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Applied Mathematics Seminar: Magic, Gandhi, and balding: matrix methods for stochastic dynamic programming

Speaker: Jody Reimer, University of Utah
Abstract: What unites all of the things listed in this title? You'll have to show up to find out. This work is based on the concept of tradeoffs, a central idea in ecology and evolutionary biology. For example, the evolution of life history strategies is often framed in the language of tradeoffs. Behavioural ecologists may be interested in the tradeoffs inherent in the allocation of time (e.g., between foraging and vigilance) and resources (e.g., how much energy to invest in a reproductive attempt). Conservationists and wildlife managers must also consider tradeoffs between cost, political pressures, and management goals. Stochastic dynamic programming (SDP) is a powerful and flexible method for exploring optimal tradeoffs and has been used in a broad range of applications. In the last 30 years, concomitant with the development of SDP methods in ecology and evolution, matrix methods have emerged as another powerful tool for analyzing ecological systems.

When

Friday, February 14, 2020 | 3:30 pm - 4:30 pm

Where

Animal Science
   Room: 119

Event Type

Conference/Seminar

Department

Mathematics and Statistics

Target Audience

Students, Faculty

Website

http://math.usu.edu/seminars-and-colloquia

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Event Contact

Name: Jia Zhao
Phone: 4357971953
Email: jia.zhao@usu.edu



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