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In this paper, we formulate the construction of sparse binary measurement matrices from an optimization standpoint.
Using standard industrial processes of photo lithography, e-beam lithography, and thin film deposition, we have made micro-/nanoscale TFTC arrays in 3 × 3, 3 × 6, 5 × 5, 8 × 8, and 10 × 10 matrices from an area of 1 × 2 cm to an area of 5 × 5 μm.
A time domain method for the extraction of the structural system matrices (mass, damping and stiffness matrices) from an identified state-space system is proposed in this paper using the combined measurements of displacement, velocity and acceleration (DVA) together with the input excitations.
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Contact matrices from a synthetic model.
By exploiting the block Toeplitz channel matrix structure, we solve the channel product matrices from a series of decoupled linear equations obtained from the covariance matrix of the received data.
Estimating rates from Homo-chimp/outgroup coding-DNA alignments could provide additional insight and so would estimating non-genic and genic 64×4 and 4×4 matrices from a variety of internal and terminal branches of the mammalian phylogeny.
By considering recombination of two matrices from a parent, we evolved GRN to achieve a higher fitness.
Next, we obtained unpaired LOH profile matrices from a cancer cell line dataset published by the Sanger institute (Bignell et al., 2010).
Further mathematical details of this PEB approach are given in Appendix A. In this section, we describe a generic method to derive prior covariance components (the Np × Np matrices ) from a 3D volume derived from the fMRI data.
We present a dedicated algorithm for the nonnegative factorization of a correlation matrix from an application in financial engineering.
The deformation gradient tensor F t, Δt) describes the deformation of the matrix from an initial configuration at time t to a new configuration at time t+Δt.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com