A robust initialization scheme for the Remez exchange algorithm

2003 ◽  
Vol 10 (1) ◽  
pp. 1-3 ◽  
Author(s):  
E.Z. Psarakis ◽  
G.V. Moustakides
Author(s):  
Yibo Liu ◽  
Xuejing Hao ◽  
Yanjun Mao

At present, the mental health of college students has also become an important issue that urgently needs attention under the influence of the surrounding environment. It is coupled with the grim employment situation after graduation and the students’ psychological burden is becoming more and heavier. This paper based on Diffie-Hellman key exchange algorithm studied the effect of psychological stress intervention. First, the Diffie-Hellman key exchange algorithm was analyzed, and then the Diffie-Hellman prediction model was established according to the psychological pressure of college students. Secondly, the simulation test was conducted to compare the simulated results with the original data. The conclusion of the data fitting of the network model training set, verification set and test set were good and the error was very small. Finally, the detailed application of the algorithm and the model were described.


VLSI Design ◽  
1999 ◽  
Vol 9 (2) ◽  
pp. 213-218 ◽  
Author(s):  
S. E.-D. Habib ◽  
G. J. Al-Karim

This paper reports the development of the Cairo University Waveform Relaxation (CUWORX) simulator. In order to accelerate the convergence of the waveform relaxation (WR) in the presence of logic feedback, CUWORK is initialized via a logic simulator. This logic initialization scheme is shown to be highly effective for digital synchronous circuits. Additionally, this logic initialization scheme preserves fully the multi-rate properties of the WR algorithm.


Land ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 64
Author(s):  
Żanna Stręk ◽  
Przemysław Leń ◽  
Justyna Wójcik-Leń ◽  
Paweł Postek ◽  
Monika Mika ◽  
...  

In many countries of the world, rural areas are characterized by a defective spatial structure of agricultural land. The most frequent defects are large fragmentation and distribution of farmland. The fragmentation of land has been an issue widely described by many authors throughout the world. The problem of the distribution of land owned by individual farmers is slightly different, since due to the complexity of the problem this issue was not widely explored in Poland (plot patchwork) or in other countries of Europe and the world. Land fragmentation and distribution of plots in rural areas has a negative effect on the profitability and efficiency of agricultural production. Land consolidation and exchange is an operation facilitating spatial structure improvement. The authors attempted to develop a universal land exchange algorithm for eliminating the external plot patchwork. As it turns out, so far no land exchange algorithm has been developed. Specific analyses were carried out in Puchaczów commune, county of Łęczna, Lublin voivodeship in the eastern part of Poland, covering an area of 6907.80 ha, split into 15,211 plots. The chequerboard arrays method was used. The publication presents the algorithm and its practical application using a test sample. A result of the studies is a proposal concerning the exchange of land between landowners in the villages of the commune of Puchaczów. Using the algorithm, the area of individual lands in the commune, after the exchange, will increase by 172.09 ha, which is 2.5% for the area of individual lands, and 1.9% for the commune.


2020 ◽  
Vol 10 (1) ◽  
pp. 589-595
Author(s):  
K. V. Prasamsa ◽  
P. A. Kameswari ◽  
K. N. Raju ◽  
T. Surendra ◽  
D. M. Devi

Mekatronika ◽  
2021 ◽  
Vol 3 (1) ◽  
pp. 35-43
Author(s):  
K. M. Ang ◽  
Z. S. Yeap ◽  
C. E. Chow ◽  
W. Cheng ◽  
W. H. Lim

Different variants of particle swarm optimization (PSO) algorithms were introduced in recent years with various improvements to tackle different types of optimization problems more robustly. However, the conventional initialization scheme tends to generate an initial population with relatively inferior solution due to the random guess mechanism. In this paper, a PSO variant known as modified PSO with chaotic initialization scheme is introduced to solve unconstrained global optimization problems more effectively, by generating a more promising initial population. Experimental studies are conducted to assess and compare the optimization performance of the proposed algorithm with four existing well-establised PSO variants using seven test functions. The proposed algorithm is observed to outperform its competitors in solving the selected test problems.


2010 ◽  
Vol 83 (12) ◽  
pp. 1580-1624 ◽  
Author(s):  
Shintaro Yamasaki ◽  
Shinji Nishiwaki ◽  
Takayuki Yamada ◽  
Kazuhiro Izui ◽  
Masataka Yoshimura

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