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Aggiungi al carrelloHardcover. Condizione: Good. First Edition. No DJ. Ex University of California, Berkeley library book with usual library markings. Binding is tight, text clean. From the back cover: One of the major concerns of theoretical computer science is the classification of problems in terms of how hard they are. The natural measure of difficulty of a function is the amount of time needed to compute it (as a function of the length of the input). Other resources, such as space, have also been considered. In recursion theory, by contrast, a function is considered to be easy to compute if there exists some algorithm that computes it.
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Aggiungi al carrelloCondizione: New. pp. 376.
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Aggiungi al carrelloCondizione: New. pp. 376 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.
EUR 49,36
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Da: ALLBOOKS1, Direk, SA, Australia
EUR 101,18
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Aggiungi al carrelloBrand new book. Fast ship. Please provide full street address as we are not able to ship toPOboxaddress.
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EUR 96,06
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Da: Best Price, Torrance, CA, U.S.A.
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Da: Lucky's Textbooks, Dallas, TX, U.S.A.
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 112,01
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Da: Ria Christie Collections, Uxbridge, Regno Unito
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EUR 144,62
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Aggiungi al carrelloCondizione: New. pp. 374.
Editore: Birkhäuser Boston, Birkhäuser Boston, 2013
ISBN 10: 1461268486 ISBN 13: 9781461268482
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 111,53
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - One of the major concerns of theoretical computer science is the classifi cation of problems in terms of how hard they are. The natural measure of difficulty of a function is the amount of time needed to compute it (as a function of the length of the input). Other resources, such as space, have also been considered. In recursion theory, by contrast, a function is considered to be easy to compute if there exists some algorithm that computes it. We wish to classify functions that are hard, i.e., not computable, in a quantitative way. We cannot use time or space, since the functions are not even computable. We cannot use Turing degree, since this notion is not quantitative. Hence we need a new notion of complexity-much like time or spac~that is quantitative and yet in some way captures the level of difficulty (such as the Turing degree) of a function.
Editore: Birkhäuser Boston, Birkhäuser Boston, 1998
ISBN 10: 0817639667 ISBN 13: 9780817639662
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 114,36
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Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - One of the major concerns of theoretical computer science is the classifi cation of problems in terms of how hard they are. The natural measure of difficulty of a function is the amount of time needed to compute it (as a function of the length of the input). Other resources, such as space, have also been considered. In recursion theory, by contrast, a function is considered to be easy to compute if there exists some algorithm that computes it. We wish to classify functions that are hard, i.e., not computable, in a quantitative way. We cannot use time or space, since the functions are not even computable. We cannot use Turing degree, since this notion is not quantitative. Hence we need a new notion of complexity-much like time or spac~that is quantitative and yet in some way captures the level of difficulty (such as the Turing degree) of a function.
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 168,98
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Aggiungi al carrelloPaperback. Condizione: Like New. Like New. book.
Editore: Birkhäuser Boston Jul 2013, 2013
ISBN 10: 1461268486 ISBN 13: 9781461268482
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 74,85
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -One of the major concerns of theoretical computer science is the classifi cation of problems in terms of how hard they are. The natural measure of difficulty of a function is the amount of time needed to compute it (as a function of the length of the input). Other resources, such as space, have also been considered. In recursion theory, by contrast, a function is considered to be easy to compute if there exists some algorithm that computes it. We wish to classify functions that are hard, i.e., not computable, in a quantitative way. We cannot use time or space, since the functions are not even computable. We cannot use Turing degree, since this notion is not quantitative. Hence we need a new notion of complexity-much like time or spac~that is quantitative and yet in some way captures the level of difficulty (such as the Turing degree) of a function. 372 pp. Englisch.
Da: Majestic Books, Hounslow, Regno Unito
EUR 150,57
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Aggiungi al carrelloCondizione: New. Print on Demand pp. 374 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.
Editore: Birkhäuser Boston Dez 1998, 1998
ISBN 10: 0817639667 ISBN 13: 9780817639662
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 139,09
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Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -One of the major concerns of theoretical computer science is the classifi cation of problems in terms of how hard they are. The natural measure of difficulty of a function is the amount of time needed to compute it (as a function of the length of the input). Other resources, such as space, have also been considered. In recursion theory, by contrast, a function is considered to be easy to compute if there exists some algorithm that computes it. We wish to classify functions that are hard, i.e., not computable, in a quantitative way. We cannot use time or space, since the functions are not even computable. We cannot use Turing degree, since this notion is not quantitative. Hence we need a new notion of complexity-much like time or spac~that is quantitative and yet in some way captures the level of difficulty (such as the Turing degree) of a function. 372 pp. Englisch.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 155,09
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 374.
Editore: Birkhäuser Boston, Birkhäuser Boston Jul 2013, 2013
ISBN 10: 1461268486 ISBN 13: 9781461268482
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 106,99
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -One of the major concerns of theoretical computer science is the classifi cation of problems in terms of how hard they are. The natural measure of difficulty of a function is the amount of time needed to compute it (as a function of the length of the input). Other resources, such as space, have also been considered. In recursion theory, by contrast, a function is considered to be easy to compute if there exists some algorithm that computes it. We wish to classify functions that are hard, i.e., not computable, in a quantitative way. We cannot use time or space, since the functions are not even computable. We cannot use Turing degree, since this notion is not quantitative. Hence we need a new notion of complexity-much like time or spac~that is quantitative and yet in some way captures the level of difficulty (such as the Turing degree) of a function.Springer Basel AG in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 372 pp. Englisch.
Editore: Birkhäuser Boston, Birkhäuser Boston Dez 1998, 1998
ISBN 10: 0817639667 ISBN 13: 9780817639662
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 106,99
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Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -One of the major concerns of theoretical computer science is the classifi cation of problems in terms of how hard they are. The natural measure of difficulty of a function is the amount of time needed to compute it (as a function of the length of the input). Other resources, such as space, have also been considered. In recursion theory, by contrast, a function is considered to be easy to compute if there exists some algorithm that computes it. We wish to classify functions that are hard, i.e., not computable, in a quantitative way. We cannot use time or space, since the functions are not even computable. We cannot use Turing degree, since this notion is not quantitative. Hence we need a new notion of complexity-much like time or spac~that is quantitative and yet in some way captures the level of difficulty (such as the Turing degree) of a function.Springer Basel AG in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 372 pp. Englisch.