'Optimization techniques' presentation slideshows

STAT 534: Statistical Computing

STAT 534: Statistical Computing. Hari Narayanan harin@uw.edu. Course objectives. Write programs in R and C tailored to specifics of statistics problems you want to solve Familiarize yourself with: optimization techniques Markov Chain Monte Carlo ( mcmc ). Logistics. Class:

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Introduction to Realtime Ray Tracing Course 41

Introduction to Realtime Ray Tracing Course 41. Philipp Slusallek Peter Shirley Bill Mark Gordon Stoll Ingo Wald. 8:30-10:15: Fundamentals. 8:30-9:15 Introduction Course overview (Shirley) Why ray tracing and why now (Slusallek) 9:15-10:15 Basic algorithms (Wald, Stoll)

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CS 182 Lecture 28: Neuroeconomics

CS 182 Lecture 28: Neuroeconomics. J.G. Makin April 27, 2006. Decisions, Uncertainty, and the Brain Paul Glimcher (2003); MIT Press. Thesis: neuroscience has been dominated by the reflex paradigm Alternative: investigations rooted in economics, evolution, game theory, and probability.

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Logistics Network Configuration

Logistics Network Configuration. Outline. What is it? Methodology Modeling Data Aggregation Validation Solution Techniques. The Logistics Network. The Logistics Network consists of: Facilities: Vendors, Manufacturing Centers, Warehouse/ Distribution Centers, and Customers

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Satellites in Our Pockets: An Object Positioning System using Smartphones

Satellites in Our Pockets: An Object Positioning System using Smartphones. Justin Manweiler , Puneet Jain, Romit Roy Choudhury TsungYun 20120827. Outline. Introduction Primitives for Object Localization System Design Evaluation Future Work Conclusion. Introduction.

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Support Vector Machine & Its Applications

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Genetic Algorithms, Search Algorithms

Genetic Algorithms, Search Algorithms. Jae C. Oh. Overview . Search Algorithms Learning Algorithms GA Example. Brief History. Evolutionary Programming Fogel in 1960s Individuals are encoded to be finite state machines Intellgent Behavior Evolutionary Strategies

658 views • 28 slides

Genetic Algorithms, Search Algorithms

Genetic Algorithms, Search Algorithms. Jae C. Oh. Overview . Search Algorithms Learning Algorithms GA Example. Brief History. Evolutionary Programming Fogel in 1960s Individuals are encoded to be finite state machines Intellgent Behavior Evolutionary Strategies

493 views • 28 slides

V8: An Open-Source, High-Performance JavaScript Engine

Kasper Lund October 4, 2008. V8: An Open-Source, High-Performance JavaScript Engine. Who Am I?. Kasper Lund, virtual machine addict 2000-2002: CLDC HI (Sun Microsystems) 2002-2006: Resilient (OOVM) 2006-2008: V8 (Google) Primary areas of interests: Dynamic programming languages

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Hybrid Multi-Core Architecture for Boosting Single-Threaded Performance

Hybrid Multi-Core Architecture for Boosting Single-Threaded Performance. Presented by: Peyman Nov 2007. Overview. Previous Architectures New Hybrid Architecture Possible Benefits Scrutiny Experimental Results Relation to Project. Something Old. CMP (single-Chip Multi-core Processors)

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Research: Group communication in distributed interactive applications Student: Knut-Helge Vik

Research: Group communication in distributed interactive applications Student: Knut-Helge Vik Institute: University of Oslo, Simula Research Labs. Outline. MiSMoSS Motivation Group Communication Application Layer Multicast Tree algorithms Research Conclusions. Real-World Proximity.

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Particle Swarm Optimization applied to Automated Docking

Particle Swarm Optimization applied to Automated Docking. Automated docking of a ligand to a macromolecule Particle Swarm Optimization Multi-objective PSO + Clustering Docking experiments Conclusion. Automated Docking. Predict binding of a ligand molecule to a receptor macromolecule

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Calibration

Calibration. DOH Science Conference July 17, 2008. Mike Smith, Victor Koren, Zhengtao Cui, Seann Reed, Fekadu Moreda. Current Status. AWIPS DHM . HL-RDHM . DHM-TF. P& ET. P, T & ET. (Forecast). Auto Calibration. SNOW -17. rain. rain + melt. SAC-SMA. ICP. SAC-SMA, SAC-HT.

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Self-Tuning Memory Management of A Database System

Self-Tuning Memory Management of A Database System. Yixin Diao diao@us.ibm.com. Memory pools. DB2 Self-Tuning Memory Management. DB2 UDB Server . Technical problems Large systems with varying workloads and many configuration parameters Autonomic computing: systems self-management.

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Embedding Constraint Satisfaction using Parallel Soft-Core Processors on FPGAs

Embedding Constraint Satisfaction using Parallel Soft-Core Processors on FPGAs. Prasad Subramanian, Brandon Eames, Department of Electrical Engineering, Utah State University.

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REU 2006 IE. 1

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