Blum lenore (34 Ergebnisse)

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Zustand: Fine. First edition, first printing, 453 pp., Hardcover, previous owner's name to the front free endpaper, else fine. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees requ…ired by recipient's country.

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Zustand: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.

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Hardcover. Zustand: Sehr gut. N.Y., Springer (1998). gr.8°. 47 figs. 3 color plates. XVI, 453 p. Hardbound. Small ownership inscription on flyleaves and title, small annotation on title, otherwise in very good condition.

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Paperback. Zustand: Brand New. reprint edition. 469 pages. 9.25x6.10x1.18 inches. In Stock.

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Weitere Bilder- Softcover
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Taschenbuch. Zustand: Neu. Complexity and Real Computation | Lenore Blum (u. a.) | Taschenbuch | xvi | Englisch | 2012 | Springer | EAN 9781461268734 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

- Softcover
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Computational complexity theory provides a framework for understanding the cost of solving computational problems, as measured by the requirement for resources such as time and space. The objects of study are algorithms defined within a formal model…of computation. Upper bounds on the computational complexity of a problem are usually derived by constructing and analyzing specific algorithms. Meaningful lower bounds on computational complexity are harder to come by, and are not available for most problems of interest. The dominant approach in complexity theory is to consider algorithms as oper ating on finite strings of symbols from a finite alphabet. Such strings may represent various discrete objects such as integers or algebraic expressions, but cannot rep resent real or complex numbers, unless the numbers are rounded to approximate values from a discrete set. A major concern of the theory is the number of com putation steps required to solve a problem, as a function of the length of the input string.

- Hardcover
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Computational complexity theory provides a framework for understanding the cost of solving computational problems, as measured by the requirement for resources such as time and space. The objects of study are algorithms defined within a formal model of comp…utation. Upper bounds on the computational complexity of a problem are usually derived by constructing and analyzing specific algorithms. Meaningful lower bounds on computational complexity are harder to come by, and are not available for most problems of interest. The dominant approach in complexity theory is to consider algorithms as oper ating on finite strings of symbols from a finite alphabet. Such strings may represent various discrete objects such as integers or algebraic expressions, but cannot rep resent real or complex numbers, unless the numbers are rounded to approximate values from a discrete set. A major concern of the theory is the number of com putation steps required to solve a problem, as a function of the length of the input string.

Complexity and Real Computation
Blum, Lenore (Editor)/ Cucker, Felipe/ Shub, Michael/ Smale, Steve/ Blum, Lenore
- Hardcover
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Hardcover. Zustand: Brand New. 1st edition. 453 pages. 9.75x6.50x1.25 inches. In Stock.

- Softcover
- Erstausgabe
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In den WarenkorbBlum, Lenore (1942- ); Manuel Blum, (1938- ); Michael Shub (1943- ). A simple unpredictable pseudo-random number generator. Offprint from SIAM Journal of Computing 15 (1986). 364-383pp. 255 x 175 mm. Original printed wrappers. Fine. First Edition, Offprint Issue. The Blum Blum Shub (BBS) pseudorandom number generator, proposed i…n 1986 by Lenore Blum, Manuel Blum and Michael Shub, "is based on the operation of squaring numbers modulo the products of two large primes. Its security can be reduced to the computational hardness assumption that integer factorization is infeasible." See the Wikipedia page for Blum Blum Shub. From the library of Martin Davis. .

- Softcover
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Zustand: new. Questo è un articolo print on demand.

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In den WarenkorbBlum, Lenore (1942- ); Michael Shub (1943- ); Stephen Smale (1930- ). On a theory of computation over the real numbers' NP completeness, recursive functions and universal machines. Offset typescript. 1989. 64pp. 280 x 217 mm. Unbound; stapled. Very good. Rare Preprint Edition. "In computation theory, the Blum-Shub-Smale machine,… or BSS machine, is a model of computation introduced by Lenore Blum, Michael Shub and Stephen Smale, intended to describe computations over the real numbers. Essentially, a BSS machine is a Random Access Machine with registers that can store arbitrary real numbers and that can compute rational functions over reals in a single time step. It is closely related to the Real RAM model. "BSS machines are more powerful than Turing machines, because the latter are by definition restricted to a finite set of symbols. A Turing machine can represent a countable set (such as the rational numbers) by strings of symbols, but this does not extend to the uncountable real numbers" (Wikipedia article on Blum-Shub-Smale machine). From the library of Martin Davis. .

- Softcover
- Print-on-Demand
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The classical theory of computation has its origins in the work of Goedel, Turing, Church, and Kleene and has been an extraordinarily successful framework for theoretical computer science. The thesis of this book, however, is that it…provides an inadequate foundation for modern scientific computation where most of the algorithms are real number algorithms. The goal of this book is to develop a formal theory of computation which integrates major themes of the classical theory and which is more directly applicable to problems in mathematics, numerical analysis, and scientific computing. Along the way, the authors consider such fundamental problems as: \* Is the Mandelbrot set decidable \* For simple quadratic maps, is the Julia set a halting set \* What is the real complexity of Newton's method \* Is there an algorithm for deciding the knapsack problem in a ploynomial number of steps \* Is the Hilbert Nullstellensatz intractable \* Is the problem of locating a real zero of a degree four polynomial intractable \* Is linear programming tractable over the reals The book is divided into three parts: The first part provides an extensive introduction and then proves the fundamental NP-completeness theorems of Cook-Karp and their extensions to more general number fields as the real and complex numbers.The later parts of the book developa formal theory of computation which integrates major themes of the classical theory and which is more directly applicable to problems in mathematics, numerical analysis, and scientific computing. 472 pp. Englisch.

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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. * Unique work on this core topic * Written by internationally recognised specialists in mathematics and computing * Provides the basics for numerous practical industrial applications, e.g. AI, robotics, digital cashUniq…ue work on this core topic * Wr.

- Hardcover
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Buch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The classical theory of computation has its origins in the work of Goedel, Turing, Church, and Kleene and has been an extraordinarily successful framework for theoretical computer science. The thesis of this book, however, is that it provide…s an inadequate foundation for modern scientific computation where most of the algorithms are real number algorithms. The goal of this book is to develop a formal theory of computation which integrates major themes of the classical theory and which is more directly applicable to problems in mathematics, numerical analysis, and scientific computing. Along the way, the authors consider such fundamental problems as: \* Is the Mandelbrot set decidable \* For simple quadratic maps, is the Julia set a halting set \* What is the real complexity of Newton's method \* Is there an algorithm for deciding the knapsack problem in a ploynomial number of steps \* Is the Hilbert Nullstellensatz intractable \* Is the problem of locating a real zero of a degree four polynomial intractable \* Is linear programming tractable over the reals The book is divided into three parts: The first part provides an extensive introduction and then proves the fundamental NP-completeness theorems of Cook-Karp and their extensions to more general number fields as the real and complex numbers.The later parts of the book developa formal theory of computation which integrates major themes of the classical theory and which is more directly applicable to problems in mathematics, numerical analysis, and scientific computing. 472 pp. Englisch.

- Softcover
- Print-on-Demand
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Computational complexity theory provides a framework for understanding the cost of solving computational problems, as measured by the requirement for resources such as time and space. The objects of study are algorithms defined within a f…ormal model of computation. Upper bounds on the computational complexity of a problem are usually derived by constructing and analyzing specific algorithms. Meaningful lower bounds on computational complexity are harder to come by, and are not available for most problems of interest. The dominant approach in complexity theory is to consider algorithms as oper ating on finite strings of symbols from a finite alphabet. Such strings may represent various discrete objects such as integers or algebraic expressions, but cannot rep resent real or complex numbers, unless the numbers are rounded to approximate values from a discrete set. A major concern of the theory is the number of com putation steps required to solve a problem, as a function of the length of the input string.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 472 pp. Englisch.