This book provides a good opportunity for computer science practitioners and researchers to get in sync with current state-of-the-art and future trends in the field of combinatorial optimization and online algorithms. Recent advances in this area are presented focusing on the design of efficient approximation and on-line algorithms. One central idea in the book is to use a linear program relaxation of the problem, randomization and rounding techniques.
Reihe
Auflage
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für Beruf und Forschung
Research
Illustrationen
Maße
Höhe: 23.5 cm
Breite: 15.5 cm
Gewicht
ISBN-13
978-3-540-32212-2 (9783540322122)
DOI
Schweitzer Klassifikation
Contributed Talks.- On Approximation Algorithms for Data Mining Applications.- A Survey of Approximation Results for Local Search Algorithms.- Approximation Algorithms for Path Coloring in Trees.- Approximation Algorithms for Edge-Disjoint Paths and Unsplittable Flow.- Independence and Coloring Problems on Intersection Graphs of Disks.- Approximation Algorithms for Min-Max and Max-Min Resource Sharing Problems, and Applications.- A Simpler Proof of Preemptive Total Flow Time Approximation on Parallel Machines.- Approximating a Class of Classification Problems.- List Scheduling in Order of ?-Points on a Single Machine.- Approximation Algorithms for the k-Median Problem.- The Lovász-Local-Lemma and Scheduling.
