scholarly journals A dominant point-based parallel algorithm that finds all longest common subsequences for a constrained-MLCS problem

2020 ◽  
Vol 40 ◽  
pp. 101070
Author(s):  
Armel Nkonjoh Ngomade ◽  
Jean Frédéric Myoupo ◽  
Vianney Kengne Tchendji
Keyword(s):  
Parallel Algorithm ◽  
Longest Common Subsequences ◽  
Dominant Point

Parallel algorithm for Turbo codes

2010 ◽  
Vol 24 (7) ◽  
pp. 638-642
Author(s):  
Linli Cui ◽  
Fan Yang ◽  
Qicong Peng
Keyword(s):  
Parallel Algorithm ◽  
Turbo Codes

A Parallel Algorithm for Finding a Blocking Flow in an Acyclic Network

1988 ◽  
Author(s):  
Andrew V. Goldberg ◽  
Robert E. Tarjan
Keyword(s):  
Parallel Algorithm ◽  
Acyclic Network

Parallel algorithm for solving sparse linear systems

1996 ◽  
Vol 32 (19) ◽  
pp. 1766
Author(s):  
K.N. Balasubramanya Murthy ◽  
C. Siva Ram Murthy
Keyword(s):  
Parallel Algorithm ◽  
Linear Systems ◽  
Sparse Linear Systems

scholarly journals A Wavelet-Based Almost-Sure Uniform Approximation of Fractional Brownian Motion with a Parallel Algorithm

2014 ◽  
Vol 51 (1) ◽  
pp. 1-18 ◽  
Author(s):  
Dawei Hong ◽  
Shushuang Man ◽  
Jean-Camille Birget ◽  
Desmond S. Lun
Keyword(s):  
Brownian Motion ◽  
Convergence Rate ◽  
Fractional Brownian Motion ◽  
Parallel Algorithm ◽  
Uniform Approximation ◽  
Haar Wavelets ◽  
Hurst Index ◽  
Sample Paths ◽  
Vanishing Moment ◽  
Uniform Expansion

We construct a wavelet-based almost-sure uniform approximation of fractional Brownian motion (FBM) (Bt(H))_t∈[0,1] of Hurst index H ∈ (0, 1). Our results show that, by Haar wavelets which merely have one vanishing moment, an almost-sure uniform expansion of FBM for H ∈ (0, 1) can be established. The convergence rate of our approximation is derived. We also describe a parallel algorithm that generates sample paths of an FBM efficiently.

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