Your English writing platform
Discover LudwigExact(59)
In this paper, we aim to find sparse solutions of co-coercive nonlinear complementarity problems (NCPs).
However, it seems that there is a vacant study of sparse solutions for NCPs.
In this paper, we concentrate on finding sparse solutions of co-coercive nonlinear complementarity problems (NCPs).
This step is simultaneous optimization over all outputs with robust sparse solutions.
The problem of identifying sparse solutions for the link structure and dynamics of an unknown linear, time-invariant network is posed as finding sparse solutions x to Ax="b.
The usefulness of the Mangasarian function was demonstrated in finding sparse solutions of underdetermined linear systems (see [22]).
Figure 4 Sparse solutions of binary classifier for test samples: object (a), background (b), and outlier (c).
From Table 1, we can see that the STP algorithm is effective to find the sparse solutions of LCPs.
Then, the average value of five sparse solutions β is used to make a decision for y.
One big advantage of the LASSO algorithm is that it promotes sparse solutions irrespective of the particular noise distribution.
The SDP can also be cast as an ℓ1‐convex program which has recently been extensively studied and often yields sparse solutions.
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