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TH

Gabriel Peyré ✓

@gabrielpeyre · Paris · joined 19 Mar 2015

@CNRS researcher at @ENS_ULM. One tweet a day on computational mathematics.

102 346Followers
444Following
6 116Posts total
167.6KViews on collected posts

โพสต์ล่าสุด

@gabrielpeyre Very cool 2.8K views · 13 likes · 0 reposts · 0 replies Open on X →
@gabrielpeyre Hey, you should turn this into a coffee-table book 144 views · 2 likes · 0 reposts · 0 replies Open on X →
@gabrielpeyre that’s really amazing 299 views · 1 likes · 0 reposts · 0 replies Open on X →
The Mathematical Nexus brings together 800 animated vignettes and 140 accompanying Python notebooks, encompassing most of the mathematical content I have shared on social media. https://t.co/Of4khUA1Hc https://t.co/SWEk86KJeh
57K views · 605 likes · 114 reposts · 13 replies Open on X →
@gabrielpeyre 👀v2?!? Nice! 172 views · 0 likes · 0 reposts · 0 replies Open on X →
@gabrielpeyre omg is this why u stopped tweeting 224 views · 1 likes · 0 reposts · 0 replies Open on X →
@gabrielpeyre Le Retour du Jedi 278 views · 1 likes · 0 reposts · 1 replies Open on X →
The alpha version of my new book "Optimal Transport for Machine Learners" is out, with in particular an online version with interactive figures https://t.co/xEdZpMXgjx https://t.co/ztzIEsZZyU
38.3K views · 491 likes · 104 reposts · 10 replies Open on X →
Oldies but goldies: A. Brandt, Multi-Level Adaptive Solutions to Boundary-Value Problems, 1977. Introduces the multigrid method, which is the fundamental tool to speed up the convergence of low frequencies for the resolution of PDEs. https://t.co/NiWMOoIe73 https://t.co/A1yhKoCiC
20.9K views · 158 likes · 45 reposts · 5 replies Open on X →
Nonlinearity matters. Linear diffusion (heat) has non-compactly supported solutions. Non-linear diffusion (porous medium) drives dynamics with compactly supported solutions. The porous medium is the simplest case, studied in detail by Otto. https://t.co/rx9jkigoZa https://t.co/ll
0:05
33.4K views · 587 likes · 127 reposts · 3 replies Open on X →
Oldies but goldies: M Eck, T DeRose, T Duchamp, H Hoppe, M Lounsbery, W Stuetzle, Multiresolution analysis of arbitrary meshes, 1995. https://t.co/ATBuQ9LYyC https://t.co/6hpk3SBTbD
14K views · 129 likes · 29 reposts · 1 replies Open on X →

เทียบกับบัญชีขนาดเดียวกัน

4 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 100K–1M ผู้ติดตาม อยู่ที่ค่ามัธยฐานของช่วงผู้ติดตามพอดี.

ยอดดูมัธยฐาน1 531บัญชีนี้5 983ค่ามัธยฐานของ 100K–1M
การเข้าถึง, %1.50%บัญชีนี้1.49%ค่ามัธยฐานของ 100K–1M
การมีส่วนร่วม, %0.88%บัญชีนี้0.93%ค่ามัธยฐานของ 100K–1M
ตัวชี้วัดบัญชีนี้ค่ามัธยฐานของ 100K–1Mอัตราส่วน
ยอดดูมัธยฐานต่อโพสต์1 5315 9830.26×
การเข้าถึง (ยอดดู ÷ ผู้ติดตาม)1.50%1.49%1.00×
อัตราการมีส่วนร่วม0.88%0.93%0.95×

บัญชีอื่นในช่วงนี้ →   เปรียบเทียบกับบัญชีอื่น →   ค่าอ้างอิงเหล่านี้คำนวณอย่างไร →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

14K20 Feb
33.4K21 Feb
20.9K22 Feb
38.3K16 Jun
278
224
172
57K7 Aug
299
1449 Aug
2.8K

Last 11 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.13%20 Feb
2.15%21 Feb
1.00%22 Feb
1.60%16 Jun
0.72%
0.45%
0.00%
1.29%7 Aug
0.33%
1.39%9 Aug
0.47%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.

What the audience does

Likes52.5%1 988 in total
Reposts11.1%419 in total
Replies0.9%33 in total
Quotes0.4%17 in total
Bookmarks35.1%1 327 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

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