#數學建模

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

hashtag.org network · sponsored

Own #數學建模

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.

$2,449.80/ year · 4-character #name
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card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
8
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 8
0.1
Avg reactions / post
Mastodon · last 8
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.social (Mastodon public tags API) · fetched 2026-08-22 21:47 UTC
0
08-16
0
08-17
0
08-18
0
08-19
0
08-20
0
08-21
0
08-22

0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · mastodon.social (Mastodon public search API) · fetched 2026-08-22 21:47 UTC

No related tags with measured usage found for #數學建模.

Live pulse

measured · mastodon.social (Mastodon tag timeline) · fetched 2026-08-22 21:47 UTC

Everything below is measured over the latest 8 public posts (spanning ~23703 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: Chinese (Taiwan) (7) · Chinese (1)

Avg boosts / post: 0.5

Top of the latest posts

  • 🚨 如何精確捕捉數據中「消失的結構」？我們的最新研究剛剛在 MDPI的Mathematics期刊上線了！ ​我們開發了一種全新的「可計算分段線性迴歸（CPLR）」模型。我們不再假設世界是線性平滑的，而是讓數據自己告訴我們：轉折點在哪裡？ 接下來讓我簡單說明一下 @academicchatter ​1/4 🧵 #數學建模 #經濟學 #Phillipscurve #Mathematics #economics #modelling

    AI數字分析領航者 :mastodon: AI底層數據建模@aphoebusli♥ 1↻ 22026-03-22 04:12 UTCView post →

  • 🌗 一個公式，揭開 3D 圖形學的神祕面紗 ➤ 從數學投影到螢幕顯像：建構 3D 引擎的底層邏輯 ✤ https://www.youtube.com/watch?v=qjWkNZ0SXfo 這段影片深入淺出地解析了 3D 圖形渲染的核心邏輯，將看似複雜的電腦視覺轉化為直觀的數學運算。作者的核心觀點在於，只要掌握了特定的投影公式，就能將三維空間中的物體精準地映射到二維螢幕上。透過結合旋轉矩陣（Rotation Matrix）與模型數據處理，開發者得以從零開始構建出具有深度感的

    GripNews@GripNews♥ 0↻ 02026-01-04 16:22 UTCView post →

  • 🌗 寶可夢隊伍最佳化：運用混合整數規劃打造最強戰隊 ➤ 當科學家決定「過度設計」他的童年回憶 ✤ https://nchagnet.pages.dev/blog/pokemon-team-optimization/ 作者回憶起童年對《寶可夢》的熱愛，但身為一名科學家，他在成年後重新接觸這款遊戲時，忍不住運用專業技能進行「數值極大化」（Min-maxing）。他不滿足於隨意組隊，而是將隊伍組建視為一個典型的工業運籌學問題，透過「混合整數規劃」（MIP）來尋找最優解。這篇文章詳

    GripNews@GripNews♥ 0↻ 02026-01-01 09:18 UTCView post →

#數學建模 across platforms

every network with a public tag surface

Follow #數學建模 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.

X (Twitter) ↗Instagram ↗TikTok ↗Facebook ↗LinkedIn ↗YouTube ↗Threads ↗Bluesky ↗Mastodon ↗Reddit ↗Pinterest ↗Tumblr ↗

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/數學建模