Showing 501 - 520 results of 645 for search '"Computational complexity theory', query time: 0.11s Refine Results
  1. 501

    A Guide to Light-Cone PDFs from Lattice QCD: An Overview of Approaches, Techniques, and Results by Krzysztof Cichy, Martha Constantinou

    Published 2019-01-01
    “…For more than half a century, there has been a joint experimental and theoretical effort to obtain these partonic functions. However, the complexity of the strong interactions has placed severe limitations, and first-principle information on these distributions was extracted mostly from their moments computed in Lattice QCD. …”
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  2. 502

    IMPLEMENTATION OF THE ALGEBRA OF HYPERDUAL NUMBERS IN NEURAL NETWORKS by Bimurat Sagindykov, Zhanar Bimurat

    Published 2024-10-01
    “…The introduction reviews the historical development of the general theory of complex numbers and the use of simple complex, double and dual numbers, which are a subset of the set of general complex numbers, in various fields of mathematics. …”
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  3. 503

    Numerical Studies of the Gas-Solid Hydrodynamics at High Temperature in the Riser of a Bench-Scale Circulating Fluidized Bed by Maximilian J. Hodapp, Jhon J. Ramirez-Behainne, Milton Mori, Leonardo Goldstein

    Published 2012-01-01
    “…The hydrodynamics of circulating fluidized beds (CFBs) is a complex phenomenon that can drastically vary depending on operational setup and geometrical configuration. …”
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  4. 504

    Investigating the Dynamics of a Unidirectional Wave Model: Soliton Solutions, Bifurcation, and Chaos Analysis by Tariq Alraqad, Muntasir Suhail, Hicham Saber, Khaled Aldwoah, Nidal Eljaneid, Amer Alsulami, Blgys Muflh

    Published 2024-11-01
    “…These results validate the effectiveness of the employed method, providing thorough and consistent solutions with significant computational efficiency. The investigated soliton solutions will be valuable in understanding complex physical structures in various scientific fields, including ferromagnetic dynamics, nonlinear optics, soliton wave theory, and fiber optics. …”
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    A Petrov–Galerkin approach for the numerical analysis of soliton and multi-soliton solutions of the Kudryashov–Sinelshchikov equation by H. Samy, W. Adel, I. Hanafy, M. Ramadan

    Published 2024-12-01
    “…Visual representations, such as graphs derived from tabulated data, offer valuable insights into the dynamic changes of the equation over time or in response to varying parameters. Furthermore, we compute conservation quantities of motion and investigate the stability of our numerical scheme using Von Neumann theory, providing a comprehensive analysis of the Kudryashov–Sinelshchikov equation and the robustness of our computational approach. …”
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  7. 507

    An algorithm for lane detection based on RIME optimization and optimal threshold by Shuang Zhai, Xiao Zhao, Guoming Zu, Libin Lu, Chao Cheng

    Published 2024-11-01
    “…A pre-processing model based on Retinex theory is used to reduce noise and preserve grey scale detail. …”
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  8. 508

    A Diversified Spectrometric and Molecular Docking Technique to Biophysical Study of Interaction between Bovine Serum Albumin and Sodium Salt of Risedronic Acid, a Bisphosphonate fo... by M. Manjushree, Hosakere D. Revanasiddappa

    Published 2018-01-01
    “…The formation of a BSA-RSN complex was confirmed from UV-Vis spectroscopy. The static type of quenching shown for RSN to BSA was verified from Stern–Volmer and modified Stern–Volmer equations. …”
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    Azobenzene as an Effective Ligand in Europium Chemistry—A Synthetic and Theoretical Study by Damian G. Allis, Ana Torvisco, Cody C. Webb, Miriam M. Gillett-Kunnath, Karin Ruhlandt-Senge

    Published 2024-11-01
    “…An initial exploration into the computational modeling of these and similar complexes for subsequent property prediction and optimization is performed through a methodological survey of structure reproduction using density functional theory.…”
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  13. 513

    Improved EAD Algorithm to Estimate Domains of Attraction of Power Systems Including Induction Motors for Transient Voltage Stability Analysis by Lei Chen, Tianhao Wen, Yuqing Lin, Yang Liu, Q. H. Wu, Chao Hong, Yinsheng Su

    Published 2024-01-01
    “…Transient voltage stability analysis (TVSA) of power systems is one of the most computationally challenging tasks in dynamic security assessment. …”
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  14. 514

    Efficient spectrally-resolved electron transport for thermal property prediction by Jackson R. Harter, Shuxiang Zhou, Sebastian Schunert, Andrea Jokisaari, P. Alex Greaney

    Published 2024-12-01
    “…Predicting thermal conductivity from the transport of electrons is a complex challenge which must be addressed for the design and production of nano- and microscale devices. …”
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  15. 515

    Effect of Axial Vibration on Sliding Frictional Force between Shale and 45 Steel by Wu Hao, Chen Ping, Liu Yang, Ma Tianshou

    Published 2018-01-01
    “…Meanwhile, a friction coupling model was established based on the Hertz contact theory and Dahl model. The corresponding computational program was developed in Matlab/Simulink environment. …”
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  16. 516

    Binary plant rhizome growth-based optimization algorithm: an efficient high-dimensional feature selection approach by Jin Zhang, Fu Yan, Jianqiang Yang

    Published 2025-01-01
    “…This paper introduces an innovative intelligent optimization algorithm, the Plant Root Growth Optimization (PRGO) algorithm, inspired by the structure of plant rhizomes and the way they absorb nutrients.In the algorithm, the plant rhizomes are divided into two categories, the taproot and the fibrous root.the growth process of the taproot plants is associated with the global exploration search, and the growth process of the fibrous root plants relates to the local exploitation search.The global asymptotic convergence of the algorithm is proved by applying Markov’s correlation theory, and simulation results using CEC2014 and CEC2017 test sets show that the proposed algorithm has excellent performance.Moreover, a binary variant of this algorithm (BPRGO) has been specifically crafted in this research to tackle the complexities of high-dimensional feature selection issues. …”
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    Advancements in Physics-Informed Neural Networks for Laminated Composites: A Comprehensive Review by Salman Khalid, Muhammad Haris Yazdani, Muhammad Muzammil Azad, Muhammad Umar Elahi, Izaz Raouf, Heung Soo Kim

    Published 2024-12-01
    “…Physics-Informed Neural Networks (PINNs) integrate physics principles with machine learning, offering innovative solutions for complex modeling challenges. Laminated composites, characterized by their anisotropic behavior, multi-layered structures, and intricate interlayer interactions, pose significant challenges for traditional computational methods. …”
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