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Improving Revenue by System Integration and Cooperative Optimization

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Title: Improving Revenue by System Integration and Cooperative Optimization Author: Sven Grothklags, Georg Kliewer, Klaus Weber Last modified by – PowerPoint PPT presentation

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Title: Improving Revenue by System Integration and Cooperative Optimization


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Introduction
  • Goals of SP3 Large Scale Optimization
  • Long term
  • new approximation theory, methodological
    framework and software implementations for
    large-scale optimization problems.
  • Short term
  • Identification of key problems, initial
    modellings, approximation algorithms for
    large-scale optimization problems.

Large-scale wired networks, network problems,
wireless networks

Algorithms

Implementations

Approximation theory

Documentation

3
Introduction
  • Structure of SP3 Large Scale Optimization

WP 3.3 Foundations Of Wireless Networks

WP 3.1 Approximation Techniques for Large-Scale
Optimization

WP 3.2 Optimization Methods for Large-Scale
Communication and Transportation Networks and
the Web
WP 3.4 A Compendium of Large-Scale Optimization
Problems
4
Introduction
  • Publications
  • Total
  • ??? conference / journal papers, ??? reports
    under submission
  • Last 12 Month
  • ??? conference / journal papers, ??? reports
    under submission

5
Introduction
  • Deliverables due at month 24

D3.1.3 Establishment of Basic Methodological
Framework of Nonlinear Optimization
Approaches for Large-Scale Optimization Problems
D3.2.2 Initial Modeling of Selected Problems
for Communication/Transportation
Networks D3.3.3 Assessment of Developed
Algorithmic Techniques D3.4.3 Initial
Experimental Studies of Selected Problems
6
External Memory (Meyer Ajwani, MPII)
  • main memory size ltlt problem size
  • external memory D disks
  • data is transferred in blocks of size B
  • up to D B data per I/O operation
  • Goal minimize number of I/O operations

scan(x) O( x / (D B) )
sort(x) O( x / (D B) logM/B (x/B) )
7
Breadth First Search (BFS)
8
Breadth First Search (BFS)
9
External BFS Motivation
  • Solving real world optimization problem often
    boils down to structured graph traversal
  • Crawling, analyzing the WWW
  • Generalizations Shortest Paths, A
  • Route planning using small navigation devices
    with flash memory cards
  • State space exploration

10
External BFS Experimental Study
A computational study of three BFS-algorithms
from the literature D. Ajwani, R. Dementiev, U.
Meyer, SODA'05 (DELIS-TR-0276)
Internal-memory algorithm
Munagala, Ranade SODA'99
Mehlhorn, Meyer ESA'02
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The End
Thank you!
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