Noch Fragen? 0800 / 33 82 637

Complexity and Real Computation

Produktform: Buch / Einband - flex.(Paperback)

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.weiterlesen

Sprache(n): Englisch

ISBN: 978-1-4612-6873-4 / 978-1461268734 / 9781461268734

Verlag: Springer US

Erscheinungsdatum: 10.10.2012

Seiten: 453

Auflage: 1

Zielgruppe: Research

Autor(en): Lenore Blum, Felipe Cucker, Michael Shub, Steve Smale

53,49 € inkl. MwSt.
kostenloser Versand

lieferbar - Lieferzeit 10-15 Werktage

zurück