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Grant Award View - GA64786
Nonmonotone Algorithms in Operator Splitting, Optimisation and Data...
GA ID:
GA64786
Agency:
Australian Research Council
Approval Date:
4-Dec-2019
Publish Date:
5-Dec-2019
Category:
Science, Technology, Engineering and Mathematics (STEM) Research
Grant Term:
4-Jun-2020 to 9-Sep-2023
Original: 1-Jan-2020 to 31-Dec-2022
Value (AUD):
$423,504.00
(GST inclusive where applicable)
Original:
$394,398.00
Variations:
- GA64786-V5 - Variation to Grant (24-May-2022 )
- GA64786-V4 - Variation to Grant (14-Oct-2021 )
- GA64786-V3 - Variation to Grant (2-Aug-2021 )
- GA64786-V2 - Variation to Grant (30-Mar-2021 )
- GA64786-V1 - Variation to Grant (7-Apr-2020 )
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 19/20 Discovery
Grant Program:
Discovery Early Career Researcher Award
Grant Activity:
Nonmonotone Algorithms in Operator Splitting, Optimisation and Data Science
Purpose:
This project aims to develop the mathematical foundations for the analysis and development of optimisation algorithms used in data science. Despite their now ubiquitous use, machine learning software packages routinely rely on a number of algorithms from mathematical optimisation which are not properly understood. By moving beyond the traditional realms of Fejér monotone algorithms, this project expects to develop the mathematical theory required to rigorously justify the use of such algorithms and thereby ensure the integrity of the decision tools they produce. This mathematical framework is also expected to produce new algorithms for optimisation which benefit consumers of data science such as the health-care and cybersecurity sectors.
GO ID:
GO Title:
Discovery Early Career Researcher Award for funding commencing in 2020
Internal Reference ID:
DE20 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
The University of Melbourne
Original: RMIT University
Recipient ABN:
84 002 705 224
Original:
49 781 030 034
Grant Recipient Location
Suburb:
UNIVERSITY OF MELBOURNE
Town/City:
UNIVERSITY OF MELBOURNE
Postcode:
3010
State/Territory:
VIC
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
VIC
Postcode:
3010
Country:
AUSTRALIA