'Computational efficiency' presentation slideshows

Geometric Transformation-2D

Geometric Transformation-2D. Last Updated : 29-02-12. Readings: Hearn Donald, Baker Pauline, Computer Graphics with OpenGL , Third Edition, Prentice Hall, 2004. Chapter 5 Hill, F. S., Kelly S. M., Computer Graphics Using OpenGL , Third Edition, Pearson Education, 2007. Chapter 5

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Grammaticalization, Economy, and Linguistic Cycles

Grammaticalization, Economy, and Linguistic Cycles. Elly van Gelderen ellyvangelderen@asu.edu 16 May 2007, University of Naples www.public.asu.edu/~gelderen/Naples07.ppt. Aims. To present a description of some recurring changes (in the history of Germanic)

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Optimal resource assignment to maximize multistate network reliability for a computer network Yi- Kuei Lin, Cheng-Ta Y

Optimal resource assignment to maximize multistate network reliability for a computer network Yi- Kuei Lin, Cheng-Ta Yeh. Advisor : Professor Frank Y. S. Lin Presented by: Tuan-Chun Chen Presentation date: May 8 , 2012. Agenda. Introduction Problem formulation Development of MSNRA-GA

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COMPARISON OF WAVE EQUATION MIGRATION METHODS WITH PHASE ENCODING

COMPARISON OF WAVE EQUATION MIGRATION METHODS WITH PHASE ENCODING. Jianhua Yu. University of Utah. CONTENTS. . Introduction . Brief Description of Wave Equation Methods: SSF, PSPI, FFD (SSF+FD) . Phase Encoding Algorithm . Numerical Results . Conclusion and future work. CONTENTS.

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Scaling in Biomolecular Solvation Are Proteins Large?

Scaling in Biomolecular Solvation Are Proteins Large?. Ray Luo Molecular Biology and Biochemistry University of California, Irvine. Different levels of abstraction: Approximations in Biomolecules. Quantum description: electronic & covalent structure

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Pseudopotentials and Basis Sets

SUMMER SCHOOL ON COMPUTATIONAL MATERIALS SCIENCE University of Illinois at Urbana-Champaign, June 13-23, 2005 . Pseudopotentials and Basis Sets. How to generate and test them. SUMMER SCHOOL ON COMPUTATIONAL MATERIALS SCIENCE University of Illinois at Urbana-Champaign, June 13-23, 2005 .

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BLAST

BLAST. Finding Function By Sequence Similarity. Concepts of Sequence Similarity Searching. The premise: One sequence by itself is not informative; it must be analyzed by comparative methods against existing sequence databases to develop hypothesis concerning relatives and function. .

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Linear Programming Boosting for Uneven Datasets

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Fast Non-Local Means (NLM) / UINTA Denoising

Fast Non-Local Means (NLM) / UINTA Denoising. Ross T. Whitaker, Suyash P. Awate , Kristen Zygmunt Scientific Computing & Imaging (SCI) Institute. Fast Non-Local Patch-Based Denoising. Fast Non-Local Patch-Based Denoising. Aims

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Further Developments and Applications for the Adjoint of CMAQ

Further Developments and Applications for the Adjoint of CMAQ. Amir Hakami, Kumaresh Singh, Adrian Sandu, John Seinfeld (Carleton, Caltech, Va Tech). 6 th Annual CMAS Conference Chapel Hill October 1, 2007. Overview. Brief introduction to adjoint sensitivity analysis

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Liquid SIMD: Abstracting SIMD Hardware Using Lightweight Dynamic Mapping

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Combined shape and feature-based video analysis and its application to non-rigid object tracking

Combined shape and feature-based video analysis and its application to non-rigid object tracking. ???? 10077034 ??? 2011/11/01 @LAB603. Outline. Introduction Method Background generation and updating Detection of moving object Shape control points

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The Urban Channel Model

Capri Wireless School Sept. 13 -17, 2004. Electromagnetic Propagation in Urban Areas Giorgio Franceschetti University Federico II of Napoli (Italy) and University of California at Los Angeles (UCLA). The Urban Channel Model. Numerical and Graphical Solvers for Urban Propagation

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Reinforcement learning with function approximation for traffic signal control

Reinforcement learning with function approximation for traffic signal control. ADITI BHAUMICK ab3585. OBJECTIVES:. To use reinforcement learning algorithm with function approximation.

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ALD Introduction

Numerical Characterization of Gas Flow in Atomic Layer Deposition (ALD) Vacuum Reactor: a Comparative Study of Lattice Boltzmann Models Dongqing Pan*(dpan@uwm.edu); Chris Yuan. Department of Mechanical Engineering, University of Wisconsin, Milwaukee. ALD Introduction. Objectives.

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Computational Experiments with a Lone-Pair Based Hydrogen-Bonding Energy Function in Mini-Rosetta

D. H. B. A. L2. L1. Computational Experiments with a Lone-Pair Based Hydrogen-Bonding Energy Function in Mini-Rosetta. Alternative: Lone-Pair Energy Function. Standard Hydrogen Bond Energy Function in Rosetta.

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