#linearization
Live, measured metrics for the hashtag #linearization from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #linearization
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · mas.to (Mastodon public tags API) · fetched 2026-10-10 11:42 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mas.to (Mastodon public search API) · fetched 2026-10-10 11:42 UTCNo related tags with measured usage found for #linearization.
Live pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-10-10 11:42 UTCEverything below is measured over the latest 2 public posts (spanning ~18242 hours).
Posting hours (UTC)
Languages: German (1) · English (1)
Avg boosts / post: 0
Top of the latest posts
Gleich zu Gast um 16:15 im Sitzungszimmer des Mathematischen Instituts für die #MathematischeGesellschaft #Göttingen: Ioan Marcut von der Universität zu Köln mit "Linearization of Poisson structures" #Mathematik #PoissonGeometry #Linearizat
@davidr OK, for the record #CovarianceMatrix #transformation #linearization #JacobianMatrix #ErrorPropagation #VariancePropagation
What “linearization” means
WikipediaIn mathematics, linearization is finding the linear approximation to a function at a given point. The linear approximation of a function is the first order Taylor expansion around the point of interest. In the study of dynamical systems, linearization is a method for assessing the local stability of an equilibrium point of a system of nonlinear differential equations or discrete dynamical systems. This method is used in fields such as engineering, physics, economics, and ecology.
“Linearization” on Wikipedia (CC BY-SA) →#linearization across platforms
every network with a public tag surfaceFollow #linearization straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/linearization