DocumentCode :
2178009
Title :
Lower bounds from complex function theory
Author :
Shamos, Michael Ian ; Yuval, Gideon
fYear :
1976
fDate :
25-27 Oct. 1976
Firstpage :
268
Lastpage :
273
Abstract :
We employ elementary results from the theory of several complex variables to obtain a quadratic lower bound on the complexity of computing the mean distance between points in the plane. This problem has 2N inputs and a single output and we show that exactly N(N-1)/2 square roots must be computed by any program over +, -, ×, ÷,) √, log and comparisons, even allowing an arbitrary field of constants. The argument is based on counting the total number of sheets of the Riemann surface of the analytic continuation to the complex domain of the (real) function computed by any algorithm which solves the problem. While finding an exact answer requires O(N2) operations, we show that an ε-approximate solution can be obtained in O(N) time for any ε ≫ 0, even if no square roots are permitted.
Keywords :
Algorithm design and analysis; Arithmetic; Computer science; Gaussian processes; Hardware; Machinery; Mathematics; Roundoff errors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Foundations of Computer Science, 1976., 17th Annual Symposium on
Conference_Location :
Houston, TX, USA
ISSN :
0272-5428
Type :
conf
DOI :
10.1109/SFCS.1976.19
Filename :
4567912
Link To Document :
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