Ubuntu
persalys package

persalys 16.0+ds-2 source package in Ubuntu

Changelog

persalys (16.0+ds-2) unstable; urgency=medium

  * Upload to unstable of this version which complies with newest openturns
    (Closes: #1062715)
  * Reworking AppStream metainfo file

 -- Pierre Gruet <email address hidden>  Sat, 15 Jun 2024 21:44:41 +0200

Upload details

Uploaded by:
Debian Science Team
Uploaded to:
Sid
Original maintainer:
Debian Science Team
Architectures:
any
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Oracular release universe misc

Downloads

File Size SHA-256 Checksum
persalys_16.0+ds-2.dsc 2.4 KiB 5d722a1207bcae7ff075d5d40372845872e6b12584b919d9b7e8bf4f3ac142de
persalys_16.0+ds.orig.tar.xz 29.5 MiB 12bca1be3e489f88dccb7ddc935705971b8f7a1737f79449e8d3d011aaf7340d
persalys_16.0+ds-2.debian.tar.xz 10.9 KiB 24a91afa785e6c43e684a8dde51a2f748dad14c249badb054535a2d344f7a8cd

No changes file available.

Binary packages built by this source

libpersalys-dev: GUI for uncertainty treatment (development files)

 Persalys is a graphical user interface for OpenTURNS, dedicated to the
 treatment of uncertainty and the management of variabilities. The software is
 a tool between the computer simulation, probabilistic analyses and the data
 sciences. The interface is available in French or in English.
 .
 Persalys allows one to:
  - create mathematical models: analytical, coupling with an external model
  (finite elements, ...), FMU;
  - analyse the variability of one's parameters thanks to many methods and
  visualisation tools;
  - statistically analyse one's measuring data, infer probability distributions
  or create metamodels.
 .
 This package contains the development files.

libpersalys0: GUI for uncertainty treatment (shared libraries)

 Persalys is a graphical user interface for OpenTURNS, dedicated to the
 treatment of uncertainty and the management of variabilities. The software is
 a tool between the computer simulation, probabilistic analyses and the data
 sciences. The interface is available in French or in English.
 .
 Persalys allows one to:
  - create mathematical models: analytical, coupling with an external model
  (finite elements, ...), FMU;
  - analyse the variability of one's parameters thanks to many methods and
  visualisation tools;
  - statistically analyse one's measuring data, infer probability distributions
  or create metamodels.
 .
 This package contains the shared libraries.

libpersalys0-dbgsym: debug symbols for libpersalys0
persalys: GUI for uncertainty treatment and variabilities management

 Persalys is a graphical user interface for OpenTURNS, dedicated to the
 treatment of uncertainty and the management of variabilities. The software is
 a tool between the computer simulation, probabilistic analyses and the data
 sciences. The interface is available in French or in English.
 .
 Persalys allows one to:
  - create mathematical models: analytical, coupling with an external model
  (finite elements, ...), FMU;
  - analyse the variability of one's parameters thanks to many methods and
  visualisation tools;
  - statistically analyse one's measuring data, infer probability distributions
  or create metamodels.

persalys-dbgsym: debug symbols for persalys
python3-persalys: GUI for uncertainty treatment (Python bindings)

 Persalys is a graphical user interface for OpenTURNS, dedicated to the
 treatment of uncertainty and the management of variabilities. The software is
 a tool between the computer simulation, probabilistic analyses and the data
 sciences. The interface is available in French or in English.
 .
 Persalys allows one to:
  - create mathematical models: analytical, coupling with an external model
  (finite elements, ...), FMU;
  - analyse the variability of one's parameters thanks to many methods and
  visualisation tools;
  - statistically analyse one's measuring data, infer probability distributions
  or create metamodels.
 .
 This package contains the Python3 bindings.

python3-persalys-dbgsym: debug symbols for python3-persalys