This work reviews the most important results regarding the use of the ?-point in Scheduling Theory. It provides a number of different LP-relaxations for scheduling problems and seeks to explain their polyhedral consequences. It also explains the concept of the ?-point and how the conversion algorithm works, pointing out the relations to the sum of the weighted completion times. Lastly, the book explores the latest techniques used for many scheduling problems with different constraints, such as release dates, precedences, and parallel machines. This reference book is intended for advanced undergraduate and postgraduate students who are interested in scheduling theory. It is also inspiring for researchers wanting to learn about sophisticated techniques and open problems of the field.
| ISBN: | 9783319775272 |
| Publication date: | 14th May 2018 |
| Author: | Nicoló Gusmeroli |
| Publisher: | Springer an imprint of Springer International Publishing |
| Format: | Paperback |
| Pagination: | 53 pages |
| Series: | SpringerBriefs in Mathematics |
| Genres: |
Operational research Discrete mathematics Geometry Optimization Applied mathematics Algorithms and data structures |
This work reviews the most important results regarding the use of the ?-point in Scheduling Theory. It provides a number of different LP-relaxations for scheduling problems and seeks to explain their polyhedral consequences.
Machine Scheduling to Minimize Weighted Completion Times features in the following genres: Operational research, Discrete mathematics, Geometry, Optimization, Applied mathematics, Algorithms and data structures
Paperback. Not Available.
Machine Scheduling to Minimize Weighted Completion Times was written by Nicoló Gusmeroli and published by Springer an imprint of Springer International Publishing
Machine Scheduling to Minimize Weighted Completion Times has 53 pages
Yes it is part of SpringerBriefs in Mathematics series