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Publisher: Horizon Research Publishing   (Total: 54 journals)   [Sort by number of followers]

Showing 1 - 54 of 54 Journals sorted alphabetically
Advances in Diabetes and Metabolism     Open Access   (Followers: 23)
Advances in Economics and Business     Open Access   (Followers: 16)
Advances in Energy and Power     Open Access   (Followers: 15)
Advances in Pharmacology and Pharmacy     Open Access   (Followers: 6)
Advances in Signal Processing     Open Access   (Followers: 13)
Advances in Zoology and Botany     Open Access  
Bioengineering and Bioscience     Open Access   (Followers: 1)
Cancer and Oncology Research     Open Access   (Followers: 10)
Chemical and Materials Engineering     Open Access   (Followers: 20)
Civil Engineering and Architecture     Open Access   (Followers: 23)
Computational Research     Open Access   (Followers: 1)
Computer Science and Information Technology     Open Access   (Followers: 13)
Energy and Environmental Engineering     Open Access   (Followers: 7)
Environment and Ecology Research     Open Access   (Followers: 8)
Food Science and Technology     Open Access   (Followers: 3)
Immunology and Infectious Diseases     Open Access   (Followers: 9)
Intl. J. of Biochemistry and Biophysics     Open Access   (Followers: 1)
Intl. J. of Cardiovascular and Cerebrovascular Disease     Open Access   (Followers: 2)
Intl. J. of Neuroscience and Behavioral Science     Open Access   (Followers: 1)
Linguistics and Literature Studies     Open Access   (Followers: 4)
Manufacturing Science and Technology     Open Access   (Followers: 3)
Mathematics and Statistics     Open Access   (Followers: 5)
Nanoscience and Nanoengineering     Open Access   (Followers: 1)
Natural Resources and Conservation     Open Access   (Followers: 6)
Nursing and Health     Open Access   (Followers: 4)
Open J. of Dentistry and Oral Medicine     Open Access   (Followers: 1)
Sociology and Anthropology     Open Access   (Followers: 5)
Sport and Art     Open Access   (Followers: 1)
Universal J. of Accounting and Finance     Open Access   (Followers: 2)
Universal J. of Agricultural Research     Open Access   (Followers: 1)
Universal J. of Applied Mathematics     Open Access   (Followers: 5)
Universal J. of Applied Science     Open Access   (Followers: 2)
Universal J. of Biomedical Engineering     Open Access  
Universal J. of Chemistry     Open Access   (Followers: 1)
Universal J. of Clinical Medicine     Open Access  
Universal J. of Communications and Network     Open Access   (Followers: 1)
Universal J. of Computational Mathematics     Open Access   (Followers: 5)
Universal J. of Control and Automation     Open Access   (Followers: 3)
Universal J. of Educational Research     Open Access   (Followers: 1)
Universal J. of Electrical and Electronic Engineering     Open Access   (Followers: 6)
Universal J. of Engineering Science     Open Access   (Followers: 2)
Universal J. of Food and Nutrition Science     Open Access   (Followers: 5)
Universal J. of Geoscience     Open Access   (Followers: 4)
Universal J. of Industrial and Business Management     Open Access   (Followers: 1)
Universal J. of Management     Open Access   (Followers: 2)
Universal J. of Materials Science     Open Access   (Followers: 3)
Universal J. of Mechanical Engineering     Open Access   (Followers: 15)
Universal J. of Medical Science     Open Access  
Universal J. of Microbiology Research     Open Access  
Universal J. of Physics and Application     Open Access   (Followers: 2)
Universal J. of Plant Science     Open Access  
Universal J. of Psychology     Open Access   (Followers: 3)
Universal J. of Public Health     Open Access   (Followers: 2)
World J. of Computer Application and Technology     Open Access   (Followers: 3)
Journal Cover
Universal Journal of Computational Mathematics
Number of Followers: 5  

  This is an Open Access Journal Open Access journal
ISSN (Print) 2332-3035 - ISSN (Online) 2332-3043
Published by Horizon Research Publishing Homepage  [54 journals]
  • Optimal Families of Eighth-Order Convergent Iterative Methods for Solving
           Nonlinear Equations Based on Ostrowsk's Method

    • Abstract: Publication date:  Aug 2018
      Source:Universal Journal of Computational Mathematics  Volume  6  Number  1  N.M. Alrasheedi   and I.A. Alsubiahi   Solving nonlinear equations is one of the most important problems in numerical analysis, and has a wide range of application in various aspects, as well as many branches of science, engineering, physics, computing, astronomy, finance, .. . Generally, it is difficult to find the exact root of the nonlinear equations, and so iterative methods become the efficient way to obtain approximate solutions. Recently Kou et. al. presented a class of new variants of Ostrowski's method with order of convergence equals seven (OSM7) for solving simple roots of nonlinear equations proposed in [7]. Ostrowski's method (OSM7) has efficiency index equals to ∜7≈1.626, it has four functions per iteration but its order of convergence is seven that means it's not optimal method. In this paper, we have proposed new two improvements of Ostrowski's method (OSM7) to make it an optimal eight family and to increase its efficiency index. The first improvement has obtained by multiplied the third step of (OSM7) by product of two weight functions with some special conditions and the second improvement has obtained by multiplied the third step of (OSM7) by summation of two others weigh functions with special conditions, too. Using weight functions in every improvement helped us to improve the order of convergence of (OSM7) from seven to eight without changing the number of function evaluations to be an optimal family. New two optimal families have efficiency index equals to ∜8≈1.682. Some numerical examples are provided to show the good performance of the new methods.
      PubDate: Aug 2018
       
  • A Hybrid Clustering Approach for Increasing the Lifetime of Wireless
           Sensor Networks Based on Bayesian Network

    • Abstract: Publication date:  Aug 2018
      Source:Universal Journal of Computational Mathematics  Volume  6  Number  1  Ayda Valinezhad Orang   and Hassan Hajimohammadi   Wireless sensor networks (WSNs) consist of a number of nodes and one or two base stations (BS). Each node has limited energy. Therefore, the energy each node is very important parameter in network since accessing the nodes and re-charging them are difficult or in some cases, are impossible. Thus, the main purpose of this article is to increase the lifetime of the wireless sensor networks by finding the optimal route to send the data to the base station in order to save the energy of each node. In this paper, a hybrid clustering method called Hybrid based on Bayesian Networks (HBN) is proposed based on Bayesian network which considers the radio range of each nodes. In this algorithm, four different parameters are considered including residual energy, the distance to the base station, distance to the neighbor nodes and the radio range of the sensor nodes. According to the simulation results, this algorithm enables an increase in network lifetime in comparison to other similar algorithms.
      PubDate: Aug 2018
       
 
 
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