#NumericalIntegration

Live, measured metrics for the hashtag #NumericalIntegration from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

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Own #numericalintegration

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.

$5.00/ year · 20-character #name
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
4
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 4
0
Avg reactions / post
Mastodon · last 4
—
Reddit posts / month
Reddit search
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Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mas.to (Mastodon public tags API) · fetched 2026-11-05 13:59 UTC
0
10-30
0
10-31
0
11-01
0
11-02
0
11-03
0
11-04
0
11-05

0 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 2026-11-05 13:59 UTC

No related tags with measured usage found for #numericalintegration.

Live pulse

measured · mas.to (Mastodon tag timeline) · fetched 2026-11-05 13:59 UTC

Everything below is measured over the latest 4 public posts (spanning ~40524 hours).

Top of the latest posts

  • Alright, future engineers! **Trapezoidal Rule:** Approximates integrals by summing areas of trapezoids under the curve. Ex: `Area ≈ h/2 * (f(x0) + f(xn) + 2*sum(f(xi)))`. Pro-Tip: More segments (smaller 'h') = better accuracy! #NumericalInt

    kipriyanovich@[email protected]♥ 0↻ 02026-04-09 07:23 UTCView post →
  • Trapezoidal Rule: Estimates definite integrals by approximating the area under a curve with trapezoids. Ex: For one interval, Area ≈ h/2 * (f(a) + f(b)). Pro-Tip: Smaller step sizes (more trapezoids) = significantly better accuracy! #Numeri

    kipriyanovich@[email protected]♥ 0↻ 02026-03-30 07:28 UTCView post →
  • @chrisrackauckas The excellent blog post above explains in detail why implicit ODE solvers are considered more robust than explicit ODE solvers (because they do better on linear problems) and why this is NOT true for all problems (roughly s

    Jitse Niesen@[email protected]♥ 0↻ 02025-09-05 09:47 UTCView post →

#numericalintegration across platforms

every network with a public tag surface

Follow #numericalintegration 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/numericalintegration