69th Annual Meeting of the Australian Mathematical Society

Call for Abstracts in the Special Session “Optimisation”

Dear MOCAO members,

The 69th Annual Meeting of the Australian Mathematical Society (AustMS Meeting 2025) will take place from the 9th to the 12th of December 2025 at La Trobe University, Melbourne, Australia. A website for the conference is available at:

https://www.austms2025.org.au

It is our great pleasure to invite you to participate in the special session “Optimisation” and hope that you will agree to present a 25-minute talk.

This special session will focus on new mathematical and computational developments and their applications in all areas of continuous and discrete optimisation. Submissions related to applications of optimisation in data science, as well as data science applications in optimisation, are also welcome. We are delighted to have Jein-Shan Chen (National Taiwan Normal University) and Andrew Eberhard (RMIT University) as our keynote speakers.

As the session will have a maximum of 25 speakers, please let us know your interest to present by October 15, 2025.

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WOMBAT2025

Dear friends and colleagues,

We are delighted to invite you to Workshop on Optimisation, Metric Bounds, Approximation and Transversality (WOMBAT 2025), a broad and inclusive workshop covering all aspects of mathematical optimisation. Join us to explore new ideas, share knowledge, and build connections! We welcome contributions on any topic related to mathematical optimisation: theoretical, computational, or applied.

Website: https://wombat.mocao.org/ 

Location: University of Queensland, Brisbane

Dates: 26-28 November 2025

Registration: Register here

Abstract submission deadline: 24 October 2025

Keynote Speakers: Stephen Wright (University of Wisconsin–Madison), and Dmytro Matsypura (University of Sydney)

Registration is completely free for all participants.

We also have limited funds available to support student travel: students can apply for financial assistance through the registration form.

Please feel free to share this invitation with your colleagues, students, and broader network who may be interested in attending or presenting.

For any questions, feel free to contact us: wombatconference2025@gmail.com

We look forward to seeing you in Brisbane!

Warm regards,

Fred, Alexander, and Oscar

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About the Extremal Principle: From Convex Analysis to Nonsmooth Analysis (Geometric Considerations)

Hello everyone,

Please join us for a DMG Mathematics Seminar, held at Deakin CBD campus (please contact j.ugon@deakin.edu.au if you would like to attend in person), and on zoom:

https://deakin.zoom.us/j/84035502989?pwd=tIuy66p0Uc4fxO9IDjbagAVDopJ3wu.1

Friday, September, 5, 11AM (Melbourne).

Title: About the Extremal Principle: From Convex Analysis to Nonsmooth Analysis (Geometric Considerations)

By: Prof Alexander Kruger, Faculty of Mathematics and Statistics, Ton Duc Thang University, Ho Chi

Minh City, Vietnam

Abstract:  Since the extremal principle was introduced in 1980, it has proved to be one of the key tools in nonsmooth optimization and variational analysis, serving as a substitution for the classical convex separation theorem when the convexity assumptions are not satisfied. Several extensions of the extremality property of collections of sets have been introduced as well as several extensions of the extremal principle.

In this talk, I am going to present and discuss extremality, local extremality, stationarity and approximate stationarity properties of collections of sets and the corresponding (extended) extremal principle.

References

Kruger, A.Y., Mordukhovich, B.S.: Extremal points and the Euler equation in nonsmooth optimization problems. Dokl. Akad. Nauk BSSR 24(8), 684–687 (1980)

Kruger, A.Y.: Weak stationarity: eliminating the gap between necessary and sufficient conditions. Optimization 53(2), 147–164 (2004)

Bui, H.T., Kruger A.Y.: About extensions of the extremal principle. Vietnam J. Math. 46(2), 215–242 (2018)

Bui, H.T., Kruger A.Y.: Extremality, stationarity and generalized separation of collections of sets. J. Optimization Theory Appl. 182(1), 211–264 (2019)

Cuong, N.D., Kruger, A.Y., Thao, N.H.: Extremality of families of sets. Optimization 73(12), 3593–3607 (2024)

Cuong, N.D., Kruger, A.Y.: Generalized separation of collections of sets. arXiv: 2412.05336

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MoCaO lectures 2025: August 25-29 (zoom).

The MoCaO Lecture Series will run daily from 25–29 August, from 11:00 AM to 12:00 PM AEST.

Speakers

Professor Tim Moroney is Professor in Applied and Computational Mathematics within QUT’s School of Mathematical Sciences. Among all the topics that have played a role throughout his research career, the one that features most prominently is numerical linear algebra, and particularly methods for sparse matrices. His current research interests come from various applications across water waves, droplets, surface reconstruction, moving interface problems, and fractional calculus.

Dr Qianqian Yang is a Senior Lecturer in Applied and Computational Mathematics within QUT’s School of Mathematical Sciences. Qianqian has extensive experience in developing computationally efficient methods for solving fractional order partial differential equations. With this background, her recent research interest lies in the application of these fractional calculus models to real-world problems, especially in the area of combining numerical simulations, fractional order models and magnetic resonance imaging (MRI) to probe in vivo brain tissue microstructure.

Abstract

This series of lectures will introduce the theoretical and practical ideas for iterative methods applied to sparse matrices. Sparse matrices arise in many applications across science, engineering, statistics, business and beyond. Iterative methods that exploit the sparsity of these matrices are essential for overcoming the scaling on storage and floating-point calculations that otherwise renders problems even of modest dimensionality impractical to solve.

A remarkably versatile family of numerical methods called Krylov subspace methods can be applied to a wide class of sparse matrix problems. In doing so, they impose only minimal requirements on the means by which a matrix is utilised, paving the way for many of today’s high-performance codes. This course covers Krylov subspace methods for two common problems: eigenvalue problems and linear systems, from their derivation through to efficient numerical implementation.

The lectures will be running in zoom.

Join Zoom Meeting
https://qut.zoom.us/j/87221801096?pwd=TGQK2WysRMquyaohaNhK9FryY3X5MC.1

Meeting ID: 872 2180 1096
Passcode: 519836

The lecture recordings will be available via our YouTube channel.

We are looking forward to seeing you soon.

Nadia (nsukhorukova@swin.edu.au)

Monday lecture: slides and code (PDF format only).

Tuesday lecture: slides and code files (PDF format only): Arnoldi Convergence, Arnoldi Theory Check, Arnoldi VS Naive and Gram-Schmidt Comparison

Wednesday lecture: slides

Thursday lecture: slides

Friday lecture: slides

events, news, Seminars

MOCAO online lectures 2025: Iterative methods for sparse matrices

MOCAO Lectures August 25-29.

Dear MOCAO members. Our 2025 MOCAO lectures will be running during the last week of August (August 25-29).

There will be five online lectures (daily). There exact timetable and individual lecture titles will be communicated closer to the date.

Speakers:  Prof. Timothy Moroney (QUT)  

                  Dr Qianqian Yang (QUT)

Registration is now open:

https://docs.google.com/forms/d/e/1FAIpQLSfhHftVL2GJrQCsJLbao3dgn4-UHkAdN-MS_Y92iMDgCFOqgw/viewform?usp=header

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Head of Department & Associate Dean, Mathematics & Geospatial Science

  • This is an opportunity to join RMIT’s School of Science and be part of the leadership team contributing to the School’s academic and research performance, strategy, and growth as the Head of the newly formed Department of Mathematical and Geospatial Sciences.
  • The new school consist of approximately 50 academics as well as a number of research staff. The new school has several undergraduate and post graduate by course work programs and well as a thriving PhD program.
  • Remuneration for Academic Level E ($219,084) or Level D ($170,080 – $187,373) + leadership allowance + 17% Super
  • This role will be attractive to candidates seeking to develop, extend and apply their leadership skills to deliver excellence across research and education activities, working with a team of Deputy Department Heads within the new Department.
  • This 3-year Head of Department and Associate Dean appointment is underpinned by an ongoing Professor or Associate Professor role

External Applicants

https://rmit.wd3.myworkdayjobs.com/en-US/RMIT_Careers/job/Melbourne/Head-of-Department—Associate-Dean–Mathematics-and-Geospatial-Science_JR39971

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AMSI-MATRIX 2025 Winter School on mathematics for action

AMSI-MATRIX Winter School is an annual two-week event designed for postgraduate students, early-career researchers and industry professionals in the mathematical sciences and related disciplines.

Mathematics for Action: Supporting Decision-Making for a Better Future. The program includes social events, specialist guest lectures, participants talks and a careers session to promote networking and collaboration. For the first time, AMSI has partnered with The University of Newcastle to lead the academic program and MATRIX to host the Winter School in Creswick, Victoria from 1-12 September.

For more information, please refer to

Home – Winter School 2024

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Congratulations

Congratulations to Professor Jeya Jeyakumar, Prof. Guoyin Li and Ms Queenie Huang for receiving the best paper award by Euro Journal of Computational Maths (Marguerite Frank award).

https://www.unsw.edu.au/news/2025/04/unsw-mathematicians-win-marguerite-frank-award-for-best-ejco-paper-2024

The awarded paper, Piecewise SOS-convex moment optimization and applications via exact semi-definite programs, opens in a new window, examines exact Semi-Definite Program (SDP) reformulations for infinite-dimensional moment optimization problems involving a new class of piecewise Sum-of-Squares (SOS)-convex functions and projected spectrahedral support sets.

Congratulation from MoCaO!!!!!!!

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