Results 1 to 10 of about 12,439,104 (289)
Zeroth-Order Riemannian Adaptive Regularized Proximal Quasi-Newton Optimization Method
AxiomsRecently, the adaptive regularized proximal quasi-Newton (ARPQN) method has demonstrated a strong performance in solving composite optimization problems over the Stiefel manifold.
Yinpu Ma +3 more
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A quasi-Newton proximal splitting method
, 2012 A new result in convex analysis on the calculation of proximity operators in certain scaled norms is derived. We describe efficient implementations of the proximity calculation for a useful class of functions; the implementations exploit the piece-wise linear nature of the dual problem.
Becker, Stephen, Fadili, Jalal M.
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An Efficient Limited Memory Multi-Step Quasi-Newton Method
MathematicsThis paper is dedicated to the development of a novel class of quasi-Newton techniques tailored to address computational challenges posed by memory constraints. Such methodologies are commonly referred to as “limited” memory methods.
Issam A. R. Moghrabi, Basim A. Hassan
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Fatigue Life Prediction of Coiled Tubing Based on Optimized BP Neural Network
Shiyou jixie, 2023 When the standard BP neural network is used to predict the fatigue life of coiled tubing,local minimum is easily fallen into and training time is too long.To solve these problems,the momental gradient descent method,quasi-Newton algorithm and one-step ...
Dou Yihua +4 more
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Revista Árvore, 2009 Objetivou-se, neste trabalho, avaliar o ajuste do modelo volumétrico de Schumacher e Hall por diferentes algoritmos, bem como a aplicação de redes neurais artificiais para estimação do volume de madeira de eucalipto em função do diâmetro a 1,30 m do solo
Mayra Luiza Marques da Silva +3 more
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Forward Kinematics Analysis of 2RUS/RRS Parallel Mechanism
Jixie chuandong, 2018 The iterative search method（ Newton or Quasi-Newton） is an important numerical method for solving the forward kinematics（ FK） problem of parallel mechanisms. Due to the extremely displacement singularity in the limbs,the search space is easy to be out of
Geng Mingchao +3 more
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Computing the Projection on the Intersection of Linear Equality and Cardinality Constraints
IEEE AccessIn this paper, we introduce a novel approach to solve the vector projection problem under linear equality and cardinality constraints, termed the Quasi-Newton Lagrangian method. This approach employs a Lagrangian transformation to address linear equality
Xiao-Jing Wang, Zhen-Sheng Yu
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Results in Control and OptimizationThis paper presents a benchmark study of dual decomposition-based distributed optimization algorithms applied to constraint-coupled model predictive control problems.
Vassilios Yfantis +2 more
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Minimizing electric vehicle charging costs in the microgrid using the BFGS Quasi-Newton Method [PDF]
E3S Web of ConferencesElectric vehicles (EVs) offer a compelling solution for mitigating pollution, addressing environmental alterations, and enhancing energy security.
Badugu Jayababu +3 more
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Generalized Newton’s method for solving nonlinear and nondifferentiable algebraic systems
Journal of Numerical Analysis and Approximation Theory, 2015 In this paper a model based on non-smooth equations is proposed for solving a non-linear and non-differential equation obtained by discretization of a quasi-variational inequality that models the frictional contact problem. The main aim of this paper is
Nicolae Pop
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