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  1. Conference "Pseudodifferential Techniques in Singular Analysis" @migoettingen @unigoettingen

    August 31st to September 4th

    pseudo-singular-analysis.githu

    If you are interested, the registration is still open.

    #Mathematics
    #Conference
    #Analysis
    #SingularAnalysis
    #PDE

  2. Conference "Pseudodifferential Techniques in Singular Analysis" @migoettingen @unigoettingen

    August 31st to September 4th

    pseudo-singular-analysis.githu

    If you are interested, the registration is still open.

    #Mathematics
    #Conference
    #Analysis
    #SingularAnalysis
    #PDE

  3. Conference "Pseudodifferential Techniques in Singular Analysis" @migoettingen @unigoettingen

    August 31st to September 4th

    pseudo-singular-analysis.githu

    If you are interested, the registration is still open.

    #Mathematics
    #Conference
    #Analysis
    #SingularAnalysis
    #PDE

  4. Conference "Pseudodifferential Techniques in Singular Analysis" @migoettingen @unigoettingen

    August 31st to September 4th

    pseudo-singular-analysis.githu

    If you are interested, the registration is still open.

    #Mathematics
    #Conference
    #Analysis
    #SingularAnalysis
    #PDE

  5. Conference "Pseudodifferential Techniques in Singular Analysis" @migoettingen @unigoettingen

    August 31st to September 4th

    pseudo-singular-analysis.githu

    If you are interested, the registration is still open.

    #Mathematics
    #Conference
    #Analysis
    #SingularAnalysis
    #PDE

  6. 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.

    adnkronos.com/politica/pina-pi

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

  7. 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.

    adnkronos.com/politica/pina-pi

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

  8. 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.

    adnkronos.com/politica/pina-pi

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

  9. 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.

    adnkronos.com/politica/pina-pi

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

  10. 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.

    adnkronos.com/politica/pina-pi

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

  11. 📢 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

  12. 📢 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

  13. 📢 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

  14. 📢 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

  15. 📢 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

  16. Surrogate accuracy isn’t the same as verification. When you need credibility, analytical/manufactured solutions act like unit tests.
    We’ve released an updated preprint (SIGS v3): grammar-valid symbolic candidates → latent-manifold exploration → residual-validated refinement (incl. coupled PDE systems).
    For project page click here: oroikono.github.io/sigs-paper-
    #SciML #PDE #NeuroSymbolicAI #eth-ai-center #eth #ai #ml

  17. I PASSED PDE!!!!!

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

    #pde #mathstudent
    #cry

  18. 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.

    rbcborealis.com/research-blogs

    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.

    rbcborealis.com/research-blogs

    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.

    rbcborealis.com/research-blogs

    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.

    rbcborealis.com/research-blogs

    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

  19. 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.

    rbcborealis.com/research-blogs

    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.

    rbcborealis.com/research-blogs

    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.

    rbcborealis.com/research-blogs

    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.

    rbcborealis.com/research-blogs

    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

  20. 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.

    rbcborealis.com/research-blogs

    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.

    rbcborealis.com/research-blogs

    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.

    rbcborealis.com/research-blogs

    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.

    rbcborealis.com/research-blogs

    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

  21. My talk on "A gradient inequality for continuous functions" at the AMS Sectional meeting in St. Louis is scheduled for Sunday, Oct. 19, 2:45. 🧑‍🏫
    #MathConference #RealAnalysis #PDE

  22. My talk on "A gradient inequality for continuous functions" at the AMS Sectional meeting in St. Louis is scheduled for Sunday, Oct. 19, 2:45. 🧑‍🏫
    #MathConference #RealAnalysis #PDE

  23. Belle collaboration avec le Pôle Projets : Modélisation #Mathématique des Systèmes Complexes de #centralesupelec Université #parissaclay.
    J'ai proposé un problème appliqué de modélisation par #PDE et de résolution numérique d'un processus de diffusion d'insectes avec piègeage, issu de mes travaux de recherche.
    J'ai eu le plaisir d'accompagner le travail de Aya Chaieb, Baptiste Petiot, Louis Mudarra et de Lucas Bourret. Utile et enrichissant pour toutes les parties.
    hal.inrae.fr/hal-05084285v1

  24. Belle collaboration avec le Pôle Projets : Modélisation #Mathématique des Systèmes Complexes de #centralesupelec Université #parissaclay.
    J'ai proposé un problème appliqué de modélisation par #PDE et de résolution numérique d'un processus de diffusion d'insectes avec piègeage, issu de mes travaux de recherche.
    J'ai eu le plaisir d'accompagner le travail de Aya Chaieb, Baptiste Petiot, Louis Mudarra et de Lucas Bourret. Utile et enrichissant pour toutes les parties.
    hal.inrae.fr/hal-05084285v1

  25. Belle collaboration avec le Pôle Projets : Modélisation #Mathématique des Systèmes Complexes de #centralesupelec Université #parissaclay.
    J'ai proposé un problème appliqué de modélisation par #PDE et de résolution numérique d'un processus de diffusion d'insectes avec piègeage, issu de mes travaux de recherche.
    J'ai eu le plaisir d'accompagner le travail de Aya Chaieb, Baptiste Petiot, Louis Mudarra et de Lucas Bourret. Utile et enrichissant pour toutes les parties.
    hal.inrae.fr/hal-05084285v1

  26. Belle collaboration avec le Pôle Projets : Modélisation #Mathématique des Systèmes Complexes de #centralesupelec Université #parissaclay.
    J'ai proposé un problème appliqué de modélisation par #PDE et de résolution numérique d'un processus de diffusion d'insectes avec piègeage, issu de mes travaux de recherche.
    J'ai eu le plaisir d'accompagner le travail de Aya Chaieb, Baptiste Petiot, Louis Mudarra et de Lucas Bourret. Utile et enrichissant pour toutes les parties.
    hal.inrae.fr/hal-05084285v1

  27. [Перевод] 79% научных публикаций об AI завышают результат

    Применение AI в науке растет, но результаты его внедрения часто переоценены. Исследования показывают, что 79% публикаций, заявляющих о превосходстве AI, используют некорректные бенчмарки. Это искажает представление о реальном потенциале AI в научном прогрессе.

    habr.com/ru/articles/911800/

    #ии #наука #исследование #машинное+обучение #физика #pde #оптимизация #методология #хайп #deepmind

  28. [Перевод] 79% научных публикаций об AI завышают результат

    Применение AI в науке растет, но результаты его внедрения часто переоценены. Исследования показывают, что 79% публикаций, заявляющих о превосходстве AI, используют некорректные бенчмарки. Это искажает представление о реальном потенциале AI в научном прогрессе.

    habr.com/ru/articles/911800/

    #ии #наука #исследование #машинное+обучение #физика #pde #оптимизация #методология #хайп #deepmind

  29. [Перевод] 79% научных публикаций об AI завышают результат

    Применение AI в науке растет, но результаты его внедрения часто переоценены. Исследования показывают, что 79% публикаций, заявляющих о превосходстве AI, используют некорректные бенчмарки. Это искажает представление о реальном потенциале AI в научном прогрессе.

    habr.com/ru/articles/911800/

    #ии #наука #исследование #машинное+обучение #физика #pde #оптимизация #методология #хайп #deepmind

  30. I'm wondering: #physics makes a lot of use of #periodic functions, in particular it is very useful to solve space-dependent equations in representative volumes with #periodicBoundaryConditions.

    However I've only seen it done with periodicity along orthogonal directions, aligned with a Cartesian frame.

    Do you know of work, e.g. #PDE resolution, in nonrectangular #periodicDomains? E.g., in a #tiled hexagon? (but with a sufficiently generic setting, not exploiting regular hexagon symmetries) Even better if the periodicity parameters themselves are among the unknowns.

    (Maybe I'm completely missing something obvious there, I'm in my first steps towards defining what I want - any random thought on the topic highly welcome!)

    #tiling people?

  31. I'm wondering: #physics makes a lot of use of #periodic functions, in particular it is very useful to solve space-dependent equations in representative volumes with #periodicBoundaryConditions.

    However I've only seen it done with periodicity along orthogonal directions, aligned with a Cartesian frame.

    Do you know of work, e.g. #PDE resolution, in nonrectangular #periodicDomains? E.g., in a #tiled hexagon? (but with a sufficiently generic setting, not exploiting regular hexagon symmetries) Even better if the periodicity parameters themselves are among the unknowns.

    (Maybe I'm completely missing something obvious there, I'm in my first steps towards defining what I want - any random thought on the topic highly welcome!)

    #tiling people?

  32. I'm wondering: #physics makes a lot of use of #periodic functions, in particular it is very useful to solve space-dependent equations in representative volumes with #periodicBoundaryConditions.

    However I've only seen it done with periodicity along orthogonal directions, aligned with a Cartesian frame.

    Do you know of work, e.g. #PDE resolution, in nonrectangular #periodicDomains? E.g., in a #tiled hexagon? (but with a sufficiently generic setting, not exploiting regular hexagon symmetries) Even better if the periodicity parameters themselves are among the unknowns.

    (Maybe I'm completely missing something obvious there, I'm in my first steps towards defining what I want - any random thought on the topic highly welcome!)

    #tiling people?

  33. I'm wondering: #physics makes a lot of use of #periodic functions, in particular it is very useful to solve space-dependent equations in representative volumes with #periodicBoundaryConditions.

    However I've only seen it done with periodicity along orthogonal directions, aligned with a Cartesian frame.

    Do you know of work, e.g. #PDE resolution, in nonrectangular #periodicDomains? E.g., in a #tiled hexagon? (but with a sufficiently generic setting, not exploiting regular hexagon symmetries) Even better if the periodicity parameters themselves are among the unknowns.

    (Maybe I'm completely missing something obvious there, I'm in my first steps towards defining what I want - any random thought on the topic highly welcome!)

    #tiling people?

  34. I'm wondering: #physics makes a lot of use of #periodic functions, in particular it is very useful to solve space-dependent equations in representative volumes with #periodicBoundaryConditions.

    However I've only seen it done with periodicity along orthogonal directions, aligned with a Cartesian frame.

    Do you know of work, e.g. #PDE resolution, in nonrectangular #periodicDomains? E.g., in a #tiled hexagon? (but with a sufficiently generic setting, not exploiting regular hexagon symmetries) Even better if the periodicity parameters themselves are among the unknowns.

    (Maybe I'm completely missing something obvious there, I'm in my first steps towards defining what I want - any random thought on the topic highly welcome!)

    #tiling people?

  35. I have arrived, and given my talk, at the tri-section #MAA meeting
    #PDE #MathConference

  36. I have arrived, and given my talk, at the tri-section #MAA meeting
    #PDE #MathConference

  37. I have arrived, and given my talk, at the tri-section #MAA meeting
    #PDE #MathConference

  38. I have arrived, and given my talk, at the tri-section #MAA meeting
    #PDE #MathConference

  39. I have arrived, and given my talk, at the tri-section #MAA meeting
    #PDE #MathConference

  40. Can anyone recommend a writeup on 1st order linear PDEs which is not written for engineering majors, but for working mathematicians? #PDE #math

  41. Can anyone recommend a writeup on 1st order linear PDEs which is not written for engineering majors, but for working mathematicians? #PDE #math

  42. Can anyone recommend a writeup on 1st order linear PDEs which is not written for engineering majors, but for working mathematicians? #PDE #math

  43. Can anyone recommend a writeup on 1st order linear PDEs which is not written for engineering majors, but for working mathematicians? #PDE #math

  44. Can anyone recommend a writeup on 1st order linear PDEs which is not written for engineering majors, but for working mathematicians? #PDE #math

  45. Wir freuen uns bei der diesjährigen Zyklenvorstellung insbesondere auf folgende Vortragende und Vorträge:

    - Prof. Dr. Russell Luke, Variational #Analysis and #Optimization
    - Prof. Dr. Ingo Witt, Analysis of partial differential equations (#PDE)
    - Prof. Dr. Anja Sturm, Stochastische Prozesse
    - Prof. Dr. Axel Munk, Statistical Foundations of #DataScience

  46. Wir freuen uns bei der diesjährigen Zyklenvorstellung insbesondere auf folgende Vortragende und Vorträge:

    - Prof. Dr. Russell Luke, Variational #Analysis and #Optimization
    - Prof. Dr. Ingo Witt, Analysis of partial differential equations (#PDE)
    - Prof. Dr. Anja Sturm, Stochastische Prozesse
    - Prof. Dr. Axel Munk, Statistical Foundations of #DataScience

  47. Wir freuen uns bei der diesjährigen Zyklenvorstellung insbesondere auf folgende Vortragende und Vorträge:

    - Prof. Dr. Russell Luke, Variational #Analysis and #Optimization
    - Prof. Dr. Ingo Witt, Analysis of partial differential equations (#PDE)
    - Prof. Dr. Anja Sturm, Stochastische Prozesse
    - Prof. Dr. Axel Munk, Statistical Foundations of #DataScience

  48. Wir freuen uns bei der diesjährigen Zyklenvorstellung insbesondere auf folgende Vortragende und Vorträge:

    - Prof. Dr. Russell Luke, Variational #Analysis and #Optimization
    - Prof. Dr. Ingo Witt, Analysis of partial differential equations (#PDE)
    - Prof. Dr. Anja Sturm, Stochastische Prozesse
    - Prof. Dr. Axel Munk, Statistical Foundations of #DataScience

  49. Just found this little helper for #neovim, #lazyvim that lets you manage your node dependencies from within your editor.
    I have already seen this in VSCode but never missed it until I installed it in my #pde

    github.com/vuki656/package-inf