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» On Computing Functions with Uncertainty
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IJBRA
2008
69views more  IJBRA 2008»
13 years 9 months ago
A matrix-based multilevel approach to identify functional protein modules
: Identifying functional modules is believed to reveal most cellular processes. There have been many computational approaches to investigate the underlying biological structures [2...
Suely Oliveira, Sang-Cheol Seok
INFORMATICALT
2006
117views more  INFORMATICALT 2006»
13 years 9 months ago
Job Sequencing with Exponential Functions of Processing Times
We study single machine scheduling problems, where processing times of the jobs are exponential functions of their start times. For increasing functions, we prove strong NP-hardnes...
Adam Janiak, Mikhail Y. Kovalyov
ICPP
2009
IEEE
14 years 4 months ago
Fine-grain Parallelism Using Multi-core, Cell/BE, and GPU Systems: Accelerating the Phylogenetic Likelihood Function
We are currently faced with the situation where applications have increasing computational demands and there is a wide selection of parallel processor systems. In this paper we fo...
Frederico Pratas, Pedro Trancoso, Alexandros Stama...
ARITH
2007
IEEE
14 years 4 months ago
Floating-point L2-approximations to functions
In the present paper, we investigate the approximation of a function by a polynomial with floating-point coefficients; we are looking for the best approximation in the L2 sense....
Nicolas Brisebarre, Guillaume Hanrot
CORR
2010
Springer
99views Education» more  CORR 2010»
13 years 9 months ago
On Functional Decomposition of Multivariate Polynomials with Differentiation and Homogenization
In this paper, we give a theoretical analysis for the algorithms to compute functional decomposition for multivariate polynomials based on differentiation and homogenization which ...
Shang-Wei Zhao, Ruyong Feng, Xiao-Shan Gao