The Design and Analysis of Parallel Algorithms
Teks penuh
Gambar
Garis besar
Dokumen terkait
In the next sections, a new parallel Multi- objective Genetic Algorithm (pMoGA) are used to solve three-objective farming as well as factory optimization models
We obtain that parallel programming with CUDA can be used to improve execution time of computation to solve the one-dimensional elasticity equations within an appropriate array
Association rules is one of the most famous data mining study that can be used to generate items that frequently purchased together in sales transactions.. This project is a
Using the such as configuration of kinematic constants, 3-RRR planar parallel mechanism can move translationally in area 0.124 square unit without considering the change of its
The main result of this study is that Multiple Sequence Alignment (MSA) using Progressive Alignment Algorithm can generate conserved region of the gene
Mapreduce system In this work we present a parallel centroid-based clustering algorithm using a Mapreduce system developed based on a partitioned global address space memory model..
Parallel Generator Series Turbines can be seen starting a constant increase in the discharge range of 10.2 L/min to 12.7 L/min by producing power of 0.899 Watts to 1.804 Watts then
The results of the experiments carried out in this study the Decision Tree Algorithm C4.5 and Naïve Bayes can be used in modeling the early detection of diabetes.. The highest average