Results 81 to 90 of about 681,860 (297)
Denoising of ASL Data Using Deep Learning Priors Generated From Distribution Remapping
Magnetic Resonance in Medicine, EarlyView.ABSTRACT Purpose To develop an effective deep learning (DL)–based method to denoise arterial spin labeling (ASL) data. Methods Conventional DL–based ASL denoising methods often suffer from overfitting and poor generalization when training data are limited.
Ziyang Xu +9 more
wiley +1 more source
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
doaj
Quasi-Newton methods with provable efficiency guarantees
, 2022 Quasi-Newton methods are very popular in Optimization. They have a long, rich history, and perform extremely well for solving real-life problems. However, almost nothing is known about theoretical efficiency guarantees for these methods. The goal of this
Rodomanov, Anton
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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
wiley +1 more source
, 2018 This record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete.
Stephen Family, Newton Family
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Quasi-newton Methods With Derivatives
, 2015 When the Jacobian of a nonlinear system of equation is fully available, the main drawback for the application of Newton's method is the linear algebra work associated with its basic iteration.
Martinez J.M.
core +1 more source
Disguised and new quasi-Newton methods for nonlinear eigenvalue problems [PDF]
, 2017 In this paper, we take a quasi-Newton approach to nonlinear eigenvalue problems (NEPs) of the type M(λ)v = 0, where (Formula presented.) is a holomorphic function.
A. Koskela +8 more
core +1 more source
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
wiley +1 more source
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
doaj
, 2015 The article probes the impact of prison on Huey P. Newton, founder of the Black Panther Party. Incarcerated for three years in various locations in California, Newton descended into cocaine addiction and criminality soon after his 1970 release.
Street, Joe
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