Konferenzen zum Thema Angewandte Mathematik (allgem.) in den Vereinigten Staaten (USA)

UCLA / Institute for Pure and Applied Mathematics (IPAM)

Linear algebra is an essential tool in mathematics, science, and engineering, as almost all natural processes are linear in small increments. The most natural generalization of linear algebra is multilinear algebra where matrices are replaced by tensors. While exciting results have emerged from various research communities, there has not been much exchange and collaboration between theoreticians and developers of practical algorithms. The aim of this long term program is to bring together experts and junior participants from different fields and experiences, to exchange ideas, tackle challenges, collaborate, and advances the general field of tensor methods. We foresee this program to be a milestone platform for the future development of the research area and to have a long standing impact.

MRSI – Mathematical Sciences Research Institute, Berkeley

This summer school will introduce graduate students to sketching-based approaches to computational linear and multi-linear algebra. Sketching here refers to a set of techniques for compressing a matrix, to one with fewer rows, or columns, or entries, usually via various kinds of random linear maps. We will discuss matrix computations, tensor algebras, and such sketching techniques, together with their applications and analysis.

Kurse und Veranstaltungen für Studenten der Mathematik,    Informations & Wissensmanagement, Big Data Computing

Society for Industrial and Applied Mathematics (SIAM)

This Conference is an outgrowth of the new SIAM Activity Group on ACDA, founded last year, which aims to create a professional home for the broad, dispersed community of researchers working on applications of discrete mathematics. In particular, we want to foster a rich interplay between concrete applications and theoretical advancement/algorithm development for combinatorial problems. As such, we would like the ACDA conference to be an attractive meeting for researchers working on applied discrete math within many communities – including combinatorial scientific computing, discrete computational biology, theoretical computer science, network science, combinatorial optimization, algorithm engineering, parallel algorithms and more.

Numerische Analysis,    Algorithmen und Datenstrukturen

Society for Industrial and Applied Mathematics (SIAM)

The purpose of this conference is to highlight the major theoretical advances in the field, the development of new tools for discrete mathematics, and the most significant of the new applications of discrete mathematics to problems arising in industry and business. The conference also seeks to bring together participants from the many different environments where discrete mathematics is developed and applied.

This is the meeting of the SIAM Activity Group on Discrete Mathematics.

Numerische Analysis,    Algorithmen und Datenstrukturen

UC Santa Barbara, Kavli Institute for Theoretical Physics (KITP)

The theoretical understanding of the Earth system has fundamentally advanced in recent decades in parallel to an exponential increase of observations and modeling data. However, climate scientists cannot meet the challenge of informing society about changes that may occur in the future at regional and local scales because many two-way, multi-scale processes that encompass the physical chemical and biological realms continue to elude us. Big data and the associated algorithms (Machine Learning) provide the opportunity to learn about quantities related to the climate systems in ways and with an amount of detail that were infeasible only a few years ago. The opportunity for descriptive inference creates the chance for climate scientists to ask causal questions and create new theories or validate old ones. Furthermore, when paired with modeling experiments or robust research in model parameterizations, “big data” can provide data-driven answers to vexing questions.

This conference will set the stage for exchanging tools and ideas and will help identify key problems where consistent progress is achievable through collaborative efforts. The theme of the conference will extend more broadly than the Physics focus of the main program, in order to elicit input from a wide range of experts across the earth system and computational sciences who are involved in the climate change problem. Given the level of interdisciplinarity and exchange that we aim for and expect, this conference will summarize current understanding and open questions, and will set the stage for achieving the aims of the associated KITP program.

Computerphysik und Numerische Simulation,    Meteorologie und Klimaveränderung

The focus of WSC 2021 is on the design and innovation of smart cities through the use of simulation. Smart devices and sensors offer us an amazing opportunity to create our urban future where cities are safe, environmentally secure, green, and efficient and power, water, transportation work seamlessly towards this goal. This vision relies on significant advancement from simulation both in theory and practice as modelling, experimentation and data analysis needs to come together to tackle various challenges. We invite papers that highlight innovations in both simulation theory and applications, with a specific interest in the use of simulation in smart cities design, implementation, development and vision.

Simulation,    Internet der Dinge (IoT) und Sensornetze

This workshop brings together leading experts in quantum numerical linear algebra, to discuss the recent development of quantum algorithms to perform linear algebra tasks for solving challenging problems in science and engineering and for various industrial and technological applications.

Computerphysik und Numerische Simulation,    Wissenschaftliches Rechnen

This workshop will explore a unique combination of data- and model-driven approach by inviting mathematicians and scientists focusing on neurosciences and beyond. We will have an in-depth discussion of data-driven modeling techniques, dynamics reconstruction and characterization over multiple scales treating the underlying systems as structures in space as well as structures in time. Problems to be discussed include: predicting critical transitions from multivariate time series; extracting interactions between brain areas and the effects of anaesthetics; understanding the effects pathologies in the network connectivity and modeling ways to alleviate them; introducing and studying models that depart from functional connectivity. This workshop will include a poster session; a request for posters will be sent to registered participants in advance of the workshop.

Komplexe Netzwerke,    Neurologie