Meetings/Workshops on Applied Mathematics (in general) in Singapore

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1
Data Stream Algorithms
13 Jul 2020 - 21 Jul 2020 • Singapore, Singapore
Organizer:
Institute for Mathematical Sciences/National University of Singapore
Abstract:
The more data we have, the more data we need to process. Whether it is internet traffic or biological data, the hardware is never fast enough. The aim of this workshop is to focus on analysing data under new models: when the data cannot be stored (e.g., identifying viruses in the Internet traffic), when we use multiple cores to analyse the data, and when we are generating short sketches of the data to be sent and analysed by someone else. We believe a new set of algorithmic techniques (which rely mostly on statistics and on data structures) can be used in these models, and wish to find such techniques and employ them. An important focus of this workshop is to find algorithms which are elegant, and thus can also be used in practice. To develop these algorithms, it is critical to connect the key subareas of algorithmic research on big data. These key subareas include streaming, sketching, and sampling. The goal of the workshop is to bring researchers together from these different sub-areas and to establish strong collaborations among the attendees.
Event listing ID:
1240652
2
Optimization in the Big Data Era
03 Aug 2020 - 28 Aug 2020 • Singapore, Singapore
Organizer:
Institute for Mathematical Sciences/National University of Singapore
Abstract:
The field of optimization has undergone tremendous growth in its applications in science, engineering, business and finance in the past few decades. The growth has accelerated in recent years with the advent of big data analytics where optimization forms the core engine for solving and analyzing the underlying models and problems of extracting meaningful information from available data for the purpose of better decision making or getting better insights into the data sources. Spurred by the application needs and motivated by new emerging models in machine learning and data analytics, optimization research (in theory and algorithms) has also undergone rapid transformation and progress in recent years. In particular, demands for fast algorithms to solve extremely large-scale optimization problems arising from big data analytics have spurred numerous exciting new research directions in optimization theory and algorithms. The latter in turn helps to shape the development of optimization models and techniques in machine and statistical learning.
Event listing ID:
1240640
3
22nd International Conference on Formal Engineering Methods
02 Nov 2020 - 06 Nov 2020 • Singapore, Singapore
Organizer:
Institute for Mathematical Sciences/National University of Singapore
Event listing ID:
1240747
Event website:
4
International Workshop on Reduced Order Methods
17 May 2021 - 21 May 2021 • Singapore, Singapore
Organizer:
Institute for Mathematical Sciences/National University of Singapore
Abstract:
This is a one-week program gathering mathematicians, engineers, and scientists interested in reduced order models and methods (ROMs) for systems of partial differential equations. The general idea behind ROMs is to derive a low-dimensional model from a high-dimensional model, by integrating techniques from data science, modeling, and simulation, in order to obtain accurate and reliable results at greatly reduced computational costs.
Event listing ID:
1240829


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Last updated: 18 June 2019