RBniCS - Revision history

Ballarin: Update a few links

2020-08-18T15:57:32Z

Update a few links

← Older revision		Revision as of 15:57, 18 August 2020
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	~~{{preliminary}} <!-- Do not remove -->~~

	[[Category:Software]]		[[Category:Software]]

	== Synopsis ==		== Synopsis ==

	[[File:Rbnics.png\|200px\|right\|~~ithaca-sem box~~]]		[[File:Rbnics.png\|200px\|right\|RBniCS]]

	[https://~~mathlab~~.~~sissa~~.it/~~rbnics~~ <b>RBniCS</b>] is an implementation in [~~http~~://fenicsproject.org/ <b>FEniCS</b>] of several reduced order modelling techniques (and, in particular, certified reduced basis method and Proper Orthogonal Decomposition-Galerkin methods) for parametrized problems. It is ideally suited for an introductory course on reduced basis methods and reduced order modelling, thanks to an object-oriented approach and an intuitive and versatile python interface. To this end, it has been employed in several doctoral courses on "Reduced Basis Methods for Computational Mechanics".		The [https://www.rbnicsproject.org/ <b>RBniCS</b>] Project contains an implementation in [https://www.fenicsproject.org/ <b>FEniCS</b>] of several reduced order modelling techniques (and, in particular, certified reduced basis method and Proper Orthogonal Decomposition-Galerkin methods) for parametrized problems. It is ideally suited for an introductory course on reduced basis methods and reduced order modelling, thanks to an object-oriented approach and an intuitive and versatile python interface. To this end, it has been employed in several doctoral courses on "Reduced Basis Methods for Computational Mechanics".

	<b>RBniCS</b> can also be used as a basis for more advanced projects that would like to assess the capability of reduced order models in their existing <b>FEniCS</b>-based software, thanks to the availability of several reduced order methods (such as reduced basis and proper orthogonal decomposition) and algorithms (such as successive constraint method, empirical interpolation method) in the library.		<b>RBniCS</b> can also be used as a basis for more advanced projects that would like to assess the capability of reduced order models in their existing <b>FEniCS</b>-based software, thanks to the availability of several reduced order methods (such as reduced basis and proper orthogonal decomposition) and algorithms (such as successive constraint method, empirical interpolation method) in the library.
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	<blockquote>		<blockquote>
	[~~http~~://www.springer.com/us/book/9783319224695 J. S. Hesthaven, G. Rozza, B. Stamm. <b>Certified Reduced Basis Methods for Parametrized Partial Differential Equations</b>. SpringerBriefs in Mathematics. Springer International Publishing, 2015]		[https://www.springer.com/us/book/9783319224695 J. S. Hesthaven, G. Rozza, B. Stamm. <b>Certified Reduced Basis Methods for Parametrized Partial Differential Equations</b>. SpringerBriefs in Mathematics. Springer International Publishing, 2015]
	</blockquote>		</blockquote>

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	Docker images with pre-installed library and its dependencies is available.		Docker images with pre-installed library and its dependencies is available.
			Online interactive runs are also possible through [https://colab.research.google.com/ Google Colab] and [https://argos.sissa.it/tutorials ARGOS].

	== Features ==		== Features ==
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	* unsteady steady Stokes and Navier-Stokes problems,		* unsteady steady Stokes and Navier-Stokes problems,
	* optimal control problems (elliptic and Stokes),		* optimal control problems (elliptic and Stokes),
	* extensible interface to add your own problem ~~(see tutorials)~~.		* extensible interface to add your own problem.

	Available reduction methods:		Available reduction methods:
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	* extensible interface to add your own method (see tutorials).		* extensible interface to add your own method (see tutorials).

	Several ~~tutorials are provided in the~~ [https://~~gitlab~~.~~com/RBniCS/RBniCS/tree/master~~/tutorials tutorials ~~folder~~].		Several [https://www.rbnicsproject.org/tutorials.html tutorials] are provided with the library.

	== Links ==		== Links ==

	~~GitLab.com repository: http://gitlab.com/RBniCS/RBniCS~~		GitHub.com repository: https://github.com/RBniCS/RBniCS

	GitHub.com ~~mirror~~ repository: ~~http~~://github.com/~~mathLab~~/RBniCS

	Website: ~~http~~://~~mathlab~~.~~sissa~~.it/~~rbnics~~		Website: https://www.rbnicsproject.org/

	== References ==		== References ==
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	}		}

	and cite the [~~http~~://~~mathlab~~.~~sissa~~.it/~~rbnics~~ RBniCS website].		and cite the [https://www.rbnicsproject.org/ RBniCS website].

	A list of scientific publications involving <b>RBniCS</b> is available [https://~~gitlab~~.~~com/RBniCS/RBniCS/blob/master/docs/source~~/publications.~~rst at this link~~].		A list of scientific publications involving <b>RBniCS</b> is available [https://www.rbnicsproject.org/publications.html on our website].

	== Contact ==		== Contact ==
	[[User:Ballarin\| Francesco Ballarin]]		[[User:Ballarin\| Francesco Ballarin]]

Ballarin at 12:39, 5 February 2019

2019-02-05T12:39:04Z

← Older revision		Revision as of 12:39, 5 February 2019
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	== Links ==		== Links ==

	GitLab.com repository: http://~~github~~.com/RBniCS/RBniCS		GitLab.com repository: http://gitlab.com/RBniCS/RBniCS

	GitHub.com mirror repository: http://github.com/mathLab/RBniCS		GitHub.com mirror repository: http://github.com/mathLab/RBniCS

Ballarin at 12:30, 5 February 2019

2019-02-05T12:30:09Z

← Older revision		Revision as of 12:30, 5 February 2019
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	[[Category:Software]]		[[Category:Software]]

			== Synopsis ==

			[[File:Rbnics.png\|200px\|right\|ithaca-sem box]]

			[https://mathlab.sissa.it/rbnics <b>RBniCS</b>] is an implementation in [http://fenicsproject.org/ <b>FEniCS</b>] of several reduced order modelling techniques (and, in particular, certified reduced basis method and Proper Orthogonal Decomposition-Galerkin methods) for parametrized problems. It is ideally suited for an introductory course on reduced basis methods and reduced order modelling, thanks to an object-oriented approach and an intuitive and versatile python interface. To this end, it has been employed in several doctoral courses on "Reduced Basis Methods for Computational Mechanics".

			<b>RBniCS</b> can also be used as a basis for more advanced projects that would like to assess the capability of reduced order models in their existing <b>FEniCS</b>-based software, thanks to the availability of several reduced order methods (such as reduced basis and proper orthogonal decomposition) and algorithms (such as successive constraint method, empirical interpolation method) in the library.

			This software is also a companion of the introductory reduced basis handbook:

			<blockquote>
			[http://www.springer.com/us/book/9783319224695 J. S. Hesthaven, G. Rozza, B. Stamm. <b>Certified Reduced Basis Methods for Parametrized Partial Differential Equations</b>. SpringerBriefs in Mathematics. Springer International Publishing, 2015]
			</blockquote>

			== Requirements ==
			<b>RBniCS</b> requires
			* <b>FEniCS</b> (>= 2018.1.0, python 3), with PETSc, SLEPc, petsc4py and slepc4py for computations during the offline stage;
			* numpy and scipy for computations during the online stage.
			Additional requirements are automatically handled during the setup.

			Docker images with pre-installed library and its dependencies is available.

			== Features ==

			Available problems:
			* elliptic coercive problems,
			* parabolic problems,
			* nonlinear elliptic and parabolic problems,
			* steady Stokes and Navier-Stokes problems,
			* unsteady steady Stokes and Navier-Stokes problems,
			* optimal control problems (elliptic and Stokes),
			* extensible interface to add your own problem (see tutorials).

			Available reduction methods:
			* certified reduced basis for basis generation,
			* POD-Galerkin for basis generation,
			* EIM/DEIM for hyper-reduction,
			* SCM for stability factors computations,
			* extensible interface to add your own method (see tutorials).

			Several tutorials are provided in the [https://gitlab.com/RBniCS/RBniCS/tree/master/tutorials tutorials folder].

			== Links ==

			GitLab.com repository: http://github.com/RBniCS/RBniCS

			GitHub.com mirror repository: http://github.com/mathLab/RBniCS

			Website: http://mathlab.sissa.it/rbnics

			== References ==
			If you use <b>RBniCS</b> in your work, please use the following citations to reference <b>RBniCS</b>

			@book{HesthavenRozzaStamm2015,
			author = {Hesthaven, Jan S. and Rozza, Gianluigi and Stamm, Benjamin},
			title = {Certified Reduced Basis Methods for Parametrized Partial Differential Equations},
			publisher = {Springer International Publishing},
			year = 2015,
			series = {SpringerBriefs in Mathematics},
			isbn = {978-3-319-22469-5}
			}

			and cite the [http://mathlab.sissa.it/rbnics RBniCS website].

			A list of scientific publications involving <b>RBniCS</b> is available [https://gitlab.com/RBniCS/RBniCS/blob/master/docs/source/publications.rst at this link].

			== Contact ==
			[[User:Ballarin\| Francesco Ballarin]]

Himpe: init RBniCS

2019-01-14T14:15:25Z

init RBniCS

New page

{{preliminary}} 

[[Category:Software]]