Results 81 to 90 of about 124,946 (301)
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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International Journal for Numerical and Analytical Methods in Geomechanics, EarlyView.ABSTRACT Numerical simulation of hydraulic fracturing remains challenging due to the strong coupling between geomechanics and fluid flow when modelling multiple physical mechanisms of rock deformation, fracture evolution and fluid leak‐off. This study develops a coupled hydraulic fracture propagation framework that combines the extended finite element ...
Ran Tao, Juliana Y. Leung, Samer Adeeb
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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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Representing Symmetric Rank Two Updates [PDF]
Various quasi-Newton methods periodically add a symmetric "correction" matrix of rank at most 2 to a matrix approximating some quantity A of interest (such as the Hessian of an objective function).
David M. Gay
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Numerical Modeling of Geological Fault Reactivation Using Sequential Coupling Strategies
International Journal for Numerical and Analytical Methods in Geomechanics, EarlyView.ABSTRACT The interaction between fluid flow and mechanical deformation in fault zones can lead to processes of fault reactivation, triggering potential geomechanical problems such as seismicity, well collapse, fluid migration to shallower layers, and aggravated surface subsidence.
Julio Rueda +3 more
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A Newton Method for Linear Programming
, 2002 A fast Newton method is proposed for solving linear programs with a very large ( 106) number of constraints and a moderate ( 102) number of variables. Such linear programs occur in data mining and machine learning.
O. L. Mangasarian, Mangasarian, Olvi
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Nordgren PINNs to VQE: Advancing Hydraulic Fracturing Simulations in Shale Reservoirs
International Journal for Numerical and Analytical Methods in Geomechanics, EarlyView.ABSTRACT This study advances hydraulic fracturing simulations in shale reservoirs using two computational paradigms, Physics‐Informed Neural Networks (PINNs) and the Variational Quantum Eigensolver (VQE). PINNs were employed to solve Nordgren's equation, which governs fracture width evolution, by embedding physical laws into the neural network ...
Dennis Delali Kwesi Wayo +7 more
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