Computational Combinatorial Optimization: Optimal or Provably Near-Optimal Solutions
β Scribed by Alexander Martin (auth.), Michael JΓΌnger, Denis Naddef (eds.)
- Publisher
- Springer
- Year
- 2001
- Tongue
- English
- Leaves
- 310
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Subjects
Numeric Computing
π SIMILAR VOLUMES
<p>This tutorial contains written versions of seven lectures on Computational Combinatorial Optimization given by leading members of the optimization community. The lectures introduce modern combinatorial optimization techniques, with an emphasis on branch and cut algorithms and Lagrangian relaxatio
<p>This tutorial contains written versions of seven lectures on Computational Combinatorial Optimization given by leading members of the optimization community. The lectures introduce modern combinatorial optimization techniques, with an emphasis on branch and cut algorithms and Lagrangian relaxatio
<p>This tutorial contains written versions of seven lectures on Computational Combinatorial Optimization given by leading members of the optimization community. The lectures introduce modern combinatorial optimization techniques, with an emphasis on branch and cut algorithms and Lagrangian relaxatio
<span>This tutorial contains written versions of seven lectures on Computational Combinatorial Optimization given by leading members of the optimization community. The lectures introduce modern combinatorial optimization techniques, with an emphasis on branch and cut algorithms and Lagrangian relaxa
MODELING and OPTIMIZATION of OPTICAL COMMUNICATION NETWORKS Optical networks are an integral part of many of the technologies that we use every day. It is a constantly changing and evolving area, with new materials, processes, and applications coming online almost daily. This book provides a b