'Bound algorithm' diaporamas de présentation

Process Optimization

Process Optimization. Mathematical Programming and Optimization of Multi-Plant Operations and Process Design Ralph W. Pike Director, Minerals Processing Research Institute Horton Professor of Chemical Engineering Louisiana State University.

2.79k views • 117 slides

Heuristic Search

Heuristic Search. CMSC 100 Tuesday, November 4, 2008 Prof. Marie desJardins. Summary of Topics. What is heuristic search? Examples of search problems Search methods Uninformed search Informed search Local search Game trees. Building Goal-Based Intelligent Agents.

1.06k views • 61 slides

Outline

Outline. Last time: Molecular biology primer (sections 3.1-3.7) PCR Today: More basic techniques for manipulating DNA (Sec. 3.8) Cutting into shorter fragments Reading fragment lengths Reading DNA sequence Probing presence of specific fragments

774 views • 49 slides

EE360: Lecture 16 Outline Sensor Networks and Energy Efficient Radios

EE360: Lecture 16 Outline Sensor Networks and Energy Efficient Radios. Announcements Poster session W 3/12: 4:30pm setup, 4:45 start, pizza@6 . DiscoverEE days poster session, March 14, 3:30-5:30 , signup at http:// tinyurl.com/EEposter2014 by today. Next HW due March 10

608 views • 47 slides

Efficient Algorithms for Robust Feature Matching

Efficient Algorithms for Robust Feature Matching. Mount, Netanyahu and Le Moigne November 7, 2000 Presented by Doe-Wan Kim. Overview on Image Registration. Where is it used? Integrating information from different sensors Finding changes in images (different time/condition)

480 views • 34 slides

Zhaoming Yin School of CSE, Georgia Tech

Analysis of Real World NP-Complete Graph Problem: DCJ Median Algorithm to Find Ancestor of Genome of Three. Zhaoming Yin School of CSE, Georgia Tech. Foundamentals.

421 views • 33 slides

Population Genetics and Recombination Histories

Population Genetics and Recombination Histories. Finding Minimal Recombination Histories. 1. 2. 3. 4. 1. 2. 3. 1. 4. 2. 3. 4. Population Genetics and Genealogies. Forward in time. Backward in time. NOW. Recombination. Gene Conversion. Coalescent/Duplication. Mutation.

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337 views • 10 slides

WOOD 492 MODELLING FOR DECISION SUPPORT

WOOD 492 MODELLING FOR DECISION SUPPORT. Lecture 19 Branch and Bound Algorithm. IP Solution Approach. Solve the LP relaxation and round the answers Normally the rounded answers are not feasible, or are far from optimal Exhaustive search of all feasible points

215 views • 9 slides

Feature Selection with Branch and Bound

Feature Selection with Branch and Bound. Norman Poh. Steps. Construct an ordered tree satisfying: Traverse the tree from right to left in depth-first search pattern Evaluate the criterion at each level and sort them Prune the tree.

161 views • 9 slides

Branch and Bound Algorithm for Solving Integer Linear Programming

Branch and Bound Algorithm for Solving Integer Linear Programming. Introduction. Branch and Bound is a general optimization method. Starting by considering the original problem, the lower-bounding and upper-bounding procedures are applied to the root problem.

805 views • 8 slides

EE360: Lecture 16 Outline Sensor Networks and Energy Efficient Radios

EE360: Lecture 16 Outline Sensor Networks and Energy Efficient Radios. Announcements Poster session W 3/12: 4:30pm setup, 4:45 start, pizza@6 . DiscoverEE days poster session, March 14, 3:30-5:30 , signup at http:// tinyurl.com/EEposter2014 by today. Next HW due March 10

98 views • 0 slides