Showing 881 - 900 results of 2,525 for search '"ITER"', query time: 0.05s Refine Results
  1. 881

    Application of simulated annealing for simultaneous estimation of parameters in a cylindrical fin by Das, Ranjan., Dutta, Partha P.

    Published 2013
    “…The accuracy of the estimated parameters has been studied for different measurement points, initial guess, measurement errors, and number of iterations; CPU times are also reported. The FDM-SA is observed to reconstruct the temperature field with an excellent accuracy, but ill-posed behavior is observed.…”
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    Journal Article
  2. 882

    Authoring educational games through affective teachable agent by Ailiya, Shen, Zhiqi, Miao, Chun Yan

    Published 2013
    “…To make the design and development of virtual games continuous and smooth, teachers should be involved in the learning content design iteratively. To this end this paper proposes an authoring tool which extends the teachable agent in Virtual Singapora project with authoring capabilities. …”
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    Conference Paper
  3. 883

    The stability of thin-walled composite cylinder using Southwell plot / Darwin Sebayang

    Published 2007
    “…The transfer matrix was formed by deriving the partial differential equation based on the equation of a cylinder which will be integrated in the circumferential direction using the Fourier series and integrated in the axial direction using the Lie-Magnus or Piccard iteration. The method was applied to different types of layer of a composite material under various load. …”
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    Article
  4. 884

    Numerical solutions of linear Fredholm Integral Equations using half-sweep arithmetic mean method by Mohana Sundaram Muthuvalu, Sarat Dass, Beh, Hoe Guan, Jumat Sulaiman

    Published 2014
    “…In this paper, performance of the 2-Point Half-Sweep Explicit Group (2-HSEG) iterative method with first order composite closed Newton-Cotes quadrature scheme for solving second kind linear Fredholm integral equations is investigated. …”
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    Conference or Workshop Item
  5. 885

    Numerical performance of Half-Sweep SOR Method for solving second order composite closed Newton-Cotes System by Mohana Sundaram Muthuvalu, Elayaraja Aruchunan, Mohd Kamalrulzaman Md Akhir, Jumat Sulaiman, Samsul Ariffin Abdul Karim

    Published 2014
    “…In this paper, application of the Half-Sweep Successive Over-Relaxation (HSSOR) iterative method is extended by solving second order composite closed Newton-Cotes quadrature (2-CCNC) system. …”
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    Conference or Workshop Item
  6. 886

    Fifth order two-point block backward differentiation formulas for solving ordinary differential equations. by Ibrahim, Zarina Bibi, Suleiman, Mohamed, Othman, Khairil Iskandar, Nasir, N. A. A. M.

    Published 2011
    “…We also discussed further the implementation of the method using Newton Iteration. The numerical results are presented to verify the efficiency of this method as compared to the Classical Backward Differentiation Formula (BDF) method and ode15s in Matlab. …”
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    Article
  7. 887

    The hybrid BFGS-CG method in solving unconstrained optimization problems by Ibrahim, Mohd Asrul Hery, Mamat, Mustafa, Leong, Wah June

    Published 2014
    “…In comparison to standard BFGS methods and conjugate gradient methods, the BFGS-CG method shows significant improvement in the total number of iterations and CPU time required to solve large scale unconstrained optimization problems. …”
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    Article
  8. 888

    A new diagonal gradient-type method for large scale unconstrained optimization by Farid, Mahboubeh, Leong, Wah June, Zheng, Lihong

    Published 2013
    “…This new scheme allows us to improve the accuracy of the Hessian's approximation and is also capable to utilize information gathered about the function in previous iterations. It follows by an scaling approach that employs scaling parameter based upon the proposed weak secant equation to guarantee the positive definiteness of the Hessian's approximation. …”
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    Article
  9. 889

    Median polish for final grades of MTH3000- and MTH4000- level courses by Fitrianto, Anwar, Wijayanto, Hari, Rana, Md. Sohel, Cheong, Yee Voon

    Published 2014
    “…Median polish is resistant to holes in the table, that is, cells that have no values, but it may require a lot of iterations through the data. This paper describes a technique that uses median polish to observe the relationship between students’ attendance in classes with their performance in the final exam. …”
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    Article
  10. 890

    The CG-BFGS method for unconstrained optimization problems by Ibrahim, Mohd Asrul Hery, Mamat, Mustafa, Leong, Wah June, Mohammad Sofi, Azfi Zaidi

    Published 2013
    “…The new algorithm is compared with the quasi-Newton methods in terms of the number of iterations and CPU-time. The Broyden-Fletcher-Goldfarb-Shanno (BFGS) method is used as an updating formula for the approximation of the Hessian for both methods. …”
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    Conference or Workshop Item
  11. 891

    SSGARL: hybrid evolutionary computation and reinforcement learning for flexible ligand docking by Marlisah, Erzam, Yaakob, Razali, Sulaiman, Md. Nasir, Abdul Rahman, Mohd Basyaruddin

    Published 2014
    “…Ten ligands of varying flexibility were chosen to bind with thermolysin to compare the performance of SSGARL and Iterated Local Search global optimizer’s algorithm of AutoDock Vina. …”
    Conference or Workshop Item
  12. 892

    Numerical performance of half-sweep SOR method for solving second order composite closed Newton-Cotes system by Muthuvalu, Mohana Sundaram, Aruchunan, Elayaraja, Md Akhir, Mohd Kamalrulzaman, Sulaiman, Jumat, Abdul Karim, Samsul Ariffin

    Published 2014
    “…In this paper, application of the Half-Sweep Successive Over-Relaxation (HSSOR) iterative method is extended by solving second order composite closed Newton-Cotes quadrature (2-CCNC) system. …”
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    Conference or Workshop Item
  13. 893

    Computation of cryptosystem based on Lucas functions using addition chain by Md Ali, Zulkarnain, Othman, Mohamed, Md. Said, Mohamad Rushdan, Sulaiman, Md. Nasir

    Published 2010
    “…At the same time, it also reduces some iteration that is involved in LUC Cryptosystem computation.…”
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    Conference or Workshop Item
  14. 894

    Weighted high leverage collinear robust ridge estimator in logistic regression model by Ariffin, Syaiba Balqish, Midi, Habshah

    Published 2018
    “…A robust logistic ridge regression (RLR) which incorporates the weighted Bianco and Yohai (WBY) robust estimator with fully iterated logistic ridge regression (LR) is proposed to rectify the combined problems of high leverage points and multicollinearity in a data. …”
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    Article
  15. 895

    8 Bit Cmos Hybrid Digital-To-Analog Converter For Bluetooth Low Energy Application by Rosli, Alia

    Published 2019
    “…The hybrid DAC design strategy is based on iterative scheme whose variables are adjusted in a simple way, minimizing the power consumption as well as area and also meeting the design specifications.…”
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    Thesis
  16. 896

    The conjugate gradient method for the adjustment of cadastral data in GIS by Buyong, Taher, Daud, Abdullah

    Published 2001
    “…The problems are solved by applying an iterative conjugate gradient method (CGM). The proposed method reduces the storage by at least 70% compared to the prevailing usage of the banded storage scheme and significantly speed up processing time as compared to the usual Cholesky Decomposition method.…”
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    Monograph
  17. 897

    A Conjugate Gradient Approach to Least Squares Analysis of Cadastral Survey Data by Daud, Abdullah, Buyong, Taher

    Published 1995
    “…The nature of cadastral networks is unique compared that of the geodetic or engineering networks and hence require a new approach of the least squares computation. An iterative method known as conjugate gradient is being tested for cadastral applications.…”
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    Article
  18. 898

    Global and local convergence of a filter line search method for nonlinear programming. by Chin, Choong Ming, Abdul Rashid, Abdul Halim, Nor, Khaled Mohamed

    Published 2007
    “…Under mild conditions, we will also show that the algorithm converges two step superlinearly when the iterates are near to the solution. …”
    Article
  19. 899
  20. 900