Your English writing platform
Discover LudwigSuggestions(5)
Exact(3)
The aim of this paper is to study a new method for solving the Euclidean distance matrix problem and compare it with other older methods [1].
Optimality conditions for a local minimizer of the spectral abscissa are provided and proved for both the affine matrix problem and the output feedback control problem.
The method is illustrated for a small size matrix from an affine matrix problem and is then applied to large matrices actually arising from more sophisticated control problems used in the design of the Boeing 767 jet and a nuclear powered turbo-generator.
Similar(57)
In the previous studies, this atomic size effect was commonly modeled as an "inclusion-in-matrix" problem and glass formation was usually linked to a threshold volume strain in "matrix" or solvent atoms.
However, conventional method suffers from high complexity and singular matrix problem.
Figure 1 Comparing the line searches and CPU time of the three methods for the Euclidean distance matrix problem.
We consider a bipartite version of the color degree matrix problem.
Optimality in the matrix problem suggested the sum of squared logarithms inequality.
In this section we consider a different approach to the Euclidean distance matrix problem (2.2).
A gradient descent-based algorithm is derived for solving the optimal sensing matrix problem.
Therefore, the signature matrix problem is a special type of SIEP.
More suggestions(2)
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com