Boyle Broadie Glasserman Mc Overview Jedc
Past and Future Climate Simulation Lecture 3 – GCMs: parameterisations (1) From last time – discretising the advection equation (2) Parameterisations:
Insert Date HereSlide 1 Using Derivative and Integral Information in the Statistical Analysis of Computer Models Gemma Stephenson March 2007.
Optimization with surrogates Zooming – Construct surrogate, optimize objective, refine region and surrogate, repeat. – Danger: Miss optima. Adaptive sampling.
Tutorial 1: Sensitivity analysis of an analytical function.
Math modeling
Notched Concrete Beams Under Bending-calculations of Size Effects Within Stochastic Elasto-plasticity With Non-local Softening
How do we generate the statistics of a function of a random variable? – Why is the method called “Monte Carlo?” How do we use the uniform random number.
Impact of climate uncertainty upon trends in outputs generated by an ecosystem model Adam Butler & Glenn Marion, Biomathematics & Statistics Scotland Ruth.
Equation-Free (EF) Uncertainty Quantification (UQ): Techniques and Applications Ioannis Kevrekidis and Yu Zou Princeton University September 2005.
Impact of climate uncertainty upon trends in outputs generated by an ecosystem model
Parameterizing Cloud Layers and their Microphysics Vincent E. Larson Atmospheric Science Group, Dept. of Math Sciences University of Wisconsin --- Milwaukee.
