Showing 1,421 - 1,440 results of 3,044 for search '"ITER"', query time: 0.04s Refine Results
  1. 1421

    Early Results From the ‘Diggers to Veterans’ Longitudinal Study of Australian Men who Served in the First World War. Short- and Long-Term Mortality of Early Enlisters by Janet McCalman, Rebecca Kippen, Joan McMeeken, John Hopper, Michael Reade

    Published 2019-12-01
    “…This paper reports on the first iteration of a cradle-to-grave dataset of men who enlisted and served overseas in the First World War from the state of Victoria, Australia. …”
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  2. 1422

    Generalized Mixed Equilibrium Problems and Fixed Point Problem for a Countable Family of Total Quasi-ϕ-Asymptotically Nonexpansive Mappings in Banach Spaces by Jinhua Zhu, Shih-Sen Chang, Min Liu

    Published 2012-01-01
    “…The purpose of this paper is first to introduce the concept of total quasi-ϕ-asymptotically nonexpansive mapping which contains many kinds of mappings as its special cases and then to use a hybrid algorithm to introduce a new iterative scheme for finding a common element of the set of solutions for a system of generalized mixed equilibrium problems and the set of common fixed points for a countable family of total quasi-ϕ-asymptotically nonexpansive mappings. …”
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  3. 1423

    New Exact Solutions of Burgers’ Equation Using Power Index Method by Khalil Ahmad, Khudija Bibi

    Published 2022-01-01
    “…Finally, the proposed resulting answers are compared with the homotopy perturbation, decomposition, and variational iteration solutions.…”
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    Article
  4. 1424

    Design Method of ADAS for Urban Electric Vehicle Based on Virtual Prototyping by Katarzyna Jezierska-Krupa, Wojciech Skarka

    Published 2018-01-01
    “…This approach enabled an iterative design process, which resulted in reduction of errors with almost no prototyping and testing costs.…”
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    Article
  5. 1425

    A Discrete Mathematical Modeling and Optimal Control of the Electoral Behavior with regard to a Political Party by Omar Balatif, Abderrahim Labzai, Mostafa Rachik

    Published 2018-01-01
    “…Pontryagin’s Maximum Principle, in discrete time, is used to characterize the optimal controls and the optimality system is solved by an iterative method. The numerical simulation is carried out using Matlab. …”
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    Article
  6. 1426

    Global Stability Analysis of a Nonautonomous Stage-Structured Competitive System with Toxic Effect and Double Maturation Delays by Chao Liu, Yuanke Li

    Published 2014-01-01
    “…By utilizing some comparison arguments, an iterative technique is proposed to discuss permanence of the species within competitive system. …”
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    Article
  7. 1427

    Navigating many voices: lessons for ELSA/RRI from the pragmatist perspective of ELSA-by-design by Cassy Juhasz, Robert Gianni, Judith Kamalski, Darian Meacham

    Published 2025-12-01
    “…We reflect on the implementation of this approach in the ELSA Lab Poverty & Debt, discussing the challenges we have faced and highlighting the opportunities of an iterative, experimental approach to ethics.…”
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  8. 1428

    Some Properties of Distances and Best Proximity Points of Cyclic Proximal Contractions in Metric Spaces by M. De La Sen, Asier Ibeas

    Published 2014-01-01
    “…The existence and uniqueness of the best proximity points and the properties of convergence of the iterates to such points are also addressed.…”
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    Article
  9. 1429

    Analytical method for calculating losses in overhead lines of electric power systems taking into account changes in load and weather conditions by E. V. Petrova

    Published 2023-09-01
    “…The results of calculating the temperature and active power losses by the proposed method, the least squares method and the iterative method are presented. The high accuracy of the coincidence of the results obtained by various methods is noted.…”
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    Article
  10. 1430

    Euler Operational Matrix of Integration and Collocation Method for Solving Functional Integral Equations by Sohrab Bazm, Fatemeh Pahlevani

    Published 2025-01-01
    “…This approach transforms the integral equation into a set of nonlinear algebraic equations, which can be efficiently solved by employing standard numerical methods like Newton's method or Picard iteration. One significant advantage of this method lies in its ability to avoid the need for direct integration to discretize the integral operator. …”
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    Article
  11. 1431

    R-Vivaldi:distance range-aware IP network coordinate system by Da-bin WANG, Qiong HUANG, Xiao-long YANG, Ke-ping LONG

    Published 2012-02-01
    “…The experience showed that the predicted delay's accuracy was improved when the nodes were chosen around the given delay as anchors.Thus a distance range-aware IP network coordinate system(R-Vivaldi) was proposed.The main idea was:according to the approximate range of the predicted delay,the anchors were re-selected in the radius area of the approximate range to compute the new range.In accordance with the above process,the coordinate system constantly iterated the network distance and dynamically chose anchors until the prediction accuracy meet the requirement.Experiments show that the approach can not only effectively improve the prediction accuracy of delay but also overcome inconsistencies of the prediction accuracy to a certain extent.…”
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  12. 1432

    Study on the Coupling Frequency of Double-Sided Submerged Ring-Stiffened Cylindrical Shells by Anbin Yu, Yinglong Zhao, Youqian Wang, Ben Zhang

    Published 2020-01-01
    “…And the effects of water immersion on both sides, free surface, and hydrostatic pressure on the cylindrical shell are considered in the coupling model. Muller three-point iterative method is used to solve the coupling frequency. …”
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  13. 1433

    Nonrecursive Equivalent of the Conjugate Gradient Method without the Need to Restart by Josip Dvornik, Damir Lazarevic, Antonia Jaguljnjak Lazarevic, Marija Demsic

    Published 2019-01-01
    “…A simple alternative to the conjugate gradient (CG) method is presented; this method is developed as a special case of the more general iterated Ritz method (IRM) for solving a system of linear equations. …”
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  14. 1434

    Adaptive selection method of differential privacy GAN gradient clipping thresholds by Peng GUO, Shangping ZHONG, Kaizhi CHEN, Hang CHENG

    Published 2018-05-01
    “…A method of adaptive selection of differential privacy GAN gradient clipping threshold was proposed.The method assumes that a small portion of public data that is identically distributed with the private data can be accessed,a batch of data is randomly selected from the public data,a clipping threshold is set as an average gradient norm of the batch of data,and the above operations are iterated until the network converges.The method was verified on the Mnist and Cifar10 data sets.The results show that under a reasonable privacy budget,the accuracy of CNN classifiers is improved by 1%~4% compared with the differential privacy auxiliary classifier GAN,inception scores increased by 0.6~1.2.…”
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  15. 1435

    On a New Three-Step Class of Methods and Its Acceleration for Nonlinear Equations by T. Lotfi, K. Mahdiani, Z. Noori, F. Khaksar Haghani, S. Shateyi

    Published 2014-01-01
    “…The proposed class uses four function evaluations per iteration with convergence order eight. Therefore, it is an optimal three-step scheme without memory based on Kung-Traub conjecture. …”
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  16. 1436

    Global Existence to an Attraction-Repulsion Chemotaxis Model with Fast Diffusion and Nonlinear Source by Yingjie Zhu, Fuzhong Cong

    Published 2015-01-01
    “…Our main results are based on the method of energy estimates, where the key estimates are obtained by a technique originating from Moser’s iterations. Moreover, we notice that the cell density goes to the maximum value when the diffusion coefficient of the cell density tends to infinity.…”
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  17. 1437

    FPGA Implementation of A∗ Algorithm for Real-Time Path Planning by Yuzhi Zhou, Xi Jin, Tianqi Wang

    Published 2020-01-01
    “…The traditional A∗ algorithm is time-consuming due to a large number of iteration operations to calculate the evaluation function and sort the OPEN list. …”
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  18. 1438

    Power allocation algorithm for cognitive radio energy harvesting networks based on energy cooperation by Zhen-wei XIE, Qi ZHU

    Published 2017-09-01
    “…An algorithm to optimize the power allocation by maximizing the system throughput in cognitive radio energy harvesting networks was proposed.The algorithm formulated the throughput optimization model subject to the causality constraints of the harvested energy within the two secondary users and the interference constraint of the primary user.In addition,by applying the variable-substitution method and problem equivalence transformation,the joint optimization problem of power and cooperative energy was decoupled into two problems:a power allocation problem and a cooperative energy one.The former problem could be solved by iterating the two decoupled problems.As shown in the simulation results,the energy cooperation can significantly improve the system throughput when the harvested energy difference between two nodes is rather large.…”
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  19. 1439

    The Time-Fractional Coupled-Korteweg-de-Vries Equations by Abdon Atangana, Aydin Secer

    Published 2013-01-01
    “…It was also demonstrated that HDM is more efficient than the adomian decomposition method (ADM), variational iteration method (VIM), homotopy analysis method (HAM), and homotopy perturbation method (HPM).…”
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  20. 1440

    Cognitive network channel allocation method based on the queuing delay and game analysis by Jun LIU, Xiu-feng XIE

    Published 2012-06-01
    “…A new dynamic spectrum allocation method for distributed cognitive radio networks was proposed.In the method,packet transmission success rate is chosen as the utility function,the transmission delay is resolved by the priority queuing model,and the user’s channel allocation strategy is achieved by distributed game.Compared with other algorithms,the policy iteration process is improved effectively,and a dynamic strategy adjustment step is adopted.Each network user dynamically adjust their channel choose strategy based on current perception of the remaining user’s strategy.The proposed algorithm lets channel selection strategy converge more quickly to equilibrium point,and effectively suppresses the policy shocks.The simulation results validate the proposed algorithm.…”
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