Efficient approximation and online algorithms : recent progress on classical combinatorial optimization problems and new applications
著者
書誌事項
Efficient approximation and online algorithms : recent progress on classical combinatorial optimization problems and new applications
（Lecture notes in computer science, 3484）
Springer, c2006
大学図書館所蔵 全13件
注記
Includes bibliographical references and index
"State-of-the-art survey"--On Cover
内容説明・目次
内容説明
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.
目次
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 Lovasz-Local-Lemma and Scheduling.
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