Pina Picierno lascia il Pd: "La casa dei riformisti non c'è più. Non si può essere ambigui con fascismo putiniano ed estremismi".

La vicepresidente del Parlamento Ue aderisce al Partito Democratico Europeo guidato da Sandro Gozi, entrando così nel gruppo Renew Europe.

https://www.adnkronos.com/politica/pina-picierno-pd-lascia-elly-schlein-attacco_3SMqN1prPthSow4O9ULTfG

#Picierno #PinaPicierno #PD #PartitoDemocratico #PDE #PartitoDemocraticoEuropeo #RenewEurope

AI tackles one of math's most brutal problems: Inverse PDEs
https://phys.org/news/2026-05-ai-tackles-math-brutal-problems.html
https://openreview.net/forum?id=6mFVZSzyev

https://en.wikipedia.org/wiki/Partial_differential_equation

Important math/problem: equation which involves a multivariable function and one or more of its partial derivatives. The function is often thought of as an "unknown" that solves the equation. However, it is often impossible to write down explicit formulas for solutions of partial differential equations ...

#AI #PDE

📢 MOSS Season 2 continues next week Thursday!

🎙️ Speaker: Claudia García (Universidad de Granada, Spain)

🗣️ Talk title: Patterns and equilibria in incompressible fluids

🗓️ Thursday, 9 April 2026 • 🕓 16:00 CEST • Online

A talk on 2D Euler/Navier–Stokes, relative equilibria, and coherent vortex patterns through bifurcation theory.

👉 Scan the QR code in the image to join the mailing list and receive the online access link.

#Mathematics #FluidDynamics #NavierStokes #EulerEquations #PDE

Caudal ¿ecológico? en el Delta del Ebro

https://fed.brid.gy/r/https://arainfo.org/caudal-ecologico-en-el-delta-del-ebro/

I PASSED PDE!!!!!

LETS GOOOOOOOO 😭😭😭😭
(I ONLY GOT 67 THO)

#pde #mathstudent
#cry

This year, Simon Prince, Professor of Computer Science at UCL, published a series of tutorials on ordinary differential equations (ODEs) and stochastic differential equations (SDEs) in machine learning for RBC Borealis. These are intended for readers with no background in these areas and require only basic calculus.

Article 1 describes what ODEs and SDEs are and their applications in machine learning.

https://rbcborealis.com/research-blogs/odes-and-sdes-for-machine-learning

Article 2 describes ODEs, vector ODEs and PDEs and defines associated terminology. They develop several categories of ODE and discuss how their solutions are related to one another. They discuss the necessary conditions for an ODE to have a solution.

https://rbcborealis.com/research-blogs/introduction-ordinary-differential-equations

Article 3 describes methods for solving first-order ODEs in closed form. They categorise ODEs into distinct families and develop a method to solve each family.

https://rbcborealis.com/research-blogs/closed-form-solutions-for-odes

For many ODEs, there is no known closed-form solution.

Article 4 considers numerical methods, which can be used to approximate the solution of any ODE regardless of its tractability.

https://rbcborealis.com/research-blogs/numerical-methods-for-odes

This concludes their treatment of ODEs. In the coming weeks, we will focus on SDEs. They will describe stochastic processes and SDEs, and show how to solve SDEs using either direct stochastic integration or Ito's lemma. They will introduce the Fokker-Planck equation, which transforms a stochastic differential equation into the PDE governing the evolving probability density of the solution. They also consider Andersen's theorem, which allows us to reverse the direction of SDEs.

#ODEs #PDEs #SDEs #ODE #PDE #SDE #Calculus #ML #DL #VectorCalculus #LectureSeries #Tutorials

i hate pde

#math #pde #partialdifferentialequations