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

Neueste Beiträge

Gabriel Peyré ✓@gabrielpeyre9 Aug

@gabrielpeyre Very cool 2.8K views · 13 likes · 0 reposts · 0 replies Open on X →

Gabriel Peyré ✓@gabrielpeyre9 Aug

@gabrielpeyre Hey, you should turn this into a coffee-table book 144 views · 2 likes · 0 reposts · 0 replies Open on X →

Gabriel Peyré ✓@gabrielpeyre7 Aug

@gabrielpeyre that’s really amazing 299 views · 1 likes · 0 reposts · 0 replies Open on X →

Gabriel Peyré ✓@gabrielpeyre7 Aug

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 →

Gabriel Peyré ✓@gabrielpeyre16 Jun

@gabrielpeyre 👀v2?!? Nice! 172 views · 0 likes · 0 reposts · 0 replies Open on X →

Gabriel Peyré ✓@gabrielpeyre16 Jun

@gabrielpeyre omg is this why u stopped tweeting 224 views · 1 likes · 0 reposts · 0 replies Open on X →

Gabriel Peyré ✓@gabrielpeyre16 Jun

@gabrielpeyre Le Retour du Jedi 278 views · 1 likes · 0 reposts · 1 replies Open on X →

Gabriel Peyré ✓@gabrielpeyre16 Jun

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 →

Gabriel Peyré ✓@gabrielpeyre22 Feb 2025

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 →

Gabriel Peyré ✓@gabrielpeyre21 Feb 2025

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 →

Gabriel Peyré ✓@gabrielpeyre20 Feb 2025

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 →

Im Vergleich zu Konten gleicher Größe

4 Beiträge aus den letzten 90 Tagen, verglichen mit der Größenklasse 100K–1M Follower. genau im Median seiner Follower-Klasse.

Medianaufrufe1 531dieses Konto5 983Median für 100K–1M

Reichweite, %1.50%dieses Konto1.49%Median für 100K–1M

Interaktion, %0.88%dieses Konto0.93%Median für 100K–1M

Kennzahl	Dieses Konto	Median für 100K–1M	Verhältnis
Medianaufrufe pro Beitrag	1 531	5 983	0.26×
Reichweite (Aufrufe ÷ Follower)	1.50%	1.49%	1.00×
Interaktionsrate	0.88%	0.93%	0.95×

Weitere Konten dieser Größe → Mit einem anderen Konto vergleichen → Wie diese Vergleichswerte entstehen →

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.

Neueste Beiträge

Im Vergleich zu Konten gleicher Größe

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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