International Conference “DYNAMICAL SYSTEMS: STABILITY, CONTROL, OPTIMIZATION” (DSSCO’21) in memory of Professor R.F. Gabasov (October 5-10, 2021, Minsk)

December 17, 2020 marks the 85th anniversary of the birth of Rafail Fedorovich Gabasov, Professor, Doctor of Sciences, Honored scientist of the Republic of Belarus, world-renowned researcher in the field of optimization and optimal control (1935-2020).
R.F. Gabasov was one of the founders of the Faculty of Applied Mathematics (now the Faculty of Applied Mathematics and Computer Science) of the Belarusian State University and the Chair of Optimal Control Methods Department for many years (1967-2000). In 2000-2018 he was a professor of that department.
In memory of Rafail Fedorovich Gabasov Belarusian State University and the Institute of Mathematics of the National Academy of Sciences of Belarus are organizing the International Conference “Dynamical Systems: Stability, Control, Optimization” (DSSCO’21).
The conference will be held on October 5-10, 2021 in Minsk, Belarus, at the Belarusian State University.

For more information, please refer to

Web-page: http://conf.bsu.by/dssco_eng
Email: mou.fpmi@gmail.com
Secretary:
Vital Alsevich, tel.: +375(17)209-50-74, email: alsevichvv@mail.ru

events, news

Early Career Development Fellow (RMIT)

Early Career Development Fellow (ECDF) – Mathematical Sciences (3 positions at RMIT)

Full time – Fixed term/Contract

  • 3 x Full-time, 3 -year fixed-term contract positions based at RMIT City campus but may be required to work and/or be based at another campus of the University and/or partner institutes (including overseas)
    • 2 (two) positions are in the area of cybersecurity, specifically in the mathematics of cybersecurity.
    • 1 (one) position is in the area of applied mathematics
  • Play an important role in contributing to teaching and research activities within the Mathematical Sciences Discipline, in the School of Science
  • Remuneration at Academic Level B ($98,495 – $116,965) + 17% superannuation

For further details:

https://yourcareer.rmit.edu.au/caw/en/job/593398/early-career-development-fellow-ecdf-mathematical-sciences-3-positions

positions, Uncategorized

Seminar Series on Computational Mathematics

Dear MoCaO members.

We want to inform you about the launch of the Australian Seminar on Computational Mathematics.

You can visit the seminar webpage (main menu, CM Webinar)

Australian Seminar on Computational Mathematics

where you can find the scheduled talks details and instructions about

1) livestream access to the talk and

2) subscription to the mailing list that will be used to announce new talks.

The inaugural talk will be Tue Feb 09 5pm AEDT, and it will be delivered by Alexandre Ern (Université Paris-Est, CERMICS , ENPC).

news, Seminars, Uncategorized

PhD Scholarship: Convergence Speed of Optimisation Algorithms

SCHOOL OF MATHEMATICS AND APPLIED STATISTICS (SMAS),
UNIVERSITY OF WOLLONGONG, AUSTRALIA
An exciting PhD scholarship is available in the School of Mathematics and Applied Statistics (SMAS) at the University of Wollongong, South Western Sydney campus, in the area of Optimisation. The title of the project is Determining the Convergence Speed of Derivative-free Optimisation Algorithms. The UOW scholarship is $28,092AUD tax-free per year for
three years full-time. Tuition fees (for up to 4 years) will be waived. The successful applicant will have the opportunity to work with both Australian and international collaborators, and extra funding may be available for conference travel. Applications are invited from domestic and international students who are able to commence PhD studies at the University of Wollongong in 2021.

https://documents.uow.edu.au/content/groups/public/@web/@eis/documents/doc/uow261302.pdf
HOW TO APPLY
If you are interested in applying for this scholarship, please contact Dr Chayne Planiden via email: chayne@uow.edu.au. Applications must include CV detailing previous education experience and academic transcripts. It is expected that the successful applicant will be available to commence this scholarship by 31 October 2021. Applications close 30 November, 2020.

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VA & Opt Webinar: Ernest Ryu

Title: Scaled Relative Graph: Nonexpansive operators via 2D Euclidean Geometry

Speaker: Ernest Ryu (Seoul National University)

Date and Time: November 25th, 2020, 17:00 AEDT (Register here for remote connection via Zoom)

Abstract: Many iterative methods in applied mathematics can be thought of as fixed-point iterations, and such algorithms are usually analyzed analytically, with inequalities. In this work, we present a geometric approach to analyzing contractive and nonexpansive fixed point iterations with a new tool called the scaled relative graph (SRG). The SRG provides a rigorous correspondence between nonlinear operators and subsets of the 2D plane. Under this framework, a geometric argument in the 2D plane becomes a rigorous proof of contractiveness of the corresponding operator.

Seminars

VA & Opt Webinar: Aram Arutyunov & S.E. Zhukovskiy

Title: Local and Global Inverse and Implicit Function Theorems

Speaker: Aram Arutyunov (Moscow State University) & S.E. Zhukovskiy (V. A. Trapeznikov Institute of Control Sciences of RAS)

Date and Time: November 18th, 2020, 17:00 AEDT (Register here for remote connection via Zoom)

Abstract: In the talk, we present a local inverse function theorem on a cone in a neighbourhood of abnormal point. We present a global inverse function theorem in the form of theorem on trivial bundle, guaranteeing that if a smooth mapping of finite-dimensional spaces is uniformly nonsingular, then it has a smooth right inverse satisfying a priori estimate. We also present a global implicit function theorem guaranteeing the existence and continuity of a global implicit function under the condition that the mappings in question are uniformly nonsingular. The generalization of these results to the case of mappings of Hilbert spaces and Banach spaces are discussed.

Seminars

POSTDOCTORAL RESEARCH FELLOW (4 POSITIONS), University of Melbourne

Job no: 0051226

Work type: Fixed Term

Location: Parkville

Division/Faculty: Faculty of Science

Department/School: School of Mathematics and Statistics

Role & Superannuation rate: Academic – Full time – 9.5% super

Salary: Level A: $73,669 – $99,964 p.a (PhD entry level $93,120) or Level B: $105,232 – $124,958 p.. Level of appointment is subject to applicants’ qualifications and experience. 

The School of Mathematics and Statistics at the University of Melbourne has four two-year research positions available for exceptional early career researchers in the mathematical sciences, whose research has the potential to have a significant impact, either in fundamental research or toward practical applications. The School maintains activity in all areas of the mathematical sciences, and the positions can be related to any area.

For more details please refer to

http://jobs.unimelb.edu.au/caw/en/job/903384/postdoctoral-research-fellow-4-positions

Uncategorized

VA & Opt Webinar: Vinesha Peiris

Title: The extension of linear inequality method for generalised rational Chebyshev approximation

Speaker: Vinesha Peiris (Swinburne)

Date and Time: November 11th, 2020, 17:00 AEDT (Register here for remote connection via Zoom)

Abstract: In this talk we will demonstrate the correspondence between the linear inequality method developed for rational Chebyshev approximation and the bisection method used in quasiconvex optimisation. It naturally connects rational and generalised rational Chebyshev approximation problems with modern developments in the area of quasiconvex functions. Moreover, the linear inequality method can be extended to a broader class of Chebyshev approximation problems, where the corresponding objective functions remain quasiconvex.

Seminars

ARC PhD Scholarship ($31,885pa): Switching Dynamics Approach for Distributed Global Optimisation

ARC PhD Scholarship ($31,885pa): Switching Dynamics Approach for Distributed Global Optimisation

https://www.rmit.edu.au/students/student-essentials/information-for/research-candidates/enriching-your-candidature/grants-and-scholarships/postgraduate-by-research/switching-dynamics-approach-distributed-global-optimisation

Fast growing big-data in industrial systems makes finding optimal solutions for timely decision making more difficult. This project aims to create a breakthrough switching dynamics approach and new technology to speed up finding optimal solutions. It will develop a distributed switching dynamics based optimisation scheme for global optimisation problems in big-data environments, hence resulting in a practical technology for industry applications (e.g. smart grids).

The specific objectives of this Project are:

1. Establish a switching dynamics approach for global optimisation, forming the foundation to accelerate convergence to search for optimal solutions.

2. Create an intelligent distributed global optimisation scheme with switching dynamics based multi-agent system concepts, which is scalable to big-data optimisation tasks.

This is a project funded by an Australian Research Council (ARC) Discovery Grant for three years (2021-2023), which aims to develop a breakthrough switching dynamics approach and new technology for global optimisation tasks in big-data applications.

The successful applicant will work on this project for the PhD in the School of Science at RMIT University supervised by Prof. Andrew Eberhard and carried out in collaboration with Prof. Xinghuo Yu (Electrical Engineering) at RMIT.

Qualifications

You are required to have a Bachelor degree in a relevant discipline such as Mathematical Sciences or Electrical Engineering with at least 2nd class upper honours or equivalent.  Experience in one or more areas in Nonlinear Dynamical Systems, Discontinuous Control Systems, Optimisation theory and\or Optimisation Algorithms is desirable. The applicant must have a strong background in mathematics.

Application

A CV detailing your qualifications, research experience and achievements, a statement of your suitability to this project, and contact details of two referees are to be emailed to Professor Andrew Eberhard at andy.eberhard@rmit.edu.au.  For further information, please contact Prof. Andrew Eberhard directly.

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