Extensions dynamic programming combinatorial di aboueisha hassan (24 risultati)
Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining
Aboueisha, Hassan; Amin, Talha; Chikalov, Igor; Hussain, Shahid; Moshkov, Mikhail
Lingua: Inglese
Editore: Springer 2018
Serie: Intelligent Systems Reference Library, Libro 119 di 188. Libro 119 di 188 - Intelligent Systems Reference Library
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Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining (Intelligent Systems Reference Library, 146)
AbouEisha, Hassan; Amin, Talha; Chikalov, Igor; Hussain, Shahid; Moshkov, Mikhail
Lingua: Inglese
Editore: Springer 2018
Serie: Intelligent Systems Reference Library, Libro 119 di 188. Libro 119 di 188 - Intelligent Systems Reference Library
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Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining (Intelligent Systems Reference Library, 146)
AbouEisha, Hassan; Amin, Talha; Chikalov, Igor; Hussain, Shahid; Moshkov, Mikhail
Lingua: Inglese
Editore: Springer 2019
Serie: Intelligent Systems Reference Library, Libro 119 di 188. Libro 119 di 188 - Intelligent Systems Reference Library
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining
Aboueisha, Hassan; Amin, Talha; Chikalov, Igor; Hussain, Shahid; Moshkov, Mikhail
Lingua: Inglese
Editore: Springer 2018
Serie: Intelligent Systems Reference Library, Libro 119 di 188. Libro 119 di 188 - Intelligent Systems Reference Library
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Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining
Aboueisha, Hassan; Amin, Talha; Chikalov, Igor; Hussain, Shahid; Moshkov, Mikhail
Lingua: Inglese
Editore: Springer 2018
Serie: Intelligent Systems Reference Library, Libro 119 di 188. Libro 119 di 188 - Intelligent Systems Reference Library
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Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining: 146 (Intelligent Systems Reference Library)
AbouEisha, Hassan; Amin, Talha; Chikalov, Igor; Hussain, Shahid; Moshkov, Mikhail
Lingua: Inglese
Editore: Springer 2019
Serie: Intelligent Systems Reference Library, Libro 119 di 188. Libro 119 di 188 - Intelligent Systems Reference Library
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Condizione: New. Softcover reprint of the original 1st ed. 2019 edition NO-PA16APR2015-KAP.
Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining
Aboueisha, Hassan; Amin, Talha; Chikalov, Igor; Hussain, Shahid; Moshkov, Mikhail
Lingua: Inglese
Editore: Springer 2018
Serie: Intelligent Systems Reference Library, Libro 119 di 188. Libro 119 di 188 - Intelligent Systems Reference Library
- Rilegato
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining (Intelligent Systems Reference Library (146))
AbouEisha, Hassan; Amin, Talha; Chikalov, Igor; Hussain, Shahid; Moshkov, Mikhail
Lingua: Inglese
Editore: Springer 2018
Serie: Intelligent Systems Reference Library, Libro 119 di 188. Libro 119 di 188 - Intelligent Systems Reference Library
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Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining
Aboueisha, Hassan/ Amin, Talha/ Chikalov, Igor/ Hussain, Shahid/ Moshkov, Mikhail
Lingua: Inglese
Editore: Springer-Verlag New York Inc 2018
Serie: Intelligent Systems Reference Library, Libro 119 di 188. Libro 119 di 188 - Intelligent Systems Reference Library
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Hardcover. Condizione: Brand New. 296 pages. 9.25x6.10x1.02 inches. In Stock.
Lingua: Inglese
Editore: Springer International Publishing, Springer International Publishing 2019
Serie: Intelligent Systems Reference Library, Libro 119 di 188. Libro 119 di 188 - Intelligent Systems Reference Library
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Dynamic programming is an efficient technique for solving optimization problems. It is based on breaking the initial problem down into simpler ones and solving these sub-problems, beginning with the simplest ones. A conventional dynamic programmin…g algorithm returns an optimal object from a given set of objects. This book develops extensions of dynamic programming, enabling us to (i) describe the set of objects under consideration; (ii) perform a multi-stage optimization of objects relative to different criteria; (iii) count the number of optimal objects; (iv) find the set of Pareto optimal points for bi-criteria optimization problems; and (v) to study relationships between two criteria. It considers various applications, including optimization of decision trees and decision rule systems as algorithms for problem solving, as ways for knowledge representation, and as classifiers; optimization of element partition trees for rectangular meshes, which are used in finite element methods for solving PDEs; and multi-stage optimization for such classic combinatorial optimization problems as matrix chain multiplication, binary search trees, global sequence alignment, and shortest paths. The results presented are useful for researchers in combinatorial optimization, data mining, knowledge discovery, machine learning, and finite element methods, especially those working in rough set theory, test theory, logical analysis of data, and PDE solvers. This book can be used as the basis for graduate courses.
Lingua: Inglese
Editore: Springer, Springer 2018
Serie: Intelligent Systems Reference Library, Libro 119 di 188. Libro 119 di 188 - Intelligent Systems Reference Library
- Rilegato
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Dynamic programming is an efficient technique for solving optimization problems. It is based on breaking the initial problem down into simpler ones and solving these sub-problems, beginning with the simplest ones. A conventional dynamic programming algor…ithm returns an optimal object from a given set of objects. This book develops extensions of dynamic programming, enabling us to (i) describe the set of objects under consideration; (ii) perform a multi-stage optimization of objects relative to different criteria; (iii) count the number of optimal objects; (iv) find the set of Pareto optimal points for bi-criteria optimization problems; and (v) to study relationships between two criteria. It considers various applications, including optimization of decision trees and decision rule systems as algorithms for problem solving, as ways for knowledge representation, and as classifiers; optimization of element partition trees for rectangular meshes, which are used in finite element methods for solving PDEs; and multi-stage optimization for such classic combinatorial optimization problems as matrix chain multiplication, binary search trees, global sequence alignment, and shortest paths. The results presented are useful for researchers in combinatorial optimization, data mining, knowledge discovery, machine learning, and finite element methods, especially those working in rough set theory, test theory, logical analysis of data, and PDE solvers. This book can be used as the basis for graduate courses.
Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining (Intelligent Systems Reference Library, 146)
AbouEisha, Hassan, Amin, Talha, Chikalov, Igor, Hussain, Sha
Lingua: Inglese
Editore: Springer 2019
Serie: Intelligent Systems Reference Library, Libro 119 di 188. Libro 119 di 188 - Intelligent Systems Reference Library
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Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books
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Lingua: Inglese
Editore: Springer 2019
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Condizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer 2018
Serie: Intelligent Systems Reference Library, Libro 119 di 188. Libro 119 di 188 - Intelligent Systems Reference Library
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, , GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Dynamic programming is an efficient technique for solving optimization problems. It is based on breaking the initial problem down into simpler ones and solving these sub-problems, beginning with the simplest ones. A conventional dy…namic programming algorithm returns an optimal object from a given set of objects. This book develops extensions of dynamic programming, enabling us to (i) describe the set of objects under consideration; (ii) perform a multi-stage optimization of objects relative to different criteria; (iii) count the number of optimal objects; (iv) find the set of Pareto optimal points for bi-criteria optimization problems; and (v) to study relationships between two criteria. It considers various applications, including optimization of decision trees and decision rule systems as algorithms for problem solving, as ways for knowledge representation, and as classifiers; optimization of element partition trees for rectangular meshes, which are used in finite element methods for solving PDEs; and multi-stage optimization for such classic combinatorial optimization problems as matrix chain multiplication, binary search trees, global sequence alignment, and shortest paths. The results presented are useful for researchers in combinatorial optimization, data mining, knowledge discovery, machine learning, and finite element methods, especially those working in rough set theory, test theory, logical analysis of data, and PDE solvers. This book can be used as the basis for graduate courses. 296 pp. Englisch.
Lingua: Inglese
Editore: Springer International Publishing Mai 2018 2018
Serie: Intelligent Systems Reference Library, Libro 119 di 188. Libro 119 di 188 - Intelligent Systems Reference Library
- Rilegato
- Print on Demand
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, , GermaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Dynamic programming is an efficient technique for solving optimization problems. It is based on breaking the initial problem down into simpler ones and solving these sub-problems, beginning with the simplest ones. A conventional dynamic p…rogramming algorithm returns an optimal object from a given set of objects. This book develops extensions of dynamic programming, enabling us to (i) describe the set of objects under consideration; (ii) perform a multi-stage optimization of objects relative to different criteria; (iii) count the number of optimal objects; (iv) find the set of Pareto optimal points for bi-criteria optimization problems; and (v) to study relationships between two criteria. It considers various applications, including optimization of decision trees and decision rule systems as algorithms for problem solving, as ways for knowledge representation, and as classifiers; optimization of element partition trees for rectangular meshes, which are used in finite element methods for solving PDEs; and multi-stage optimization for such classic combinatorial optimization problems as matrix chain multiplication, binary search trees, global sequence alignment, and shortest paths. The results presented are useful for researchers in combinatorial optimization, data mining, knowledge discovery, machine learning, and finite element methods, especially those working in rough set theory, test theory, logical analysis of data, and PDE solvers. This book can be used as the basis for graduate courses. 296 pp. Englisch.
Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining: 146 (Intelligent Systems Reference Library)
AbouEisha, Hassan; Amin, Talha; Chikalov, Igor; Hussain, Shahid; Moshkov, Mikhail
Lingua: Inglese
Editore: Springer 2019
Serie: Intelligent Systems Reference Library, Libro 119 di 188. Libro 119 di 188 - Intelligent Systems Reference Library
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Da: Majestic Books, Hounslow, , Regno UnitoMajestic Books
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Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining
Hassan AbouEisha|Talha Amin|Igor Chikalov|Shahid Hussain|Mikhail Moshkov
Lingua: Inglese
Editore: Springer International Publishing 2019
Serie: Intelligent Systems Reference Library, Libro 119 di 188. Libro 119 di 188 - Intelligent Systems Reference Library
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Da: moluna, Greven, , Germaniamoluna
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents different dynamic programming applications in the areas of (i) optimization of decision trees, (ii) optimization of decision rules and systems of decision rules, (iii) optimization of element partition trees…, which are used in finite elem.
Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining
Hassan AbouEisha|Talha Amin|Igor Chikalov|Shahid Hussain|Mikhail Moshkov
Lingua: Inglese
Editore: Springer International Publishing 2018
Serie: Intelligent Systems Reference Library, Libro 119 di 188. Libro 119 di 188 - Intelligent Systems Reference Library
- Rilegato
- Print on Demand
Da: moluna, Greven, , Germaniamoluna
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents different dynamic programming applications in the areas of (i) optimization of decision trees, (ii) optimization of decision rules and systems of decision rules, (iii) optimization of element partition trees…, which are used in finite elem.
Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining: 146 (Intelligent Systems Reference Library)
AbouEisha, Hassan; Amin, Talha; Chikalov, Igor; Hussain, Shahid; Moshkov, Mikhail
Lingua: Inglese
Editore: Springer 2019
Serie: Intelligent Systems Reference Library, Libro 119 di 188. Libro 119 di 188 - Intelligent Systems Reference Library
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining (Intelligent Systems Reference Library (146))
AbouEisha, Hassan; Amin, Talha; Chikalov, Igor; Hussain, Shahid; Moshkov, Mikhail
Lingua: Inglese
Editore: Springer 2018
Serie: Intelligent Systems Reference Library, Libro 119 di 188. Libro 119 di 188 - Intelligent Systems Reference Library
- Rilegato
- Print on Demand
Da: Majestic Books, Hounslow, , Regno UnitoMajestic Books
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Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining (Intelligent Systems Reference Library (146))
AbouEisha, Hassan; Amin, Talha; Chikalov, Igor; Hussain, Shahid; Moshkov, Mikhail
Lingua: Inglese
Editore: Springer 2018
Serie: Intelligent Systems Reference Library, Libro 119 di 188. Libro 119 di 188 - Intelligent Systems Reference Library
- Rilegato
- Print on Demand
Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Lingua: Inglese
Editore: Springer, Birkhäuser Mai 2018 2018
Serie: Intelligent Systems Reference Library, Libro 119 di 188. Libro 119 di 188 - Intelligent Systems Reference Library
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Dynamic programming is an efficient technique for solving optimization problems. It is based on breaking the initial problem down into simpler ones and solving these sub-problems, beginning with the simplest ones. A conventional dynamic progr…amming algorithm returns an optimal object from a given set of objects. This book develops extensions of dynamic programming, enabling us to (i) describe the set of objects under consideration; (ii) perform a multi-stage optimization of objects relative to different criteria; (iii) count the number of optimal objects; (iv) find the set of Pareto optimal points for bi-criteria optimization problems; and (v) to study relationships between two criteria. It considers various applications, including optimization of decision trees and decision rule systems as algorithms for problem solving, as ways for knowledge representation, and as classifiers; optimization of element partition trees for rectangular meshes, which are used in finite element methods for solving PDEs; and multi-stage optimization for such classic combinatorial optimization problems as matrix chain multiplication, binary search trees, global sequence alignment, and shortest paths. The results presented are useful for researchers in combinatorial optimization, data mining, knowledge discovery, machine learning, and finite element methods, especially those working in rough set theory, test theory, logical analysis of data, and PDE solvers. This book can be used as the basis for graduate courses.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 296 pp. Englisch.
Lingua: Inglese
Editore: Springer, Birkhäuser Jan 2019 2019
Serie: Intelligent Systems Reference Library, Libro 119 di 188. Libro 119 di 188 - Intelligent Systems Reference Library
- Brossura
- Print on Demand
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 106,99
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Dynamic programming is an efficient technique for solving optimization problems. It is based on breaking the initial problem down into simpler ones and solving these sub-problems, beginning with the simplest ones. A conventional dynami…c programming algorithm returns an optimal object from a given set of objects. This book develops extensions of dynamic programming, enabling us to (i) describe the set of objects under consideration; (ii) perform a multi-stage optimization of objects relative to different criteria; (iii) count the number of optimal objects; (iv) find the set of Pareto optimal points for bi-criteria optimization problems; and (v) to study relationships between two criteria. It considers various applications, including optimization of decision trees and decision rule systems as algorithms for problem solving, as ways for knowledge representation, and as classifiers; optimization of element partition trees for rectangular meshes, which are used in finite element methods for solving PDEs; and multi-stage optimization for such classic combinatorial optimization problems as matrix chain multiplication, binary search trees, global sequence alignment, and shortest paths. The results presented are useful for researchers in combinatorial optimization, data mining, knowledge discovery, machine learning, and finite element methods, especially those working in rough set theory, test theory, logical analysis of data, and PDE solvers. This book can be used as the basis for graduate courses.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 296 pp. Englisch.
