#計算複雜性理論
Live, measured metrics for the hashtag #計算複雜性理論 from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #計算複雜性理論
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 · fosstodon.org (Mastodon public tags API) · fetched 2026-08-24 04:33 UTC0 uses by 0 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 2026-08-24 04:33 UTCNo related tags with measured usage found for #計算複雜性理論.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-24 04:33 UTCEverything below is measured over the latest 1 public posts.
Posting hours (UTC)
Languages: Chinese (Taiwan) (1)
Avg boosts / post: 0
Used together with
No co-used tags in the sample.
Top of the latest posts
🌘 計算拓撲透過範疇框架的同調證明:P ≠ NP ➤ 運用範疇論與拓撲學,揭示計算複雜性的深層結構 ✤ https://arxiv.org/abs/2510.17829 本研究開創性地運用同調代數方法,並結合範疇論,來證明 P 類別與 NP 類別的區分。作者建構了一個「計算範疇」,將計算問題與其歸約納入統一的框架。透過發展「計算同調論」,為每個問題 L 建立鏈複形 C•(L),其同調羣 Hn(L) 能夠捕捉計算過程的拓撲不變量。研究表明,P 類問題的計算同調是平凡的(Hn(
#計算複雜性理論 across platforms
every network with a public tag surfaceFollow #計算複雜性理論 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/計算複雜性理論