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MCRN

Introduction to the Mathematics of Climate at UMN - Lecture 22

This is lecture 22 in the series "Introduction to the Mathematics of Climate" offered at the University of Minnesota in 2014 with the support of MCRN and The Institute for Mathematics and its Applications.This lecture treats the phenomenon of exponential growth in errors for chaotic systems, using L…
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MCRN

Chaotic Dynamical Systems: the Horseshoe Map

This is the second part of a series of lectures on chaotic dynamics, and focuses on the Horseshoe Map.This short lecture series was part of the MCRN Mathematics of Climate Modelling Course taught at the University of North Carolina by Chris Jones in 2013. This course was a second year graduate cours…
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MCRN

Introduction to the Mathematics of Climate at UMN - Lecture 21

This is lecture 21 in the series "Introduction to the Mathematics of Climate" offered at the University of Minnesota in 2014 with the support of MCRN and The Institute for Mathematics and its Applications.This lecture introduces the concept of chaos in light of the question "can we predict the futur…
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MCRN

Chaotic Dynamical Systems: the Bernoulli Shift

This is the first part of a series of lectures on chaotic dynamics, and focuses on the Bernoulli shift. This short lecture series was part of the MCRN Mathematics of Climate Modelling Course taught at the University of North Carolina by Chris Jones in 2013. This course was a second year graduate cou…
  • Resource Presentations
QUBES

Biometeorology of Asthma in South Florida: From Statistical Analysis to Mathematical Modeling

This resource has been updated - find the current version here: https://qubeshub.org/publications/251Biometeorology has emerged as an interdisciplinary field dedicated to the study of the mutual influence between living things and the surrounding environment. Within this field, the study of the weat…
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MCRN

Introduction to the Mathematics of Climate at UMN - Lecture 23

This is lecture 23 in the series "Introduction to the Mathematics of Climate" offered at the University of Minnesota in 2014 with the support of MCRN and The Institute for Mathematics and its Applications.This lecture refines the question "can we predict the future?" to the more relevant questions "…
  • Resource Presentations