Tan Guo +5 more
doaj +1 more source
Relative-Error $CUR$ Matrix Decompositions [PDF]
Many data analysis applications deal with large matrices and involve approximating the matrix using a small number of ``components.'' Typically, these components are linear combinations of the rows and columns of the matrix, and are thus difficult to interpret in terms of the original features of the input data.
Petros Drineas +2 more
openaire +3 more sources
Adaptive Foam 3D Printing of Ultralight and Multifunctional Materials
Adaptive foam 3D printing, enabled by expandable microspheres, imparts cellular structures to thermoplastic and thermosetting polymers, manufactured through a variety of processes including fused filament fabrication, direct ink writing, digital light processing, and inkjet printing.
Nariman Rajabifar, Amir Ameli
wiley +1 more source
Entropy‐Driven Design of Low‐Melting‐Point Alloys via Compositionally Complex Strategy
Conventional low‐melting‐point alloys (LMPAs) are limited by a narrow compositional space and inherent property trade‐offs. This review presents an entropy‐driven design strategy that overcomes these limitations, ushering in a new class of low‐melting‐point compositionally complex alloys (LMCCAs).
Yinghui Shang +6 more
wiley +1 more source
An Improved Coordinated Multi-point Multi-user Precoding Algorithm
In Long Term Evolution-Advanced ( LTE-A) system,existing coordinated multi-point ( CoMP) multiuser precoding algorithm can not suppress multi-user,intra-user and noise interference at the same time and its computational complexity is high.
SUN Zeng-you, LIU Ling-yu
doaj +1 more source
Sparse and Low-Rank Matrix Decompositions [PDF]
Abstract Suppose we are given a matrix that is formed by adding an unknown sparse matrix to an unknown low-rank matrix. Our goal is to decompose the given matrix into its sparse and low-rank components. Such a problem arises in a number of applications in model and system identification, but obtaining an exact solution is NP-hard in general.
Venkat Chandrasekaran +3 more
openaire +4 more sources
Investigating the Low‐Temperature Phase Stability of the Binary Ta–W System
Atomistic simulations show that the binary Ta–W system forms ordered intermetallic phases, B2‐TaW and D03‐TaW3, as 0 K ground states. Configurational entropy, however, lowers the free energy of the disordered bcc solid solution, which becomes the stable phase above about 400 K.
Klemens Lechner +7 more
wiley +1 more source
The authors extend some recent results of Di Fiore and Zellini [Linear Algebra Appl., to appear], obtaining new classes of formulas for the displacement operator-based decomposition of matrices. It is shown how an arbitrary matrix can be expressed as the
Bozzo, E +4 more
core +1 more source
Matrix algebras with Multiplicative Decomposition Property [PDF]
We consider the Multiplicative Decomposition Property (the multiplicative analogue of the Riesz Decomposition Property) for entry-wise ordered matrix algebras over the reals. We characterize for which matrix pairs such a decomposition exists and use this
Julio C. Urenda +3 more
core +1 more source
matrix-toolbox/CHM_scripts: Sinkhorn Algorithm
Several CHM matrices (M-scripts) obtained by the Sinkhorn Algorithm are ...
matrix-toolbox
core +1 more source

