The highlights of the new pyMOR version are:
– Improved model and reductor design makes pyMOR easier to extend.
– Extended VectorArray interface with generic complex number support.
– Improved and extended system-theoretic MOR methods.
– Builtin support for model outputs and parameter sensitivities.
The full release notes can be found here.
pyMOR is a software library for building model order reduction
applications with the Python programming language. Implemented
algorithms include reduced basis methods for parametric linear and
non-linear problems, as well as system-theoretic methods such as
balanced truncation or IRKA. All algorithms in pyMOR are formulated in
terms of abstract interfaces for seamless integration with external
PDE solver packages. Moreover, pure Python implementations of finite
element and finite volume discretizations using the NumPy/SciPy
scientific computing stack are provided for getting started quickly.
Description. The Department of Mathematics and Computer Science (IMADA) at the University of Southern Denmark (SDU) invites applications for a PhD position(f/m) in the area of applied mathematics.
We seek an ambitious candidate with a strong background in one or more of the following areas:
• Numerical linear algebra
• Numerical analysis (in particular: matrix analysis)
• Model reduction
• Differential geometry
Requirements. The successful applicant holds a master degree in pure or applied mathematics. Applications should include a CV, the subject of the master thesis, a list of scientific skills and contact information for two references.
The employment is for three years at a competitive salary. The proposed starting date is September 2018, but earlier and later starting dates can be negotiated.
Details and access to the online application form:
Interested candidates are invited to contact
Extended deadline: December 15, 2017
ROMSOC is a European Industrial Doctorate (EID) project in the programme Innovative Training Networks (ITN) and part of Marie Sklodowska Curie Actions within the Horizon 2020 programme. The ROMSOC EID Network brings together 15 international academic institutions and 11 industry partners and supports the recruitment of eleven Early Stage Researchers (ESRs). Each ESR will be working on an individual research project in the host institution with secondments related to their research in other academic and industrial partners of the network. The research is focused on three major topics: coupling methods, model reduction methods, and optimization methods, for industrial applications in well selected areas, such as optical and electronic systems, economic processes, and materials. The ROMSOC EID Network offers a unique research environment, where leading academics and innovative industries will integrate ESRs into their research teams for the training period, providing an excellent structured training programme in modelling, simulation and optimization of whole products and processes.
We seek excellent open-minded and team-spirited PhD candidates who will get unique international, interdisciplinary and inter-sectoral training in scientific and transferable skills by distinguished leaders from academia and industry. Deadline applications: 25 November. The calls for the ESR positions in the ROMSOC project have now been published at the EURAXESS webpage:
11 Early Stage Research Positions available in MSCA-ITN-EID project ROMSOC
(EURAXESS Job Offer id: 257318)
The following positions are available:
RTC implementation of high-performance algorithms for adaptive optics control
Reference number: ROMSOC-ESR01
Johannes-Kepler Universität, Linz, Austria
Mathematical modelling and numerical simulation of coupled thermo-acoustic multi-layer systems for enabling particle velocity measurements in the presence of airflow.
Reference number: ROMSOC-ESR02
ITMATI, Santiago de Compostela, Spain
FreeForm Optics applications of Optimal Transport Solvers
Reference number: ROMSOC-ESR03
INRIA, Paris, France
Data driven model adaptations of coil sensitivities in MR systems.
Reference number: ROMSOC-ESR04
University of Bremen, Bremen, Germany
Coupling of Model Order Reduction and Multirate Techniques for coupled heterogeneous time-dependent systems in an industrial optimization flow.
Reference number: ROMSOC-ESR05
Bergische Universität Wuppertal, Wuppertal, Germany
Model order reduction for parametric high dimensional models in the analysis of financial risk.
Reference number: ROMSOC-ESR06
Technische Universität Berlin, Berlin, Germany and MathConsult GmbH, Linz, Austria
Integrated Optimization of International Transportation Networks.
Reference number: ROMSOC-ESR07
Friedrich-Alexaner Universität Erlangen-Nürnberg, Erlangen, Germany
Efficient computational strategies for complex coupled flow, thermal and structural phenomena in parametrized settings.
Reference number: ROMSOC-ESR08
ITMATI, Santiago de Compostela, Spain
Numerical simulations and reduced models of the fluid-structure interaction arising in blood pumps based on wave membranes.
Reference number: ROMSOC-ESR09
Dipartimento di Matematica, Politecnico di Milano, Milan, Italy
Coupled parameterized reduced order modelling of thermo-hydro-mechanical phenomena arising in blast furnaces.
Reference number: ROMSOC-ESR10
Scuola Internazionale Superiore di Studi Avanzati di Trieste (SISSA), Trieste, Italy
Optimal Shape Design of Air Ducts in Combustion Engines.
Reference number: ROMSOC-ESR11
Weierstrass Institute for Applied Analysis and Stochastics, Berlin, Germany
Workshop: Reducing Dimensions and Cost for UQ in Complex Systems
Isaac Newton Institute, Cambridge
5 – 9 March 2018
Registration for this workshop is open through to January 3, 2018.
Francisco Alejandro Díaz De la O, University of Liverpool, UK, firstname.lastname@example.org
James Gattiker, Los Alamos National Laboratory, email@example.com
Gianluigi Rozza, SISSA International School for Advanced Studies Trieste, Italy, firstname.lastname@example.org
Elisabeth Ullmann, Technical University of Munich, Germany, email@example.com
Uncertainty quantification (UQ) in complex mathematical models is a huge computational challenge for many reasons. Simple UQ tasks such as the estimation of statistical properties of system outputs often require multiple calls to a deterministic solver. A single solver call is already very expensive for complex mathematical models. Advanced UQ tasks such as sensitivity and reliability analysis, parameter identification, or optimal control and design often involve several layers of increasing complexity where each layer requires the performance of a specific UQ task. This workshop will address efficient numerical and statistical methods for reducing the overall cost of solving discrete problems that arise in UQ studies, focusing on methodologies that reduce the dimension of the problems to be solved.
Talks will be organised around topics such as: multilevel and multifidelity methods; reduced basis methods; dimension reduction strategies; low rank and tensor methods; challenges in Gaussian process emulation, and active subspaces. Workshop speakers and participants will be encouraged to explore connections between these topics. There will also be two contributed poster presentations. Please indicate on the registration form if you are interested in presenting a poster. A limited amount of funding may be available to support PhD students.
Please see the workshop webpage soon updated with a list of speakers and tentative titles, and already updated for registration details.
This workshop is the third event in a six-month programme on Uncertainty Quantification at the Isaac Newton Institute:
Organizers: Peter Challenor (University of Exeter), Max Gunzburger (Florida State University), Catherine Powell (University of Manchester), Henry Wynn (London School of Economics)
Interesting linksHere are some interesting links for you! Enjoy your stay :)
- Joint publications
- MC Documents
- Opportunities for European funding
- Other Groups
- Special trimester on “Numerical Methods for PDEs” – Sep 5th to Dec 16th, 2016, Paris, France
- Background and Motivation
- Features of the challenge
- In relation to the challenge
- Overall structure
- The project
- Use of COST networking tools
- In relation to the existing efforts
- Management Committee
- Measuring the success of the action
- Scientific and societal impact
- The Challenge
- Added Value of Networking
- Economic impact
- How to join
- Model reduction : an ICT application
- Relevance and timelines
- Milestones and Deliverables
- Action structure and participation
- COST MORNET WG2 – March 19-20, Bucharest, Romania
- March 2020
- December 2019
- April 2018
- January 2018
- December 2017
- November 2017
- October 2017
- August 2017
- July 2017
- June 2017
- April 2017
- February 2017
- December 2016
- September 2016
- August 2016
- May 2016
- April 2016
- March 2016
- February 2016
- January 2016
- November 2015
- October 2015
- September 2015
- August 2015
- July 2015
- June 2015
- May 2015
- April 2015
- March 2015
- February 2015
- January 2015
- August 2014