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SAS/Or 9.22 User's Guide: Local Search Optimization
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SAS/Or 9.22 User's Guide: Local Search Optimization - Paperback

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ID: 9781607645450

Internationaler Buchtitel. In englischer Sprache. Verlag: SAS INST (NC), 104 Seiten, L=210mm, B=280mm, H=5mm, Gew.=254gr, [GR: 26280 - TB/Mathematik/Wahrscheinlichkeitstheorie], [SW: - Computers - Other Applications], Kartoniert/Broschiert, Klappentext: Describes the syntax and use of the GA procedure for optimization using genetic algorithms, which employ modeling methods and search techniques that mimic the evolution of biological/physical populations. Many optimization problems that are difficult or impossible to model and solve by using traditional optimization methods can be addressed very effectively by using the genetic algorithms methods available in PROC GA. This title is intended for readers who have some previous experience both with SAS and with mathematical optimization. Describes the syntax and use of the GA procedure for optimization using genetic algorithms, which employ modeling methods and search techniques that mimic the evolution of biological/physical populations. Many optimization problems that are difficult or impossible to model and solve by using traditional optimization methods can be addressed very effectively by using the genetic algorithms methods available in PROC GA. This title is intended for readers who have some previous experience both with SAS and with mathematical optimization.

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Sas/or 9.22 User's Guide: Local Search Optimization - Sas Institute
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ISBN: 9781607645450

Describes the syntax and use of the GA procedure for optimization using genetic algorithms, which employ modeling methods and search techniques that mimic the evolution of biological/physical populations. Many optimization problems that are difficult or impossible to model and solve by using traditional optimization methods can be addressed very effectively by using the genetic algorithms methods available in PROC GA. This title is intended for readers who have some previous experience both with SAS and with mathematical optimization. Sas Institute, Books, Sas/or 9.22 User's Guide: Local Search Optimization Books Describes the syntax and use of the GA procedure for optimization using genetic algorithms, which employ modeling methods and search techniques that mimic the evolution of biological/physical populations. Many optimization problems that are difficult or impossible to model and solve by using traditional optimization methods can be addressed very effectively by using the genetic algorithms methods available in PROC GA. This title is intended for readers who have some previous experience both with SAS and with mathematical optimization.

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SAS/OR 9.22 User's Guide: Local Search Optimization - SAS Institute
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SAS/OR 9.22 User's Guide: Local Search Optimization - Paperback

ISBN: 1607645459

Paperback, [EAN: 9781607645450], SAS Institute, SAS Institute, Book, [PU: SAS Institute], SAS Institute, 71, Computing & Internet, 269189, Certification, 269265, Computer Science, 269899, Databases, 14288081, Digital Lifestyle, 14288151, Digital Music, 13731411, Digital Photography, 14263921, Digital Video, 269655, Hardware, 10781841, Mac OS, 269602, Microsoft Windows, 269520, Networking & Security, 403958, New to Computing, 408230, PC & Video Games, 14224461, Professionals, 269678, Programming, 269870, Software & Graphics, 269623, UNIX & Linux, 269406, Web Development, 1025612, Subjects, 266239, Books, 278385, Probability & Statistics, 278320, Mathematics, 57, Science & Nature, 1025612, Subjects, 266239, Books, 570878, Statistics & Probability, 570874, Applied Mathematics, 564352, Mathematics, 564334, Scientific, Technical & Medical, 1025612, Subjects, 266239, Books

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Sas/or 9.22 User's Guide: Local Search Optimization - Sas Institute
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Describes the syntax and use of the GA procedure for optimization using genetic algorithms, which employ modeling methods and search techniques that mimic the evolution of biological/physical populations. Many optimization problems that are difficult or impossible to model and solve by using traditional optimization methods can be addressed very effectively by using the genetic algorithms methods available in PROC GA. This title is intended for readers who have some previous experience both with SAS and with mathematical optimization. Sas Institute, Books, Sas/or 9.22 User's Guide: Local Search Optimization Books, SAS Institute Inc.

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SAS/Or 9.22 User's Guide: Local Search Optimization - Paperback

ISBN: 9781607645450

[ED: Taschenbuch], [PU: SAS INST (NC)], Describes the syntax and use of the GA procedure for optimization using genetic algorithms, which employ modeling methods and search techniques that mimic the evolution of biological/physical populations. Many optimization problems that are difficult or impossible to model and solve by using traditional optimization methods can be addressed very effectively by using the genetic algorithms methods available in PROC GA. This title is intended for readers who have some previous experience both with SAS and with mathematical optimization. Versandfertig in 6-10 Tagen, [SC: 0.00]

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SAS/Or 9.22 User's Guide: Local Search Optimization

Describes the syntax and use of the GA procedure for optimization using genetic algorithms, which employ modeling methods and search techniques that mimic the evolution of biological/physical populations. Many optimization problems that are difficult or impossible to model and solve by using traditional optimization methods can be addressed very effectively by using the genetic algorithms methods available in PROC GA. This title is intended for readers who have some previous experience both with SAS and with mathematical optimization.

Details of the book - SAS/Or 9.22 User's Guide: Local Search Optimization


EAN (ISBN-13): 9781607645450
ISBN (ISBN-10): 1607645459
Paperback
Publishing year: 2010
Publisher: SAS INST (NC)
104 Pages
Weight: 0,254 kg
Language: eng/Englisch

Book in our database since 28.05.2011 20:54:21
Book found last time on 25.07.2015 18:28:28
ISBN/EAN: 9781607645450

ISBN - alternate spelling:
1-60764-545-9, 978-1-60764-545-0


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