Results 51 to 60 of about 147,801 (260)
The Hybrid BFGS-CG Method in Solving Unconstrained Optimization Problems
Abstract and Applied Analysis, 2014 In solving large scale problems, the quasi-Newton method is known as the most efficient method in solving unconstrained optimization problems. Hence, a new hybrid method, known as the BFGS-CG method, has been created based on these properties, combining ...
Mohd Asrul Hery Ibrahim +2 more
doaj +1 more source
An Adaptive Lp Norm Minimization Algorithm for Direction of Arrival Estimation
Remote Sensing, 2022 In this paper, we propose a new direction of arrival (DOA) estimation algorithm, in which DOA estimation is achieved by finding the sparsest support set of multiple measurement vectors (MMV) in an over-complete dictionary. The proposed algorithm is based
Lutao Liu, Zejing Rao
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Advanced Science, EarlyView.An entity‐centric foundation model, GloPath, is introduced for comprehensive glomerular lesion assessment from routine renal biopsy images. Trained on over one million glomeruli, the framework enables robust lesion recognition, grading, and cross modality diag nosis, while uncovering large‐scale clinicopathological associations.
Qiming He +28 more
wiley +1 more source
An Approximate Quasi-Newton Bundle-Type Method for Nonsmooth Optimization
Abstract and Applied Analysis, 2013 An implementable algorithm for solving a nonsmooth convex optimization problem is proposed by combining Moreau-Yosida regularization and bundle and quasi-Newton ideas. In contrast with quasi-Newton bundle methods of Mifflin et al.
Jie Shen, Li-Ping Pang, Dan Li
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Hybrid Levenberg–Marquardt and weak-constraint ensemble Kalman smoother method [PDF]
Nonlinear Processes in Geophysics, 2016 The ensemble Kalman smoother (EnKS) is used as a linear least-squares solver in the Gauss–Newton method for the large nonlinear least-squares system in incremental 4DVAR.
J. Mandel +4 more
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Sono‐Mechanogenetics: Linking Ultrasound Physics With Cellular Mechanobiology
Advanced Science, EarlyView.Sono‐mechanogenetics links ultrasound physics with cellular mechanotransduction to enable noninvasive control of engineered biological systems. Acoustic forces generate distinct deformation modes that activate intracellular signaling pathways, which can be coupled to synthetic gene circuits to regulate diverse cellular functions, including gene ...
Yunjia Qu +4 more
wiley +1 more source
Machines, 2023 In this paper, a space-time absolute nodal coordinate formulation cable (SAC) element forming technique based on the Lagrange family of shape functions is proposed.
Dekun Chen, Kun Li, Nianli Lu, Peng Lan
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Stabilized material point methods for coupled large deformation and fluid flow in porous materials
, 2019 The material point method (MPM) has been increasingly used for the simulation of large deformation processes in fluid-infiltrated porous materials. For undrained poromechanical problems, however, standard MPMs are numerically unstable because they use ...
Choo, Jinhyun, Zhao, Yidong
core +2 more sources
Greedy Quasi-Newton Methods with Explicit Superlinear Convergence
SIAM Journal on Optimization, 2021 In this paper, we study greedy variants of quasi-Newton methods. They are based on the updating formulas from a certain subclass of the Broyden family. In particular, this subclass includes the well-known DFP, BFGS and SR1 updates. However, in contrast to the classical quasi-Newton methods, which use the difference of successive iterates for updating ...
Rodomanov, Anton, Nesterov, Yurii
openaire +3 more sources
Advanced Science, EarlyView.A quasi‐periodic Dart‐Kite (QDK) metastructure with a golden‐ratio‐constrained strong–weak bond network simultaneously enhances strength, toughness, and damage tolerance. Its distributed topology enables predictable, tailorable crack paths for precise fracture control and stable mechanics, demonstrating a high‐performance, controllable architecture ...
Tianyu Gao +3 more
wiley +1 more source