Showing 121 - 140 results of 5,137 for search '"The Descent"', query time: 2.88s Refine Results
  1. 121

    The sufficient descent condition of nonlinear conjugate gradient method by Basri, Sri Mazzura, Mamat, Mustafa, Ghazali, Puspa Liza

    Published 2018
    “…In this paper, we proposed a new non-linear conjugate gradient coefficient that guarantees sufficient descent condition. Numerical tests indicate that the proposed coefficient is better than the three classical conjugate gradient coefficients.…”
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    Natural Evolutionary Gradient Descent Strategy for Variational Quantum Algorithms by Jianshe Xie, Chen Xu, Chenhao Yin, Yumin Dong, Zhirong Zhang

    Published 2023-01-01
    “…We show that using a combination of gradient-free natural evolutionary strategy and gradient descent can mitigate the possibility of optimizing barren plateaus in the landscape. …”
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    Article
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    On Gradient Descent Localization in 3-D Wireless Sensor Networks by Nuha Abdul Sahib Alwan, Alaa Shakir Mahmood

    Published 2015-05-01
    “…This problem is treated by using iterative gradient descent (GD), and an iterative GD-based algorithm for localization of moving sensors in a WSN has been proposed. …”
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    Jugular Venous Pulse Descent Patterns: Recognition and Clinical Relevance by Narasimhan Ranganathan, MBBS, FRCPC, FACP, FACC, FAHA, Vahe Sivaciyan, MD, FRCPC

    Published 2023-03-01
    “…These studies and long-term clinical observations have shown that the normal JVP descent pattern is single x' or x' > y, and the descent patterns of x' = y, x' < y, and single y descent alone are abnormal. …”
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    Article
  13. 133

    Quantum gradient descent and Newton’s method for constrained polynomial optimization by Patrick Rebentrost, Maria Schuld, Leonard Wossnig, Francesco Petruccione, Seth Lloyd

    Published 2019-01-01
    “…Optimization problems in disciplines such as machine learning are commonly solved with iterative methods. Gradient descent algorithms find local minima by moving along the direction of steepest descent while Newton’s method takes into account curvature information and thereby often improves convergence. …”
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    Article
  14. 134

    Safety cages efficiency during ascent and descent on vertical ladders by Vasilenko Vasiliy Vladimirovich, Zherdev Kirill Valerievich

    Published 2023-01-01
    “…The paper considers safety during ascent and descent on caged ladders, representing a way of collective protection. …”
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    Optimal CD-DY Conjugate Gradient Methods with Sufficient Descent by Abbas Y. Al-Bayati, Hawraz N. Al-Khayat

    Published 2013-12-01
    “…Most of CG-methods don’t always generate a descent search direction, so the descent condition is usually assumed in the analysis and implementations. …”
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    Amortized Bayesian Meta-Learning with Accelerated Gradient Descent Steps by Zhewei Zhang, Xuejing Li, Shengjin Wang

    Published 2023-07-01
    “…Recent meta-learning models often learn priors from observed tasks using a network optimized via stochastic gradient descent (SGD), which usually takes more training steps to convergence. …”
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    Article
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