The 7th Workshop on High-Dimensional Approximation

The 7th Workshop on High-Dimensional Approximation will be held at UNSW in Sydney, Australia, on February 13–17, 2017. See the website

http://www.hda2017.unsw.edu.au

The High-Dimensional Approximation (HDA) Workshop is a series of biennial international meetings covering current research on all numerical aspects of high-dimensional problems. This seventh workshop will be held at UNSW in Sydney (HDA2017), with participants again welcomed from all around the world.

The scope of the seventh workshop ranges from high-dimensional approximation theory over computational methods to engineering and scientific applications. Topics include, but are not limited to,

  • Sparse grid methods
  • Quasi-Monte Carlo methods
  • Tensor decompositions
  • Polynomial chaos expansions
  • Sparse approximations
  • Reduced basis methods
  • Multi-level methods
  • Bayesian inversion
  • Uncertainty quantification

Participation is open to all interested in high-dimensional computational mathematics and science.

A key feature of this workshop is that there are no parallel sessions and generally all talks will be of equal length. Participants are welcome to present work in progress and there will be time set aside for informal discussions. The number of talks will be limited. It is not essential that everyone gives a talk. Collaborators are encouraged to coordinate and elect a representative to present joint work.

In this workshop we will honour and celebrate the 65th birthday of Professor Markus Hegland. Markus is a founding member of the HDA workshop series. He is also a well respected leader in computational mathematics and optimization in Australia. We hope to take this opportunity to engage the HDA global community with other computational mathematics groups in Australia.

To assist us with planning, please go to the website at your earliest convenience to register especially if you are interested in giving a talk. Travel, visa and accommodation information is already available. More information about registration fee payment and abstract submission will be available on the website later in the year.

We look forward to welcoming you in Sydney!

Josef Dick, Frances Kuo, Dirk Nuyens
HDA2017 Organizers hda2017@unsw.edu.au

Download the poster

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AustMS Special Session – Computational Mathematics (First Call)

Dear Colleagues,

The 60th annual meeting of the Australian Mathematical Society will be held by the Mathematical Sciences Institute at the Australian National University from the 5–8 December 2016. A website for the conference is available at:

http://maths.anu.edu.au/events/austms-meeting-2016

It is our great pleasure to invite you to participate in the special session “Computational Mathematics” and hope that you will agree to present a 20-minutes’ talk. The focus of this special session will be on numerical analysis and approximation theory and includes numerical techniques for partial differential equations, inverse problems and regularisation and parallel numerical algorithms.

This year it will be 10 years since the joint minisymposium on computational mathematics and optimisation (Macquarie University 2006) and one year since the establishment of the AustMS special interest group in mathematics of computation and optimisation (MoCaO). Corresponding to the two core focus areas of MoCaO we do have two special sessions as we did since 2007:

* Mathematics of Computation: special session in Computational Mathematics
* Mathematics of Optimisation: special session in Mathematical and Computational Optimisation

We encourage members of MoCaO to participate in these two sessions! AMSI support for student members is available, see
http://research.amsi.org.au/travel-funding/

For more information about MoCaO see
https://mocao.mathsig.org

Best regards, and looking forward to meeting you at our special session

Linda Stals
Steve Roberts
Qinian Jin
Markus Hegland

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Re-posted on behalf of Markus Hegland

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The Computational Techniques and Applications Conference (CTAC) 2016

The Computational Techniques and Applications Conference (CTAC) 2016 will be held at Monash University, Caulfield Campus from the 27-30 November 2016. Our aim is to conduct a high quality conference on computational mathematics; scientific, technical, and industrial applications; and high performance computing.

The plenary speakers for CTAC16 will be:
Bernd Brugmann, Theoretical Physics Institute, University of Jena
Regina Burachik, University of South Australia
Alys Clark, University of Auckland
Josef Dick, University of New South Wales
Bishnu Lamichhane, University of Newcastle
Scott MacLachlan, Memorial University of Newfoundland
Bijan Mohammadi, University of Montpelier
Murray Rudman, Monash University

CTAC is organised by the special interest group in computational techniques and applications of ANZIAM, the Australian and New Zealand Industrial and Applied Mathematics Division of the Australian Mathematical Society. The meetings provide an interactive forum for researchers interested in the development and use of computational methods applied to engineering, scientific and other problems. The CTAC meetings have been taking place biennially since 1981, the most recent being held in 2014 at the Mathematical Sciences Institute at the Australian National University.

For more information: http://www.monash.edu/ctac2016/

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Posted on behalf of Jérôme Droniou

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Ph.D. Position in Nonsmooth and Convex Optimization (University of Vienna)

A Ph.D. position in Nonsmooth and Convex Optimization is available at the University of Vienna.

The position is for 3 years, in the Research Group on Applied Mathematics and Optimization at the Faculty of Mathematics of the University of Vienna.

The research group is headed by Prof. Radu Ioan Boț and has its core research areas in Nonsmooth and Convex Optimization.

Please see the attachment: 2016-02-24-PhDposition_FWF for further details and deadlines.

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EUROPT 2016 Workshop on Advances in Continuous Optimization

Dear Friends and Colleagues,

We are pleased to announce the 14th EUROPT Workshop on Advances in Continuous Optimization organized by Institute of Control and Computation Engineering at Warsaw University of Technology, Poland., July 1­2, 2016 Warsaw. http://www.europt2016.ia.pw.edu.pl/

EUROPT2016 is the annual event of the EUROPT continuous optimization working group of EURO (The Association of European Operational Research Societies). This is the 14th such workshop and is held in collaboration with the 28th annual EURO conference to be held in Poznań on July 3­6 2016

Talks should be related to continuous optimization theory, algorithms, software or applications.

Plenary speakers confirmed:

Andreas Griewank, Humboldt University, Berlin, Gremany
Jiri Outrata, Institute of Information Theory and Automation, Czech Academy of Sciences, Prague, Czech Republic
Anatoly Zhigljavsky, Cardiff University, Cardiff, UK

Call for Abstracts (max two pages):

Abstracts submission is opened since February 1, 2016. Please sign up at https://www.euro-online.org/conf/europt2016/ to create your EURO account and submit your abstract. All accepted abstracts will be included in the Book of Abstracts. Please be reminded that the that the Deadline for Abstracts Submission is March 15, 2016.

Selected papers presented at EUROPT2016 will be considered for peer­reviewed publication in a special issue of Mathematical Methods of Operations Research.

Registration will open in due course, with the fees having been set as EUR 200 (Standard) and EUR 150 (PhD students) before May 15 2016.

Afterwards the respective fees will be EUR 270 and EUR 200.

We hope you will want to take this opportunity to visit Warsaw and contribute to advances in continuous optimization.

Andrzej Stachurski and Włodzimierz Ogryczak

Chairs of the Organising and Programme Committees for EUROPT2016

Posted on behalf of Regina Burachik

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Postdoctoral positions at CMM, University of Chile

The Center for Mathematical Modeling (CMM) of Universidad de Chile, Santiago, Chile (www.cmm.uchile.cl) is opening new postdoctoral positions for 2016.

We expect candidates highly motivated by the fundamental and applied research topics developed at CMM, and in particular by its current projects. Candidates should exhibit evidence of outstanding research and to have received a Ph.D. degree in mathematics or related fields by the beginning of the appointment, and not before 2012.

Positions are for one year, renewable for up to two years, subject to an annual evaluation. Appointments should start not later than September 2016 but preferably around May 2016. Monthly salary will be $1.800.000 (Chilean Pesos) before taxes. Selected candidate will receive funding for the round trip to Chile and for participating in one international conference to present relevant results of his research project per year.

Submit curriculum vitae, research statement, three recommendation letters and fill the online form not later than January 4th, 2016. The application can only be made through our website, section “job opportunities”. Decisions of postdoctoral positions will be made before end of January.

Posted on behalf of Héctor Ramírez.

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Congratulations to ARC Discovery grant winners

Congratulations to all colleagues who succeeded in acquiring funding in the latest ARC Discovery round.

The following projects with primary FoR 0103 Numerical and Computational Mathematics (and related areas) have been granted funding:

Project ID Investigator(s) Summary Administering Organisation
DP160101537 Professor Jonathan Borwein; Dr Jeffrey Hogan; Professor Dr Russell Luke The project proposes to further develop the non-linear convergence theory, and to provide problem-specific implementations. Many applied and pure problems require solution of a large set of linear or nonlinear equations (or inequalities). Highly effective, parallelisable methods are based on iterated projection or reflection algorithms which aggregate information about individual equations. The theory is well developed in the linear case, but does not explain many important applications for which they are often highly successful (eg optical aberration correction, protein reconstruction, tomography, compressed sensing). The project also plans to provide heuristics to help explain why an algorithm performs well on one class of applications but fails on another. The University of Newcastle
DP160100746 Professor Paul Cally; Professor Hans De Sterck; Dr Sergiy Shelyag This project aims to develop numerical methods for complex magnetohydrodynamic simulations able to handle sharp and dynamically evolving inhomogeneities, spherical geometries, and dramatic variations in density and wave speed across the simulation domain. The project plans to develop these methods within the context of solar wave processes, which are fundamental to the transfer of energy from the sun’s interior to its outer atmosphere, to the acceleration of the solar wind that rushes past the Earth continually, and to solar activity in general. This would provide the best available modelling of how the sun’s atmosphere works, with direct implications for how the Earth’s space environment is determined by solar storms and eruptions. Monash University
DP160100854 Associate Professor AlexanderKruger; Professor Jiri Outrata; Professor Michel Théra; Professor Dr Marco López Cerdá; Professor Assen Dontchev; Dr Rene Henrion This project seeks to advance a new mathematical theory of variational analysis which may lead to applications in optimisation. The emphasis will be on extensions of regularity concepts appropriate for studying stability (the ‘radius of good behaviour’) of solutions to optimisation problems, particularly those of semi-infinite optimisation and programs with equilibrium constraints, when standard assumptions are not satisfied. The expected outcomes may have an impact in enhancing the convergence of numerical methods and facilitating the post-optimal analysis of solutions. It may also generate new tools for increasing efficiencies and cost reductions in engineering, logistics, economics, financial systems, and environmental science. Federation University Australia
DP160102819 Professor Jie Sun; Dr Honglei Xu; Eminent Professor Ralph Rockafellar This project seeks to develop theory and methodology in optimisation which take advantage of recent progress in understanding and treating risk in decision making. Problems of optimisation in the face of uncertainty must confront the risk inherent in having to make reliable decisions before knowing the outcomes of crucial random variables on which costs and constraints may depend. Recent theoretical developments, featuring ‘measures of risk’ beyond just-expected values and quantiles offer hope of major new advances. This project aims to achieve such advances not only in optimisation but also in models of equilibrium that likewise have to deal with uncertainty. Extending current theory and methodology to such multi-stage stochastic models is a challenge. Besides taking up this challenge for its own sake, a major goal of this research will be to use the results in solution algorithms. Curtin University of Technology
DP160100639 Professor Doreen Thomas; Associate Professor Marcus Brazil; Dr Charl Ras; Professor Dr Martin Zachariasen The goal of this project is to construct a mathematical framework for the design of minimum-cost networks that are robust and avoid obstacles. Physical networks such as those required for communication, power and transportation are vital for our society, but are costly from economic and environmental viewpoints. There is a need for mathematical optimisation tools to design minimum-cost networks that take into account practical considerations such as surviving local connectivity failures and avoiding pre-existing obstacles. These are recognised as mathematically challenging problems. Current approaches employ restrictive models that do not capture the flexibility of modern infrastructure networks. This project aims to develop geometric design methods using variable ‘Steiner points’, leading to fast algorithms for optimally solving these problems. The University of Melbourne
DP160101755 Associate Professor Thanh Tran; Professor Beniamin Goldys; Professor Zdzislaw Brzezniak; Professor Dr Andreas Prohl; Professor Dr Ernst Stephan; Associate Professor Salim Meddahi This project aims to develop novel mathematical theories and numerical methods for problems affected by uncertainty in input data. This type of uncertainty exists in most mathematical models of real life applications. For these problems, a single deterministic simulation with one set of input data is of limited use. Therefore, novel techniques to deal with randomness are essential. The problems in this project are driven by specific applications from ferromagnetism, structural acoustics and vibration. The new theories may lay the foundation for understanding ferromagnetic materials and structural acoustics. The novel approaches to be developed in this project may form the basis for the study of stochastic liquid crystal theory and other interface problems. The University of New South Wales

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Posted on behalf of Alex Kruger.

Uncategorised

PhD position

Dear colleagues,

Together with a team of Partner Investigators, I have just received some ARC funding for a project to start in early 2016: Stability of Generalised Equations and Variational Systems.

We are able to support one or two PhD students to work on this project. The current ARC funded PhD stipend is (AU)$25,406 tax free.

Best regards,
Alex
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Posted on behalf of Alex Kruger.

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PhD and Post Doctoral Opportunities

Please note that Prof. Jonathan Borwein, Dr. Jeffrey Hogan and Prof. Russell Luke have just received substantial ARC funding for a project to start in early 2016:

Relaxed reflection methods for feasibility and matrix completion problems.

​They are able to support one or two PhD students and one or two Post Doctoral fellows to work on this project.

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