AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
We have 2 of 82 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
A polynomial-time approximation algorithm with approximation factor strictly better than $1-1/e$ for any set system with linear 2-shallow cell complexity and any set system that can be decomposed into a constant number of such set systems is presented.
This approach integrates a classic grid-based partition framework with a novel charging analysis that controls the cost of structure-sensitive offline routines within each cell, to perform a global aggregation of the update time, by circumventing the worst-case costs associated with individual cell updates.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.