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Algebraic Complexity Theory / by Peter Bürgisser, Michael Clausen, Mohammad A. Shokrollahi
(Grundlehren der mathematischen Wissenschaften, A Series of Comprehensive Studies in Mathematics. ISSN:21969701 ; 315)

1st ed. 1997.
出版者 Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
出版年 1997
本文言語 英語
大きさ XXIII, 618 p : online resource
冊子体 Algebraic complexity theory / Peter Burgisser, Michael Clausen, M. Amin Shokrollahi ; with the collaboration of Thomas Lickteig
著者標目 *Bürgisser, Peter author
Clausen, Michael author
Shokrollahi, Mohammad A author
SpringerLink (Online service)
件 名 LCSH:Discrete mathematics
LCSH:Computer science
LCSH:Mathematical logic
LCSH:Algorithms
LCSH:Algebraic geometry
FREE:Discrete Mathematics
FREE:Theory of Computation
FREE:Mathematical Logic and Foundations
FREE:Algorithms
FREE:Algebraic Geometry
一般注記 1. Introduction -- I. Fundamental Algorithms -- 2. Efficient Polynomial Arithmetic -- 3. Efficient Algorithms with Branching -- II. Elementary Lower Bounds -- 4. Models of Computation -- 5. Preconditioning and Transcendence Degree -- 6. The Substitution Method -- 7. Differential Methods -- III. High Degree -- 8. The Degree Bound -- 9. Specific Polynomials which Are Hard to Compute -- 10. Branching and Degree -- 11. Branching and Connectivity -- 12. Additive Complexity -- IV. Low Degree -- 13. Linear Complexity -- 14. Multiplicative and Bilinear Complexity -- 15. Asymptotic Complexity of Matrix Multiplication -- 16. Problems Related to Matrix Multiplication -- 17. Lower Bounds for the Complexity of Algebras -- 18. Rank over Finite Fields and Codes -- 19. Rank of 2-Slice and 3-Slice Tensors -- 20. Typical Tensorial Rank -- V. Complete Problems -- 21. P Versus NP: A Nonuniform Algebraic Analogue -- List of Notation
The algorithmic solution of problems has always been one of the major concerns of mathematics. For a long time such solutions were based on an intuitive notion of algorithm. It is only in this century that metamathematical problems have led to the intensive search for a precise and sufficiently general formalization of the notions of computability and algorithm. In the 1930s, a number of quite different concepts for this purpose were pro­ posed, such as Turing machines, WHILE-programs, recursive functions, Markov algorithms, and Thue systems. All these concepts turned out to be equivalent, a fact summarized in Church's thesis, which says that the resulting definitions form an adequate formalization of the intuitive notion of computability. This had and continues to have an enormous effect. First of all, with these notions it has been possible to prove that various problems are algorithmically unsolvable. Among of group these undecidable problems are the halting problem, the word problem theory, the Post correspondence problem, and Hilbert's tenth problem. Secondly, concepts like Turing machines and WHILE-programs had a strong influence on the development of the first computers and programming languages. In the era of digital computers, the question of finding efficient solutions to algorithmically solvable problems has become increasingly important. In addition, the fact that some problems can be solved very efficiently, while others seem to defy all attempts to find an efficient solution, has called for a deeper under­ standing of the intrinsic computational difficulty of problems
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ISBN 9783662033388

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