openturns 1.14-1ubuntu3 source package in Ubuntu

Changelog

openturns (1.14-1ubuntu3) focal; urgency=medium

  * No-change rebuild for libgcc-s1 package name change.

 -- Matthias Klose <email address hidden>  Wed, 25 Mar 2020 19:00:09 +0100

Upload details

Uploaded by:
Matthias Klose
Uploaded to:
Focal
Original maintainer:
Debian Science Team
Architectures:
any
Section:
science
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Focal release universe science

Downloads

File Size SHA-256 Checksum
openturns_1.14.orig.tar.xz 15.9 MiB 789f2c220b276aa2d195262e356314cf64adb52012c7cd8f304701630b7434e7
openturns_1.14-1ubuntu3.debian.tar.xz 17.2 KiB 1efca3f91b19b27d092f928cbbebb8cb455037236a320a9d6b5bc78bdd7e8fe1
openturns_1.14-1ubuntu3.dsc 2.4 KiB 0cd3f312eb77e444dc432ba5bf52b0ff5cb1532bcd6a97e5c2655fd2eacd4387

Available diffs

View changes file

Binary packages built by this source

libopenturns-dev: headers and development libraries for OpenTURNS

 OpenTURNS is a powerful and generic tool to treat and quantify
 uncertainties in numerical simulations in design, optimization and
 control. It allows both sensitivity and reliability analysis studies:
  * defining the outputs of interest and decision criterion;
  * quantify and model the source of uncertainties;
  * propagate uncertainties and/or analyse sensitivity and
  * rank the sources of uncertainty
 .
 Targeted users are all engineers who want to introduce the
 probabilistic dimension in their so far deterministic studies.
 .
 This package contains development files needed to build OpenTURNS applications.

libopenturns0.15: No summary available for libopenturns0.15 in ubuntu groovy.

No description available for libopenturns0.15 in ubuntu groovy.

libopenturns0.15-dbgsym: No summary available for libopenturns0.15-dbgsym in ubuntu groovy.

No description available for libopenturns0.15-dbgsym in ubuntu groovy.

openturns-examples: examples of OpenTURNS functionalities

 OpenTURNS is a powerful and generic tool to treat and quantify
 uncertainties in numerical simulations in design, optimization and
 control. It allows both sensitivity and reliability analysis studies:
  * defining the outputs of interest and decision criterion;
  * quantify and model the source of uncertainties;
  * propagate uncertainties and/or analyse sensitivity and
  * rank the sources of uncertainty
 .
 Targeted users are all engineers who want to introduce the
 probabilistic dimension in their so far deterministic studies.
 .
 This package provides C++ and Python examples.

python3-openturns: No summary available for python3-openturns in ubuntu hirsute.

No description available for python3-openturns in ubuntu hirsute.

python3-openturns-dbgsym: No summary available for python3-openturns-dbgsym in ubuntu hirsute.

No description available for python3-openturns-dbgsym in ubuntu hirsute.