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Computational Complexity of Solving Equation Systems

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Computational Complexity of Solving Equation Systems/ by Przemysław Broniek.
Author:	Broniek, Przemysław.
Description:	IX, 64 p. 1 illus.online resource. :
Contained By:	Springer Nature eBook
Subject:	Algorithms. -
Online resource:	https://doi.org/10.1007/978-3-319-21750-5
ISBN:	9783319217505

Computational Complexity of Solving Equation Systems
Broniek, Przemysław.

Computational Complexity of Solving Equation Systems[electronic resource] /by Przemysław Broniek. - 1st ed. 2015. - IX, 64 p. 1 illus.online resource. - SpringerBriefs in Philosophy,2211-4548. - SpringerBriefs in Philosophy,.

Acknowledgments -- Chapter 1. Introduction -- Chapter 2. Unary algebras -- Chapter 3. Reducing CSP to SYSTERMSAT over unary algebras -- Chapter 4. Partial characterizations -- Chapter 5. Conclusions and Open Problems.

This volume considers the computational complexity of determining whether a system of equations over a fixed algebra A has a solution. It examines in detail the two problems this leads to: SysTermSat(A) and SysPolSat(A), in which equations are built out of terms or polynomials, respectively. The book characterizes those algebras for which SysPolSat can be solved in a polynomial time. So far, studies and their outcomes have not covered algebras that generate a variety admitting type 1 in the sense of Tame Congruence Theory. Since unary algebras admit only type 1, this book focuses on these algebras to tackle the main problem. It discusses several aspects of unary algebras and proves that the Constraint Satisfaction Problem for relational structures is polynomially equivalent to SysTermSat over unary algebras. The book’s final chapters discuss partial characterizations, present conclusions, and describe the problems that are still open.

ISBN: 9783319217505

Standard No.: 10.1007/978-3-319-21750-5doiSubjects--Topical Terms:

527865
Algorithms.

LC Class. No.: QA76.9.A43

Dewey Class. No.: 005.1

Computational Complexity of Solving Equation Systems
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