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Aug 2008
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Week1
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Week2
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5
Willmore submanifolds in a Riemannian manifold>Willmore submanifolds in a Riemannian manifold
Golbarg-Trudinger, second order, Elliptic PDE>Golbarg-Trudinger, second order, Elliptic PDE
Willmore submanifolds in a Riemannian manifold>Willmore submanifolds in a Riemannian manifold
Student seminar on PDE>Student seminar on PDE
6
Joint NCTS-TIMS Mini-Workshop on Strongly Nonlinear Wave Equations>Joint NCTS-TIMS Mini-Workshop on Strongly Nonlinear Wave Equations
7
On the h-p multi-quadratic basis functions for Poisson Equation>On the h-p multi-quadratic basis functions for Poisson Equation
Well-conditioned basis method>Well-conditioned basis method
Well-conditioned basis method>Well-conditioned basis method
On the h-p multi-quadratic basis functions for Poisson Equation>On the h-p multi-quadratic basis functions for Poisson Equation
8
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Week3
10
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12
Golbarg-Trudinger, second order, Elliptic PDE>Golbarg-Trudinger, second order, Elliptic PDE
Review of the paper “Analysis of interval-censored longitudinal data with application to onco-haematology”>Review of the paper “Analysis of interval-censored longitudinal data with application to onco-haematology”
Student seminar on PDE>Student seminar on PDE
Statistical Methodology>Statistical Methodology
13
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Week4
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19
Golbarg-Trudinger, second order, Elliptic PDE>Golbarg-Trudinger, second order, Elliptic PDE
Water mixing facilitates the temporal changes in microbial community and affects the carbon cycle in the oceans>Water mixing facilitates the temporal changes in microbial community and affects the carbon cycle in the oceans
Water mixing facilitates the temporal changes in microbial community and affects the carbon cycle in the oceans>Water mixing facilitates the temporal changes in microbial community and affects the carbon cycle in the oceans
Student seminar on PDE>Student seminar on PDE
20
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Week5
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26
Potential sampling bias of regression models and evolving population models>Potential sampling bias of regression models and evolving population models
Statistical Methodology>Statistical Methodology
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Week6
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