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Complexity Theory Exploring Limits by Wegener Ingo (15 results)
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hardcover. Condition: very good. no jacket. Like new.
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Complexity Theory. Exploring the Limits of Efficient Algorithms.
Seller: Antiquariat Renner OHG, Albstadt, Germany
Association Member: BOEV
Seller rating 5 out of 5 stars
Hardcover. Condition: Wie neu. Transl. by R. Pruim. Berlin, Springer (2005). gr.8°. 18 figs. XII, 308 p. Hardbound. Like new.
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Complexity Theory: Exploring the Limits of Efficient Algorithms
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 70.75
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Condition: New.
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Complexity Theory : Exploring the Limits of Efficient Algorithms
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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hardcover. Condition: New. In shrink wrap. Looks like an interesting title!
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Complexity theory is the theory of determining the necessary resources for the solution of algorithmic problems and, therefore, the limits of what is possible with the available resources. An understanding of these limits prevents the search for non-existing efficient algorithms. This textbook considers randomization as a key concept and emphasizes the interplay between theory and practice:New branches of complexity theory continue to arise in response to new algorithmic concepts, and its results- such as the theory of NP-completeness- have influenced the development of all areas of computer science.The topics selected have implications for concrete applications, and the significance of complexity theory for today's computer science is stressed throughout.
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Taschenbuch. Condition: Neu. Complexity Theory | Exploring the Limits of Efficient Algorithms | Ingo Wegener | Taschenbuch | xii | Englisch | 2010 | Springer | EAN 9783642059148 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Complexity theory is the theory of determining the necessary resources for the solution of algorithmic problems and, therefore, the limits of what is possible with the available resources. An understanding of these limits prevents the search for non-existing efficient algorithms. This textbook considers randomization as a key concept and emphasizes the interplay between theory and practice:New branches of complexity theory continue to arise in response to new algorithmic concepts, and its results- such as the theory of NP-completeness- have influenced the development of all areas of computer science.The topics selected have implications for concrete applications, and the significance of complexity theory for today's computer science is stressed throughout.
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Paperback. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Complexity Theory : Exploring the Limits of Efficient Algorithms
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 129.99
£ 15 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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Hardcover. Condition: Like New. Like New. book.
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Condition: As New. Unread book in perfect condition.
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Complexity Theory: Exploring the Limits of Efficient Algorithms
Seller: Versandantiquariat Felix Mücke, Grasellenbach - Hammelbach, Germany
Seller rating 5 out of 5 stars
hardcover. Condition: Gut. Seiten; Artikel stammt aus Nichtraucherhaushalt! AH10784 Sprache: Deutsch Gewicht in Gramm: 3.
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Buch. Condition: Neu. Complexity Theory | Exploring the Limits of Efficient Algorithms | Ingo Wegener | Buch | Englisch | 2005 | Springer | EAN 9783540210450 | Verantwortliche Person für die EU: Springer Nature Customer Service Center GmbH, Europaplatz 3, 69115 Heidelberg, productsafety[at]springernature[dot]com | Anbieter: preigu Print on Demand.
