Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Theory of Semi-Feasible Algorithms

Theory of Semi-Feasible Algorithms

Hemaspaandra, Lane A.
Torenvliet, Leen

Hardcover

Series: Monographs in Theoretical Computer Science. an Eatcs

General ComputersProgramming

ISBN10: 3540422005
ISBN13: 9783540422006
Publisher: Springer Nature
Published: Oct 28 2002
Pages: 150
Weight: 0.79
Height: 0.53 Width: 6.42 Depth: 9.44
Language: English
An Invitation to the Dance It is an underappreciated fact that sets may have various types of complex- ity, and not all types are in harmony with each other. The primary goal of this book is to unify and make more widely accessible a vibrant stream of research-the theory of semi-feasible computation-that perfectly showcases the richness of, and contrasts between, the central types of complexity. The semi-feasible sets, which are most commonly referred to as the P- selective sets, are those sets L for which there is a deterministic polynornial- time algorithm that, when given as input any two strings of which at least one belongs to L, will output one of them that is in L. The reason we saythat the semi-feasible sets showcase the contrasts among types of complexity is that it is well-known that many semi-feasible sets have no recursive algorithms (thus their time complexitycannot be upper-bounded by standard time-complexity classes), yet all semi-feasible sets are simple in a wide range of other natural senses. In particular, the semi-feasible sets have small circuits, they are in the extended low hierarchy, and they cannot be NP-complete unless P = NP. The semi-feasible sets are fascinating for many reasons. First, as men- tioned above, they showcase the fact that mere deterministic time complex- ity is not the only potential type of complexity in the world of computation.

1 different editions

Also available

Also in

Programming

View All