'Variance reduction' presentation slideshows

Plan for course

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Monte Carlo Integration II

Monte Carlo Integration II. Digital Image Synthesis Yung-Yu Chuang. with slides by Pat Hanrahan and Torsten Moller. variance = noise in the image. without variance reduction. with variance reduction. Same amount of computation for rendering this scene with glossy reflection.

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NEURAL VARIATIONAL IDENTIFICATION AND FILTERING

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Advanced Computer Graphics (Spring 2013)

Advanced Computer Graphics (Spring 2013). CS 283, Lecture 11: Monte Carlo Path Tracing Ravi Ramamoorthi. http:// inst.eecs.berkeley.edu /~cs283 /sp13. Acknowledgements and some slides: Szymon Rusinkiewicz and Pat Hanrahan. Motivation.

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An Approximate Global Illumination System for Computer Generated Films

An Approximate Global Illumination System for Computer Generated Films. presented by: Yu-Jen Chen. The main idea of this paper. Lighting models used in the production of CG feature animation have to be flexible , easy to control , and efficient to compute .

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??? Monte Carlo ??

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Basic Statistics and Monte-Carlo Method -2

Applied Statistical Mechanics Lecture Note - 10. Basic Statistics and Monte-Carlo Method -2. ????? ??????? ???. Table of Contents. General Monte Carlo Method Variance Reduction Techniques Metropolis Monte Carlo Simulation. 1.1 Introduction. Monte Carlo Method

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NEW VERSION OF ISOLA SOFTWARE TO INVERT FULL WAVEFORMS INTO SEISMIC SOURCE MODELS

NEW VERSION OF ISOLA SOFTWARE TO INVERT FULL WAVEFORMS INTO SEISMIC SOURCE MODELS. Efthimios Sokos 1) and Jiri Zahradnik 2) 1) University of Patras, Greece 2) Charles University in Prague, Czech Republic. http://seismo.geology.upatras.gr/isola. ISOL ated A sperities. Time.

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Validation of Simulation Model

Validation of Simulation Model. Important but neglected. The question is How accurately does a simulation model (or, for that matter, any kind of model) reflect the operations of a real-life system ?

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Ensemble Classification Methods

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Ensemble Classification Methods

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Sample Approximation Methods for Stochastic Program

Sample Approximation Methods for Stochastic Program. Jerry Shen Zeliha Akca. March 3, 2005. Two-Stage SP with Recourse. Where : Expected recourse cost of choosing x in first stage. Interior sampling methods. LShaped Method (Dantzig and Infanger)

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Chapter 1 What is Simulation?

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Numerical Methods for Option Pricing

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G4GeneralParticleSource Class:

G4GeneralParticleSource Class: Developed by ESA as the space radiation environment is often quite complex in energy and angular distribution, and requires more sophisticated sampling algorithms than for typical high-energy physics studies.

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