On Dynamic Algorithms for Algebraic Problems

In this paper, we examine the problem of incrementally evaluating algebraic functions. In particular, iff(x1,x2,…,xn)=(y1,y2,…,ym) is an algebraic problem, we consider answering on-line requests of the form “change inputxito valuev” or “what is the value of outputyj?” We first present lower bounds f...

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Vydané v:Journal of algorithms Ročník 22; číslo 2; s. 347 - 371
Hlavní autori: Reif, John H., Tate, Stephen R.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: San Diego, CA Elsevier Inc 01.02.1997
Elsevier
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ISSN:0196-6774, 1090-2678
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Abstract In this paper, we examine the problem of incrementally evaluating algebraic functions. In particular, iff(x1,x2,…,xn)=(y1,y2,…,ym) is an algebraic problem, we consider answering on-line requests of the form “change inputxito valuev” or “what is the value of outputyj?” We first present lower bounds for some simply stated algebraic problems such as multipoint polynomial evaluation, polynomial reciprocal, and extended polynomial GCD, proving an Ω(n) lower bound for the incremental evaluation of these functions. In addition, we prove two time-space trade-off theorems that apply to incremental algorithms for almost all algebraic functions. We then derive several general-purpose algorithm design techniques and apply them to several fundamental algebraic problems. For example, we give anO(n)time per request algorithm for incremental DFT. We also present a design technique for serving incremental requests using a parallel machine, giving a choice of either optimal work with respect to the sequential incremental algorithm or superfast algorithms withO(loglogn) time per request with a sublinear number of processors.
AbstractList In this paper, we examine the problem of incrementally evaluating algebraic functions. In particular, iff(x1,x2,…,xn)=(y1,y2,…,ym) is an algebraic problem, we consider answering on-line requests of the form “change inputxito valuev” or “what is the value of outputyj?” We first present lower bounds for some simply stated algebraic problems such as multipoint polynomial evaluation, polynomial reciprocal, and extended polynomial GCD, proving an Ω(n) lower bound for the incremental evaluation of these functions. In addition, we prove two time-space trade-off theorems that apply to incremental algorithms for almost all algebraic functions. We then derive several general-purpose algorithm design techniques and apply them to several fundamental algebraic problems. For example, we give anO(n)time per request algorithm for incremental DFT. We also present a design technique for serving incremental requests using a parallel machine, giving a choice of either optimal work with respect to the sequential incremental algorithm or superfast algorithms withO(loglogn) time per request with a sublinear number of processors.
Author Tate, Stephen R.
Reif, John H.
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  surname: Tate
  fullname: Tate, Stephen R.
  organization: Department of Computer Sciences, University of North Texas, P.O. Box 13886, Denton, Texas, 76203-6886
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Keywords Algebraic function
Parallel algorithms
Algorithms
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SubjectTerms Algorithmics. Computability. Computer arithmetics
Applied sciences
Computer science; control theory; systems
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Theoretical computing
Title On Dynamic Algorithms for Algebraic Problems
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