Dimension reduction in physical and data sciencesApr 1 - 3, 2019Department of Mathematics, Duke University |
ABSTRACTThe meeting will focus on dimension reduction techniques in physical and data sciences. Themes including 1. Practical schemes for dimensional reduction in dynamical systems; 2. Dimension reduction based on randomization and compressed sensing; 3. Emerging techniques for high dimensional problems based on dimension reduction. Mornings will be devoted to talks and the afternoons to discussions / collaborations.
REGISTRATION REQUESTEDInvited participants can RSVP and provide the additional requested information about their stay, including the title and abstract of proposed talks, here. Applications for participation can be made through the Online Application. Applicants who are also interested in making a poster presentation can specify their preference to do so in the “comments section” of their application. Due to space limitations, these requests are subject to approval by the organizers. ORGANIZERS |
CONFIRMED PARTICIPANTSFUNDINGA limited amount of travel and local lodging is available for researchers in the early stages of their career who want to attend the full program, especially for graduate students and post-doctoral fellows. INFORMATION FOR PARTICIPANTSDepartment of Mathematics, Duke University (Duke) Email: jianfeng@math.duke.edu ACKNOWLEDGMENTFunding provided by the NSF through the KI-net Grant. |