MoCaO elections

Dear MoCaO members,

We need to undertake an election for the executive and this needs to be completed before (or soon after) the beginning of next year. For this election Andrew Eberhard and Alex Kruger will serve as returning officers (and consequently will not be seeking re-election).

 We are now seeking nomination for the following positions. All people nominated for these positions should be dual members of AustMS and MoCaO and should be nominated by two registered members of MoCaO.

1. Chair (Optimisation)

2. Chair (Computation)

3. Secretary

4. Treasurer

5. Communications-Web manager

6. Two ordinary members of the executive

Please send your nomination by email to MoCaO@austms.org.au

An online system will be set up and details on how to cast your vote online will be send in a follow up email.  

The closing date for nominations will be December the 20th, 2024 after which we will initiate a vote in the following weeks. Probably in the early new year.

On Australian Research Council funding over the last 10 years

A .docx copy is available here:

Mathematics of Computation and Optimisation (MoCaO) (www.mocao.org) represents more than 250 Australian mathematicians involved in the development of modern computational techniques for modern data science, machine learning and physical modelling. These computational techniques are the vital engines that power the software utilized by researchers in the latter fields (the analogy of maths engines powering software ‘vehicles’ will be used throughout this report). MoCaO is concerned that the funding opportunities and the amounts funded for critical fundamental research have been in decline for many decades.
The absolute amount of funding has not risen in dollar adjusted terms in this period while on the other hand, here has also been an increase in the number of funded grant streams supported by the government.

Australian Mathematical Sciences Institute (members include Australian Signals Directorate, RBA, and 28 universities) and MATRIX Institute have recently published the report Research Investment and Expenditure into the Mathematical Sciences. This report highlights critical shortfalls in relation to funding of research in the mathematical sciences. Central to these concerns is that funding for the mathematical sciences (the engines) has decreased, as more funding has been diverted to applied research (the projects made possible by the software ‘vehicles’).  This is to the direct detriment of fundamental research, and to the broader detriment of all, since large-scale modern problems faced by Australian industry require ever more powerful mathematical engines. The report also notes that “ARC investment in the schemes most relevant to the Mathematical Sciences … is roughly on par with investment in other STEMM disciplines, except for a noticeable drop in DECRAs.” Despite this being true in relative terms (i.e. in relation to overall funding in ARC Discovery grants etc) MoCaO remains concerned, as a representative body for the computational mathematical sciences, that this assessment hides the reduction of funding in absolute terms during this last 10year period in funding of ARC DP grants. The decline in DECRA funding is particularly alarming, as it could accelerate the exit of new talent from research. At AMSI Summer School Careers Day, companies routinely advertise salaries in excess of $250,000 for students with PhDs in computational mathematics.

In the table below, the total amount (in AUD) of ARC/DP grants in all areas of mathematics per year over the last decade is shown. The number at each row represents the total value awarded to ARD/DP grants that year with FoR codes 0101 (Pure Mathematics, 0102 (Applied Mathematics) and 0103 (Numerical and Computational Mathematics).  We then used the Reserve Bank of Australia’s site to convert the figures to the current dollar values.
The data, in today dollars, is displayed in Figure 1. In ten years, the funding for ARC/DP grants has been essentially halved.

YearAmount in AUD
2022  9929000
202110462488
202011593438
201911178546
201812240632
2017  9063642
201612816771
201511162100
201414582737
201312386233
201216461942
201115495628

Total amount of ARC/DP grants in pure/applied/computational maths. Data extracted from “Yearly_funding_allocation_Nov2022.xlsx” which is available publicly at https://www.arc.gov.au/funding-research/funding-outcome/grants-dataset

         Fig 1. Total ARC/DP funding for mathematics in today dollars.

The executive summary of the AMSI-MATRIX report  “Research Investment and Expenditure into the Mathematical Sciences” states: “Basic research should be properly funded for Australia’s long term prosperity. In addition, it is essential that research facilities in the Mathematical Sciences are well supported as National Research Infrastructure.” MoCaO emphasizes that the reduced funding opportunities in ARC\DP and DECRA grants is having a particularly detrimental impact on the career opportunities for younger emerging researchers in the mathematical sciences in Australia. This has the potential to inflict longer term damage to Australia’s international standing in the Mathematical Sciences.

WOMBAT 2024

The Discipline of Business Analytics at the University of Sydney is pleased to host WOMBAT (Workshop on Optimisation, Metric Bounds, Approximation and Transversality).

  • Dates: Wednesday 4th – Friday 6th December 2024
  • Venue: The University of Sydney Business School

The event will be entirely in-person.

For the first time, WOMBAT will run a summer school taught by Prof. Fred Roosta (University of Queensland). In addition, a keynote talk will be given by Prof. Melvyn Sim (National University of Singapore).

Registration is free to all participants and open until 25th October. We welcome abstract submissions for talks on all aspects of optimisation (broadly defined). Some travel support for students is available.

For more details (including the registration form), see the event website:

Organising committee:

Li Chen

Nam Ho-Nguyen

Dmytro Matsypura

Joint meeting of the NZMS, AustMS and AMS

Call for Abstracts in the Special Session “Optimisation”

Dear friends and colleagues,

The Joint Meeting of the New Zealand, Australian and American Mathematical Societies will take place from the 9th to the 13th of December 2024 at the University of Auckland, New Zealand. A website for the conference is available at:

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 Defeng Sun (Hong Kong Polytechnic University) and Christiane Tammer (Martin-Luther-University Halle-Wittenberg) as our keynote speakers.

As the session will have a maximum of 25 speakers, please let us know your interest to present by October 18, 2024.

We welcome participation of Early Career Researchers and doctoral students in our special session. Speakers can submit abstracts for each session, and also register for the conference, through the registration link:

Please be advised that the cheaper Early Bird fees close on October 25, 2024.

We look forward to meeting you at the conference.

Best wishes,

Minh Dao, RMIT University

James Foster, CSIRO

Andrea Raith, University of Auckland

Matthew Tam, University of Melbourne

Golbon Zakeri, University of Massachusetts Amherst

(Session Organisers)

MOCAO lectures, July, 19

The last talk is tomorrow (11AM, AEST)

Speaker: Bruno F. Lourenço

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Title: Facial reduction and applications

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Abstract:

Conic linear programs (CLPs) are a far-reaching generalization of classical linear programs. However, general CLPs may suffer from certain theoretical illnesses that make them significantly more challenging to solve in comparison to LPs. 

In this context, facial reduction, a technique originally developed by Borwein and Wolkowicz, can be used to improve the theoretical properties of CLPs and make them more manageable.

In this lecture, we will present a basic overview of facial reduction together with a few applications and recent developments. 

Zoom:

https://unsw.zoom.us/j/89239495027?pwd=zMmvAkAmFZVQ4SzBhQkz6CuH4nuxwu.1

Registration for urgent updates: https://forms.gle/CGhNt3bssmqLMXcj6

Looking forward to seeing you tomorrow.

Nadia

MOCAO lectures: July, 18

Dear MOCAO lectures participants.

All the videos will be available on our YouTube channel later, there will be an additional announcement.

Our next speaker (Thur, July 18, 11AM AEST) is Dr Isabelle Shankar.

Title: The dual of a convex body

Abstract: Duality in convex geometry arises naturally in optimization by asking a simple question: given a maximizer to a convex optimization problem, how can we certify that it is indeed optimal? This leads to the definition of normal cone and quickly after to the dual of a convex body, which is itself a convex body. We’ll discuss examples including polytopes and extend the theory to conic duality.

Zoom:

https://unsw.zoom.us/j/89239495027?pwd=zMmvAkAmFZVQ4SzBhQkz6CuH4nuxwu.1

Registration for urgent updates: https://forms.gle/CGhNt3bssmqLMXcj6

Looking forward to seeing you tomorrow.

Nadia

MOCAO lectures: A/Prof Vera Roshchina, UNSW

Lectures on Convex Geometry

A/Prof Vera Roshchina, UNSW.

Monday, July, 15-Wednesday, July, 17, 11AM each day (AEST)

We go over the basics of facial structure of convex sets, starting with the finite dimensional setting. We review the tools that help study geometric properties of convex sets and to construct convex sets with desirable properties. We then focus on structured convex problems, predominantly those defined algebraically (through matrix and polynomial inequalities and representations). Finally, we review some properties and behaviours of convex sets that are specific to the infinite-dimensional setting. The fundamental mathematical ideas and phenomena will be contextualised in optimisation applications, including conic programming and projection methods.

Zoom:

https://unsw.zoom.us/j/89239495027?pwd=zMmvAkAmFZVQ4SzBhQkz6CuH4nuxwu.1

Registration for urgent updates: https://forms.gle/CGhNt3bssmqLMXcj6

MOCAO lectures: time and speakers

We are pleased to announce the 2024 MoCaO Lectures in Computation and Optimisation. For 2024 we
are focusing on Geometry and Convexity in Computation. These one-hour lectures will be held each day, and all lectures will be broadcast via Zoom.

July 15-19, 2024, 11am-12 pm AEST (GMT+10) each day

Speakers:

A/Prof Vera Roshchina (University of New South Wales): July 15-17;

Dr Isabelle Shankar (Portland State University): July, 18;

A/Prof Bruno F. Lourenço (Institute of Statistical Mathematics, Japan): July, 19.

The zoom link will be published on our website.

Registration: https://forms.gle/CGhNt3bssmqLMXcj6

MOCAO list update

Dear MOCAO members. Please note that the list of MOCAO members has been updated (as per 2024).

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