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  1. 1

    Parallel block methods for solving higher order ordinary differential equations directly by Omar, Zurni

    Published 1999
    “…A new parallel algorithm for solving systems of ODEs using variable step size and order is also developed. …”
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  2. 2

    Parallel R-point implicit block method for solving higher order ordinary differential equations directly by Omar, Zurni, Sulaiman, M.

    Published 2004
    “…Hence, the development of parallel algorithms to suit these machines becomes essential. …”
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  3. 3

    Fast Finite Difference Time Domain Algorithms for Solving Antenna Application Problem by Hasan, Mohammad Khatim

    Published 2008
    “…Results show that these new sequential and parallel algorithms run faster than the standard sequential and parallel FDTD algorithms. …”
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  4. 4
  5. 5

    Paralell R-point implicit block method for solving higher order ordinary differential equations directly by Omar, Zurni, Sulaiman, M.

    Published 2004
    “…Hence, the development of parallel algorithms to suit these machines becomes essential. …”
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  6. 6
  7. 7

    Direct Block Methods for Solving Special Second Order Ordinary Differential Equations and Their Parallel Implementations by Yap, Lee Ken

    Published 2008
    “…The parallel codes of the block methods for the solution of large systems of ODEs are developed. …”
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    Thesis
  8. 8

    Performance Comparison of Parallel Bees Algorithm on Rosenbrock Function by Hammash, Nayif Mohammed

    Published 2012
    “…This thesis presents the parallel Bees Algorithm as a new approach for optimizing the last results for the Bees Algorithm. …”
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  9. 9

    Pembinaan dan pelaksanaan algoritma selari bagi kaedah kelas TTHS dan TTKS dalam menyelesaikan persamaan parabolik pada sistem komputer selari ingatan teragih by Alias, Norma

    Published 2004
    “…This thesis encompasses studies on recent advances in the development of parallel algorithmic techniques to solve large-scale problems involving the solution of systems of linear equations. …”
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  10. 10
  11. 11

    Parallel direct integration variable step block method for solving large system of higher order ordinary differential equations. by Abdul Majid, Zanariah, Suleiman, Mohamed

    Published 2009
    “…The algorithm of the method was developed in C language and the parallel computation was done on a parallel shared memory environment. …”
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  12. 12

    Topology-aware hypergraph based approach to optimize scheduling of parallel applications onto distributed parallel architectures by Koohi, Sina Zangbari

    Published 2020
    “…However, the current meta-heuristic algorithms do not ensure an optimum solution within a reasonable time. …”
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  13. 13
  14. 14

    Block Multistep Methods for Solving Ordinary Differential Equations by Ibrahim, Zarina Bibi

    Published 2006
    “…Finally, this thesis deals with parallel numerical algorithms for the solution of systems of ODEs. …”
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  15. 15

    Runge-Kutta-Nystrom Methods For Solving Oscillatory Problems by Senu, Norazak

    Published 2010
    “…New Runge-Kutta-Nyström (RKN) methods are derived for solving system of second-order Ordinary Differential Equations (ODEs) in which the solutions are in the oscillatory form. …”
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  16. 16

    Partitioning techniques and their parallelization for stiff system of ordinary differential equations by Othman, Khairil Iskandar

    Published 2007
    “…Parallelizing the right algorithm in the partitioning code will give a better perfonnance with shorter execution times. …”
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  17. 17

    Tile-Level Parallelism For H.264/Avc Codec Using Parallel Domain Decomposition Algorithm On Shared Memory Architecture by Eessa, Mohammed F.

    Published 2015
    “…This new level of parallelism for the H.264/AVC encoder has been designed in a way to consider several video coding and parallel- oriented metrics. …”
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  18. 18

    Solving ordinary differential equations using block multistep method by Mehrkanoon, Siamak

    Published 2011
    “…Both sequential and parallel algorithms were carried out on Sunfire V1280 with eight homogeneous processors located at Institute of Mathematical Research (INSPEM), University Putra Malaysia. …”
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  19. 19

    PMT : opposition based learning technique for enhancing metaheuristic algorithms performance by Hammoudeh, S. Alamri

    Published 2020
    “…Like existing OBL-based approaches, the PMT generates new potential solutions based on the currently selected candidate. …”
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  20. 20

    A parallel ensemble learning model for fault detection and diagnosis of industrial machinery by Shing, Chiang Ta, Mohammed Al-Andoli, Mohammed Nasser, Kok, Swee Sim, Seera, Manjeevan, Chee, Peng Lim

    Published 2023
    “…However, the gradient descent optimization method that is commonly used in deep learning suffers from several limitations, such as high computational cost and local sub-optimal solutions. Accordingly, this paper proposes a new parallel ensemble model comprising hybrid machine and deep learning for undertaking FDD tasks. …”
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