Výsledky vyhledávání - sequential (least OR last) squares programming algorithm~

Multi-objective optimization design of an umbilical cross-sectional layout based on the sequential least squares quadratic programming algorithm Autor Ran, Qian, Li, Meng, Peng, Fusen, Du, Yanlian, Shen, Yijun, Ma, Yongqi

“… The umbilical cross-sectional layout optimization involves complex constraints, effectively handled by the sequential least squares quadratic programming (SLSQP) algorithm…”
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A cost-effective trilateration-based radio localization algorithm using machine learning and sequential least-square programming optimization Autor Marques, João Paulo P.G., Cunha, Daniel C., Harada, Lucas M.F., Silva, Lizandro N., Silva, Igor D.

“… With this in mind, we propose a trilateration-based approach using machine learning (ML) and sequential least-square programming (SLSQP…”
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Sequential quantile regression for stream data by least squares Autor Fan, Ye, Lin, Nan

“… Our proposed algorithm, partly motivated by the Bayesian QR, converts the non-smooth optimization into a least squares problem and is hence significantly faster than existing algorithms…”
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Improved SQP and SLSQP algorithms for feasible path-based process optimisation Autor Ma, Yingjie, Gao, Xi, Liu, Chao, Li, Jie

“… The sequential quadratic programming (SQP) algorithm is usually used to drive the feasible path algorithms towards optimality…”
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Study of the nuclear mass model by sequential least squares programming Autor Yang, Hang, Chen, Cun-Yu, Xu, Xiao-Yu, Wang, Han-Kui, Wang, You-Bao

“… The sequential least squares programming (SLSQP) algorithm augments the precision of this multinomial mass model by reducing the error from 1.863 MeV to 1.631 MeV…”
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Sequential hierarchical least-squares programming for prioritized non-linear optimal control Autor Pfeiffer, Kai, Kheddar, Abderrahmane

“…We present a sequential hierarchical least-squares programming solver with trust-region and hierarchical step-filter with application to prioritized discrete non-linear optimal control…”
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Sequential Quadratic Programming Method for Nonlinear Least Squares Estimation and Its Application Autor Fu, Zhengqing, Guo, Lanlan, Liu, Guolin

“…In this study, we propose a direction-controlled nonlinear least squares estimation model that combines the penalty function and sequential quadratic programming…”
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WG-SLSQP: Weighted Geometric Based Sequential Least Square Programming for Sink Node Placement in WBAN Autor Hanif, Maria, Ahmad, Rizwan, Hameed, Abdul, Babar, Muhammad, Asim, Muhammad

“…Wireless Body Area Networks (WBANs) have significantly transformed human life, particularly in sectors such as healthcare, fitness, entertainment, and sports…”
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An experimental study on local and global optima of linear antenna array synthesis by using the sequential least squares programming Autor Gong, Miao, Zhao, Fei, Zeng, Sanyou, Li, Changhe

“… To address how poor the local optima with the synthesis problems, an experimental study is done on the local and the global optima of array syntheses by using the sequential least squares programming (SLSQP…”
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Accelerating sequential least squares active set control allocation Autor Hafner, Simon, Myschik, Stephan, Holzapfel, Florian

“…The Sequential Least Squares Active Set (SLS-AS) algorithm is commonly used in control allocation (CA…”
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Study of the nuclear mass model by sequential least squares programming: Study of the nuclear mass model by sequential least squares Autor Yang, Hang, Chen, Cun-Yu, Xu, Xiao-Yu, Wang, Han-Kui, Wang, You-Bao

“… The sequential least squares programming (SLSQP) algorithm augments the precision of this multinomial mass model by reducing the error from 1.863 MeV to 1.631 MeV…”
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End-effector Cartesian stiffness shaping - sequential least squares programming approach Autor Knezevic, Nikola, Lukic, Branko, Jovanovic, Kosta, Zlajpah, Leon, Petric, Tadej

“… The method proposed in this paper to investigate null-space reconfiguration's influence on Cartesian robot stiffness is based on the Sequential Least Squares Programming (SLSQP…”
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iAmyP: A Multi-view Learning for Amyloidogenic Hexapeptides Identification Based on Sequence Least Squares Programming Autor Cai, Jinling, Zhao, Jianping, Bin, Yannan, Xia, Junfeng, Zheng, Chunhou

“…The development of peptide drug is hindered by the risk of amyloidogenic aggregation; if peptides tend to aggregate in this manner, they may be unsuitable for…”
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Total least squares adjustment in inequality constrained partial errors-in-variables models: optimality conditions and algorithms Autor Xie, Jian, Lin, Dongfang, Long, Sichun

“…) model are probably improved. In this contribution, we first present the optimality conditions for inequality constrained weighted total least squares (ICWTLS…”
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The Sequential Fusion Estimation Algorithms Based on Gauss-Newton Method Over Multi-Agent Networked Systems Autor Wu, Mou, Zhong, Liangji, Tan, Liansheng, Xiong, Naixue

“…In multi-agent networked systems, parameter estimation problems arising in many practical applications are often required to solve Non-Linear Least Squares (NLLS…”
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Research on Prediction of Dissolved Gas Concentration in a Transformer Based on Dempster–Shafer Evidence Theory-Optimized Ensemble Learning Autor Zhang, Pan, Hu, Kang, Yang, Yuting, Yi, Guowei, Zhang, Xianya, Peng, Runze, Liu, Jiaqi

“…The variation in dissolved gas concentration in the transformer serves as a crucial indicator for assessing the health status and potential faults of the…”
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A Deep Learning-Based Ensemble System for Brent and WTI Crude Oil Price Analysis and Prediction Autor Zhang, Yiwen, Lahmiri, Salim

“… Their respective parameters are fine-tuned by Bayesian optimization (BO). In the second stage, forecasts from the previous stage are all weighted by using the sequential…”
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Optimal utilisation of PMU measurements in power system hybrid state estimators Autor Dubey, Anamika, Chakrabarti, Saikat, Sharma, Ankush, Terzija, Vladimir

“… Non-linear constrained optimisation problems can be efficiently solved by the sequential quadratic programming (SQP) algorithm…”
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Minimizing Urban Flooding by Optimal Design of Drainage System Using Sequential Least Squares Quadratic Programming and Spatial Datasets Autor Ekeh, James O., Jha, Manoj K.

“… We propose a solution algorithm using sequential least squares quadratic programming and spatial datasets…”
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High-Efficiency Extraction Method for Thermal Network Model of Advanced Electronic Packages Autor Hu, Ian, Kuo, Yu-Chih, Yang, Tian-Shiang

“… A domain-knowledge-assisted sequential least-squares programming (SLSQP) technique is used to minimize the objective function…”
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