1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
|
Source: openturns
Section: science
Priority: extra
Maintainer: Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
Uploaders: Christophe Prud'homme <prudhomm@debian.org>, Denis Barbier <barbier@debian.org>
Build-Depends: debhelper (>= 8), quilt, gfortran, bison, flex, cmake, bc,
libmuparser-dev, libxml2-dev, liblapack-dev, libblas-dev,
libboost-math-dev, libhmat-oss-dev, libnlopt-dev,
libtbb-dev [i386 amd64 ia64],
r-base-core, python-dev, python3-dev, swig (>= 2.0.9)
Standards-Version: 3.9.6
Homepage: http://www.openturns.org/
Vcs-Browser: https://anonscm.debian.org/git/debian-science/packages/openturns.git
Vcs-Git: https://anonscm.debian.org/git/debian-science/packages/openturns.git
X-Python-Version: current
X-Python3-Version: current
Package: libopenturns0.8
Section: libs
Architecture: any
Depends: ${shlibs:Depends}, ${misc:Depends}
Suggests: python-openturns, r-base-core, ghostscript, r-other-rot (= ${binary:Version})
Replaces: openturns-wrapper
Breaks: openturns-wrapper
Description: dynamic 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:
* define the outputs of interest and decision criteria;
* quantify and model the source of uncertainties;
* propagate uncertainties and/or analyse sensitivity
* rank the sources of uncertainty
.
OpenTURNS is a large project with more than 300 C++ classes which
uses well known and supported software such as R for the statistical
methods and BLAS/LAPACK for the linear algebra.
.
This package provides the dynamic libraries.
.
The library implements almost all the treatments of uncertainty that
OpenTURNS can provide. It is designed to be linked against any user
specific application, or with either the textual front-end (see
python-openturns or python3-openturns packages).
.
The main function of that library is giving to specific applications
all the functionalities needed to treat uncertainties in
studies. Targeted users are all engineers who want to introduce the
probabilistic dimension in their so far deterministic studies.
Package: libopenturns-dev
Section: libdevel
Architecture: any
Depends: ${misc:Depends}, libopenturns0.8 (= ${binary:Version}),
libmuparser-dev, libxml2-dev, liblapack-dev, libblas-dev, libtbb-dev [i386 amd64 ia64], libhmat-oss-dev, libnlopt-dev
Replaces: python-openturns-dev (<< 1.5-2)
Breaks: python-openturns-dev (<< 1.5-2)
Description: 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
.
OpenTURNS is a large project with more than 300 C++ classes which
uses well known and supported software such as R for the statistical
methods and BLAS/LAPACK for the linear algebra.
.
This package provides the OpenTURNS headers should be used if one
wants to link its application against the library.
Package: libopenturns0.8-dbg
Section: debug
Architecture: any
Depends: libopenturns0.8 (= ${binary:Version}), ${misc:Depends}
Description: debug symbols 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
.
OpenTURNS is a large project with more than 300 C++ classes which
uses well known and supported software such as R for the statistical
methods and BLAS/LAPACK for the linear algebra.
.
This package provides the debug symbols of the OpenTurns libraries to
help with debugging either your applications or OpenTURNS
Package: python-openturns
Section: python
Architecture: any
Depends: ${shlibs:Depends}, ${misc:Depends}, libopenturns0.8 (= ${binary:Version}), ${python:Depends}
Provides: ${python:Provides}
Suggests: python-matplotlib, python-scipy
Description: Python 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
.
OpenTURNS is a large project with more than 300 C++ classes which
uses well known and supported software such as R for the statistical
methods and BLAS/LAPACK for the linear algebra.
.
This package provides a textual user interface that gives access to
all the functionalities provided by the OpenTURNS library.
Package: python3-openturns
Section: python
Architecture: any
Depends: ${shlibs:Depends}, ${misc:Depends}, libopenturns0.8 (= ${binary:Version}), ${python3:Depends}
Provides: ${python3:Provides}
Suggests: python3-matplotlib, python3-scipy
Description: 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
.
OpenTURNS is a large project with more than 300 C++ classes which
uses well known and supported software such as R for the statistical
methods and BLAS/LAPACK for the linear algebra.
.
This package provides a textual user interface with Python3 that gives
access to all the functionalities provided by the OpenTURNS library.
Package: python-openturns-dev
Section: oldlibs
Architecture: all
Depends: ${misc:Depends}, libopenturns-dev
Description: Python front-end of OpenTURNS (transitional package)
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
.
OpenTURNS is a large project with more than 300 C++ classes which
uses well known and supported software such as R for the statistical
methods and BLAS/LAPACK for the linear algebra.
.
This is a transitional package, python-openturns-dev has been
merged into libopenturns-dev.
Package: r-other-rot
Section: gnu-r
Architecture: any
Depends: ${misc:Depends}, r-base-core
Description: GNU R package of few tools needed by 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
.
OpenTURNS is a large project with more than 300 C++ classes which
uses well known and supported software such as R for the statistical
methods and BLAS/LAPACK for the linear algebra.
.
This package provides R files needed by some OpenTURNS objects.
Package: openturns-examples
Architecture: any
Depends: ${shlibs:Depends}, ${misc:Depends}, python, python-openturns (= ${binary:Version}), libopenturns-dev
Replaces: openturns-wrapper
Breaks: openturns-wrapper
Description: 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
.
OpenTURNS is a large project with more than 300 C++ classes which
uses well known and supported software such as R for the statistical
methods and BLAS/LAPACK for the linear algebra.
.
This package provides examples which are written either in C++ or in
Python.
.
They are primarly used as validation tests for the whole
platform but they can also be seen as tutorials for
beginners.
Package: openturns-validation
Section: science
Architecture: all
Depends: ${misc:Depends}
Description: validation files 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
.
OpenTURNS is a large project with more than 300 C++ classes which
uses well known and supported software such as R for the statistical
methods and BLAS/LAPACK for the linear algebra.
.
This package includes many maple input files that validates the
results and the algorithms of OpenTURNS in a mathematical sense.
|
