openturns 1.18-2 source package in Ubuntu
Changelog
openturns (1.18-2) unstable; urgency=medium * Upload to unstable to follow the auto-hmat-oss transition (Closes:#1009003) * Skipping Python tests on armel for the moment, they are redundant with the C++ ones. * Adding missing dependencies of the -dev package on libtbb-dev and python3-dev -- Pierre Gruet <email address hidden> Tue, 19 Apr 2022 22:07:10 +0200
Upload details
- Uploaded by:
- Debian Science Team
- Uploaded to:
- Sid
- Original maintainer:
- Debian Science Team
- Architectures:
- any all
- Section:
- science
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section |
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Downloads
File | Size | SHA-256 Checksum |
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openturns_1.18-2.dsc | 2.5 KiB | 1a9d386be60272413dc61852dd6388535088ae05a6a79f854bd85167f952628c |
openturns_1.18.orig.tar.gz | 11.0 MiB | 1840d3fd8b38fd5967b1fa04e49d8f760c2c497400430e97623595ca48754ae0 |
openturns_1.18-2.debian.tar.xz | 46.4 KiB | 475a12372cce346b2f92d14a670aa97a315ae08e36b57ab948c2fc41162deaba |
No changes file available.
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.
- libopenturns0.19: No summary available for libopenturns0.19 in ubuntu kinetic.
No description available for libopenturns0.19 in ubuntu kinetic.
- libopenturns0.19-dbgsym: No summary available for libopenturns0.19-dbgsym in ubuntu kinetic.
No description available for libopenturns0.
19-dbgsym in ubuntu kinetic.
- openturns-common: generic tool to treat and quantify uncertainties (common files)
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 the configuration file for the versioned library
package.
- 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: Python3 front-end of OpenTURNS (aka TUI)
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 the Python3 bindings to the library.
- python3-openturns-dbgsym: debug symbols for python3-openturns