JOURNAL ARTICLE

Lower bounds on the depth of monotone arithmetic computations

Abstract

Consider an arithmetic expression of length n involving only the operations (+,*) and non-negative constants. The authors prove lower bounds on the depth of any binary computation tree over the same set of operations and constants that computes such an expression. In their main result they exhibit a family of arithmetic expressions that requires computation trees of depth at least 1.5 log/sub 2/n-O(1). The authors also consider the family of arithmetic expressions defined by alternating 5-3 trees. For this family they show a tight bound of 5/(log/sub 2/15)log/sub 2/n+O(1) on the depth of any computation tree. This is the best known tight bound for any family of arithmetic expressions.< >

Keywords:
Computation Monotone polygon Binary tree Mathematics Upper and lower bounds Tree (set theory) Binary number Combinatorics Set (abstract data type) Discrete mathematics Arithmetic Constant (computer programming) Binary expression tree Expression (computer science) Algorithm Computer science

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12
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0.15
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Citation History

Topics

Complexity and Algorithms in Graphs
Physical Sciences →  Computer Science →  Computational Theory and Mathematics
Low-power high-performance VLSI design
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Formal Methods in Verification
Physical Sciences →  Computer Science →  Computational Theory and Mathematics

Related Documents

JOURNAL ARTICLE

Lower Bounds on the Depth of Monotone Arithmetic Computations

Don CoppersmithBaruch Schieber

Journal:   Journal of Complexity Year: 1999 Vol: 15 (1)Pages: 17-29
BOOK-CHAPTER

Monotone Depth Lower Bounds

The MIT Press eBooks Year: 1989 Pages: 41-56
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