We are pleased to announce the release of PETSc version 3.24.0 at https://urldefense.us/v3/__https://petsc.org/release/download/__;!!G_uCfscf…
This release introduces `PetscRegressor`, https://urldefense.us/v3/__https://petsc.org/release/manual/regressor/__;!!… which provides some basic infrastructure and a general API for supervised machine learning tasks at a higher level of abstraction than a purely algebraic “solvers” view.
A list of the major changes and updates can be found at https://urldefense.us/v3/__https://petsc.org/release/changes/324/__;!!G_uCf…
The final update to petsc-3.23 i.e petsc-3.23.7 is also available
We recommend upgrading to PETSc 3.24.0 soon. As always, please report problems to petsc-maint(a)mcs.anl.gov <mailto:[email protected]> and ask questions at petsc-users(a)mcs.anl.gov <mailto:[email protected]>
This release includes contributions from
Albert Cowie
Alex Lindsay
aszaboa
Barry Smith
Brad Aagaard
Connor Ward
Daniel Otto de Mentock
danofinn
Dave Martin
David Salac
David Wells
Davi Yan
Hansol Suh
James Wright
Jared Frazier
Jasper Hatton
Jed Brown
Jeremy L Thompson
Jonas Heinzmann
josephpu
Jose Roman
Junchao Zhang
Koki Sagiyama
Lisandro Dalcin
Mark Adams
Martin Diehl
Matthew Knepley
Min RK
Mr. Hong Zhang
Nuno Nobre
Pablo Brubeck
Patrick Farrell
Paul T. Kühner
Pierre Jolivet
Pierre Marchand
Raphael Zanella
Rezgar Shakeri
Richard Tran Mills
Rylanor
Salzman Alexis
Satish Balay
Stefano Zampini
Tapashree Pradhan
Toby Isaac
Victor A. P. Magri
Wisang Sugiarta
Zach Atkins
and bug reports/proposed improvements received from
Aldo Bonfiglioli
Alexis Salzman
Ali Ahmad
Christiaan Klaij
Eric Chamberland
Félix Kwok
Hammond, Glenn E
Jose Roman
Juan Franco
Lawrence Mitchell
Lichtner, Peter
Lisandro Dalcin
PIGNET Nicolas
Sebastien Gilles
Steven Dargaville
Victor Eijkhout
Volker Jacht
Zongze Yang
As always, thanks for your support,
Barry
