A method and system for determining optimal G. by Harun, Harlisya, Ungku Chulan, Ungku Azmi Iskandar

“…In effect the number of iteration is kept very low.…”

Holistic optimization framework for the operation of urban energy systems by Chiam, Zhonglin

“…Genetic algorithms are population-based metaheuristics and can require a considerable amount iterations to converge. This issue is further exacerbated in the framework where a mixed-integer linear program has to be solved in each iteration. …”
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Object detection with deep neural networks under constrained scenarios by Zhang, Gongjie

“…Second, deep-neural-network-based object detectors usually require long training iterations, which are time-consuming and expensive, or even unaffordable to many researchers or companies. …”
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A variable step-size multichannel equalization algorithm exploiting sparseness measure for room acoustics by Khong, Andy Wai Hoong, Rashobh, Rajan S.

“…To address this, we propose a MINT-based algorithm that estimates inverse filters by minimizing a cost function iteratively. To further enhance the convergence rate, we formulate an algorithm that employs an adaptive step-size that is derived as a function of the sparseness measure. …”
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Mott transition in hardcore Bose Hubbard model for honeycomb lattice by Yonathan, Priambada

“…During the simulation, the transition of the stiffness of the system is measured against the iterating parameter t/V, where t is the amplitude of the hopping component and V is the amplitude of the nearest neighbour potential. …”
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Multivoltage multifrequency low-energy synthesis for functionally pipelined datapath by Xing, Xianwu, Jong, Ching Chuen

“…The results are further refined by four local transformations performed in an iterative process. The experiment results show that MuVoF is capable of exploring the design space effectively and achieves efficient energy reduction.…”
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Performance analysis of cognitive machine-to-machine communications by Hoang, Dinh Thai, Niyato, Dusit

“…The queuing model uses an iterative approach to reduce the complexity, and it is able to obtain various performance measures (e.g., queue throughput and delay).…”
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Intelligent identification of uncertainty bounds for robust servo controlled system by M. Raafat, Safanah, Akmeliawati, Rini, Martono, Wahyudi

“…The proposed ANFIS feedback structurenperforms better in determining the uncertainty bounds withnminimum number of iterations and error. In our proposedntechnique, the intelligent identified uncertainty weightingnfunction is validated utilizing v-gap to ensure the stability of the designed H� controlled system. …”
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A numerical assessment on water quality model using the half-sweep explicit group methods / M. H. Abdullah, J. Sulaiman and A. Othman by Abdullah, M. H., Sulaiman, J., Othman, A.

“…The 2, 3 and 4-point of Full-Sweep Explicit Group (FSEG) and Half-Sweep Explicit Group (HSEG) iterative methods together with the Red-Black (RB) ordering strategy were also presented to solve the systems of linear equations. …”
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Splitting strategies for preconditioned explicit group schemes by Norhashidah Hj. Mohd. Ali Yuzaimi Yunus, Nurul Fizaham Fijasri

“…Combining iterative methods with appropriate preconditioners is a worthwhile effort in improving the performances of the methods since the reliability of these methods have been shown to improve by the use of appropriate preconditioning techniques. …”

A new approach to present prototypes in clustering of time series by Aghabozorgi, S.R., Wah, T.Y., Amini, A., Saybani, M.R.

“…Moreover, it is demonstrated how the prototypes are moved in iterations. We will present the benefits of the proposed prototype by implementing a real application: Customer transactions clustering.…”
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Cubic spline solutions for two-point boundary value problems using quarter-sweep SOR method by Norizyan Izzati Mohd Fauzi, Jumat Sulaiman

“…In this paper, iterative methods particularly a family of Successive Over Relaxation (SOR) methods are used to solve system of linear equations generated from discretization of second-order two-point boundary value problems through cubic spline approaches. …”
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Half-sweep modified successive over relaxation method for solving second order two-point boundary value problems using cubic spline by orizyan Izzati Mohd Fauzi, Jumat Sulaiman

“…The aim of this paper is to discuss the application of Half-Sweep Modified Successive Over Relaxation (HSMSOR) iterative method for solving second order two-point boundary value problems. …”
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On quarter-sweep finite difference scheme for one-dimensional porous medium equations by Jackel Chew Vui Lung, Jumat Sulaiman

“…The numerical result shows that the proposed method has a smaller number of iterations, a shorter computation time and a good accuracy compared to Newton-Gauss-Seidel and Half-Sweep Newton-Gauss-Seidel methods.…”
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Solving time-fractional parabolic equations with the four by Fatihah Anas Muhiddin, Jumat Sulaiman, Andang Sunarto

“…The goal is to show the usefulness of the 4-point half-sweep EGKSOR (4HSEGKSOR) iterative scheme by implementing the half-sweep approximation equation based on the Grünwald-type fractional derivative and implicit finite difference (IFD) method to solve one-dimensional (1D) time-fractional parabolic equations compared to full-sweep Kaudd Successive over-relaxation (FSKSOR) and halfsweep Kaudd Successive over-relaxation (HSKSOR) methods. …”
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Are economic selection indices always superior to a desired gains index? by Yamada, Y.

“…The optimum desired gains index should be determined by iterative techniques over several generations to compare the genetic progress with the economic index, because gains by the economic index are not linear and the changes observed in the initial generations of selection are not the same rates in future generations, although those changes are linear in the case of the desired gains index.…”

Implementation of MPI environment for solving large systems of ODEs using block method. by Abdul Majid, Zanariah, Mehrkanoon, S., Othman, K. I., Suleiman, Mohamed

“…Parallel 2-point and 3-point block method will simultaneously compute the numerical solutions at two and three points respectively are suitable for solving large system of first order ordinary differential equations (ODEs) using variable step size. The Gauss Seidel iteration will be implemented for the block methods. …”
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On the solution of two point boundary value problems with two point direct method. by Phang, Pei See, Abdul Majid, Zanariah, Suleiman, Mohamed

“…The method will be implemented using constant step size via shooting technique adapted with three-step iterative method. Numerical results are given to compare the efficiency of the proposed method with the Runge-Kutta and bvp4c method. …”
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Markov chain Monte Carlo convergence diagnostics for Gumbel model by Mohd Amin, Nor Azrita, Adam, Mohd. Bakri

“…It is difficult to determine the length of draws to make sure that the sample values converge to the stationary distribution and the number of n iterations should be discarded before the chain converge to the stationary distribution. …”
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Fast optimization method : the window size and hurst parameter estimator on self-similar network traffic by Idris, Mohd. Yazid, Abdullah, Abdul Hanan, Maarof, Mohd. Aizaini

“…Estimating window sizes requires that the estimation process be repeated, such as in iterative optimization method (IOM) and will result in the high consumption of CPU time. …”