#linearalgebra
Live, measured metrics for the hashtag #linearalgebra from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #linearalgebra
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Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-09-13 15:56 UTC8 uses by 4 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-09-13 15:56 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-09-13 15:56 UTCEverything below is measured over the latest 40 public posts (spanning ~960 hours).
Posting hours (UTC) — busiest: 15:00
Languages: English (37) · Russian (2) · Portuguese (1)
Avg boosts / post: 1
Top of the latest posts
Alright, future engineers! **Determinant:** Scalar value from a square matrix, tells invertibility & volume scaling. Ex: For `[[a,b],[c,d]]`, `det = ad-bc`. Pro-Tip: `det = 0` means no inverse & `Ax=b` has no unique solution! Check this fir
Alright, future engineers! **Linear Combination:** A new vector formed by scaling and adding existing vectors. Ex: `2v + 3w` or `c1*v1 + c2*v2`. Pro-Tip: If a vector is in the 'span' of others, it's a linear combination of them! #LinearAlge
Seja \( A \in M_2(\mathbb{R}) \) uma matriz com autovalores reais \( \lambda_1, \lambda_2 \). \( A \) possui autovetores ortogonais se, e somente se, existe um ângulo \( \theta_0 \) tal que a parte anti-simétrica da matriz conjugada \( M(\t
#linearalgebra across platforms
every network with a public tag surfaceFollow #linearalgebra 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/linearalgebra