Search Results - "Newton Algorithm"

A Lagrange–Newton algorithm for sparse nonlinear programming by Zhao, Chen, Xiu, Naihua, Qi, Houduo, Luo, Ziyan

“… The nonsingularity of the corresponding Jacobian is discussed, based on which the Lagrange–Newton algorithm (LNA…”
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A Robust Gauss‐Newton Algorithm for the Optimization of Hydrological Models: Benchmarking Against Industry‐Standard Algorithms by Qin, Youwei, Kavetski, Dmitri, Kuczera, George

“…) algorithm, an enhanced version of the standard Gauss‐Newton algorithm that employs several heuristics to enhance its explorative abilities and perform robustly even for problematic objective functions…”
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A Robust Gauss‐Newton Algorithm for the Optimization of Hydrological Models: From Standard Gauss‐Newton to Robust Gauss‐Newton by Qin, Youwei, Kavetski, Dmitri, Kuczera, George

“…Model calibration using optimization algorithms is a perennial challenge in hydrological modeling. This study explores opportunities to improve the efficiency…”
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Noise robustness and parallel computation of the inverse compositional Gauss–Newton algorithm in digital image correlation by Shao, Xinxing, Dai, Xiangjun, He, Xiaoyuan

“…The inverse compositional Gauss–Newton (IC-GN) algorithm is one of the most popular sub-pixel registration algorithms in digital image correlation (DIC). The…”
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A robust stochastic quasi-Newton algorithm for non-convex machine learning: A robust stochastic quasi-Newton algorithm by Liu, Hanger, Liang, Yuqing, Liu, Jinlan, Xu, Dongpo

“… Nevertheless, the presence of a stochastic gradient equaling zero poses a significant obstacle to updating the quasi-Newton matrix, thereby impacting the stability of the quasi-Newton algorithm…”
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Optimizing Top- k Multiclass SVM via Semismooth Newton Algorithm by Chu, Dejun, Lu, Rui, Li, Jin, Yu, Xintong, Zhang, Changshui, Tao, Qing

“…> multiclass SVM algorithm, which employs semismooth Newton algorithm for the key building block to improve the training speed…”
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Dual-frequency impedance matching of new Tonpilz transducer based on Gauss-Newton algorithm by Gou, Yang, Li, Cong, Zheng, Fanghua, Fu, Xin

“… Then, the adaptive Gauss-Newton algorithm is adopted to optimize…”
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Sparse-spike seismic inversion with semismooth newton algorithm solver by Dai, Ronghuo

“…Seismic prospecting has been widely used in the exploration and development of underground geological resources, such as mineral products (e.x., coal, uranium…”
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Multi-Sensor Collaborative Positioning in Range-Only Single-Beacon Systems: A Differential Chan–Gauss–Newton Algorithm with Sequential Data Fusion by Ye, Yun, He, Hongyang, Lin, Enfan, Tang, Hongqiong

“…The development of underwater high-precision navigation technology is of great significance for the application of autonomous underwater vehicles (AUVs)…”
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An efficient Lagrange–Newton algorithm for long-only cardinality constrained portfolio selection on real data sets by Wang, Yingxiao, Kong, Lingchen, Qi, Houduo

“…Portfolio selection has always been a widely concerned issue in optimization and investment. Due to various forms of market friction, such as transaction costs…”
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Application of the Multiplicative Regularized Gauss-Newton Algorithm for Three-Dimensional Microwave Imaging by Abubakar, A., Habashy, T. M., Guangdong Pan, Mao-Kun Li

“…We apply the so-called multiplicative regularized Gauss-Newton inversion algorithm for solving three-dimensional electromagnetic microwave inverse problems…”
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A Lagrange-Newton algorithm for tensor sparse principal component analysis by Li, Shuai, Luo, Ziyan, Chen, Yang

“…This paper is concerned with the tensor sparse principal component analysis (TSPCA) by obtaining principal components which are linear combinations of a small…”
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Maximum Correntropy Criterion-Newton Algorithm for Adaptive Interpolated Volterra Filter by Deng, Tao, Lu, Lu, Zhu, Guangya

“…)-based interpolators, and their performance may degrade for combating impulsive noise. To address this problem, the maximum correntropy criterion-Newton algorithm for adaptive interpolated Volterra (MCCN-AIV…”
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Multinomial logistic regression classifier via lq,0-proximal Newton algorithm by Zhang, Penghe, Wang, Rui, Xiu, Naihua

“… Thus, most prior studies adopted a continuous approximation of the lq,0 norm. In this paper, we present a novel lq,0-proximal Newton algorithm (lq,0-PNA…”
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Error-Summation Enhanced Newton Algorithm for Model Predictive Control of Redundant Manipulators by Zhang, Fan, Jin, Long, Luo, Xin

“…Redundant manipulators have been investigated and employed in various fields, and its trajectory tracking is of much importance in the field of robotic…”
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Analysis of RL electric circuits modeled by fractional Riccati IVP via Jacobi-Broyden Newton algorithm by Abd El-Hady, Mahmoud, El-Gamel, Mohamed, Emadifar, Homan, El-shenawy, Atallah

“… We present a Jacobi collocation method combined with the Jacobi-Newton algorithm to address the fractional Riccati initial value problem…”
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Energy-saving control strategy for lighting system based on multivariate extremum seeking with Newton algorithm by Yin, Chun, Dadras, Sara, Huang, Xuegang, Mei, Jun, Malek, Hadi, Cheng, Yuhua

“…•An energy-saving control strategy is proposed for multi-group lighting sources.•The proposed controller is designed to minimize the light-energy…”
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Noise-Suppressing Newton Algorithm for Kinematic Control of Robots by Xiao, Xiuchun, Wei, Lin, Fu, Dongyang, Yan, Jingwen, Wang, Huan

“…In this paper, armed with the integral control method, a new noise-suppressing Newton (NSN) algorithm is proposed for the redundancy resolution of redundant…”
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A Semismooth Newton Algorithm for High-Dimensional Nonconvex Sparse Learning by Shi, Yueyong, Huang, Jian, Jiao, Yuling, Yang, Qinglong

“…The smoothly clipped absolute deviation (SCAD) and the minimax concave penalty (MCP)-penalized regression models are two important and widely used nonconvex…”
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An inexact quasi-Newton algorithm for large-scale ℓ1 optimization with box constraints by Cheng, Wanyou, LinPeng, Zhuanghan, Li, Donghui

“…In this paper, we develop an inexact quasi-Newton algorithm for ℓ1-regularization optimization problems subject to box constraints…”
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