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Machine Scheduling to Minimize Weighted Completion Times - The Use of the -point (Paperback, 1st ed. 2018) Loot Price: R1,529

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Repayment Terms: R143 pm x 12*

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Machine Scheduling to Minimize Weighted Completion Times - The Use of the -point (Paperback, 1st ed. 2018): Nicolo Gusmeroli

Machine Scheduling to Minimize Weighted Completion Times - The Use of the -point (Paperback, 1st ed. 2018)

Nicolo Gusmeroli

Series: SpringerBriefs in Mathematics

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Loot Price R1,529 Discovery Miles 15 290 | Repayment Terms: R143 pm x 12*

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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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	SpringerBriefs in Mathematics
Release date:	May 2018
First published:	2018
Authors:	Nicolo Gusmeroli
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	53
Edition:	1st ed. 2018
ISBN-13:	978-3-319-77527-2
Categories:	Books > Science & Mathematics > Mathematics > Numerical analysis Books > Business & Economics > Business & management > Management & management techniques > Operational research Books > Science & Mathematics > Mathematics > Geometry > General Books > Science & Mathematics > Mathematics > Optimization > General Books > Science & Mathematics > Mathematics > Applied mathematics > General Promotions
LSN:	3-319-77527-8
Barcode:	9783319775272