Complexity and Real Computation

Authors: Blum, L., Cucker, F., Shub, M., Smale, S.

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About this Textbook

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.

Table of contents (23 chapters)

Table of contents (23 chapters)

Buy this book

eBook 67,40 €
price for Spain (gross)
  • ISBN 978-1-4612-0701-6
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • Immediate eBook download after purchase and usable on all devices
  • Bulk discounts available
Hardcover 83,15 €
price for Spain (gross)
Softcover 83,15 €
price for Spain (gross)
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Bibliographic Information

Bibliographic Information
Book Title
Complexity and Real Computation
Authors
Copyright
1998
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media New York
eBook ISBN
978-1-4612-0701-6
DOI
10.1007/978-1-4612-0701-6
Hardcover ISBN
978-0-387-98281-6
Softcover ISBN
978-1-4612-6873-4
Edition Number
1
Number of Pages
XVI, 453
Topics