Výsledky vyhledávání - sequential ((least OR last) OR past) 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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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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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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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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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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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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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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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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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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Fast and Simple Gradient Projection Algorithms for Phase-Only Beamforming Autor Zhang, Ming, Li, Jianxing, Zhu, Shitao, Chen, Xiaoming

“… This paper studies two fast and simple GP algorithms for the problem of POB. First we give a new interpretation of the GP method under the framework of sequential quadratic programming (SQP…”
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A p-step-ahead sequential adaptive algorithm for D-optimal nonlinear regression design Autor Freise, Fritjof, Gaffke, Norbert, Schwabe, Rainer

“…Under a nonlinear regression model with univariate response an algorithm for the generation of sequential adaptive designs is studied…”
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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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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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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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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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A multiplicative regularized Gauss-Newton method with trust region Sequential Quadratic Programming for structural model updating Autor Mazzotti, Matteo, Mao, Qiang, Bartoli, Ivan, Livadiotis, Stylianos

“…•A trust region Sequential Quadratic Programming with bound constraints is used.•The size of the trust region is a parameter of the regularization functional…”
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Conicity error evaluation using sequential quadratic programming algorithm Autor He, Gaiyun, Liu, Peipei, Guo, Longzhen, Wang, Kai

“… Conicity error is evaluated as a typical example in this paper based on sequential quadratic programming (SQP) algorithm…”
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A Non-Sequential Steganography Method Using Perfect Square Quotient Differencing (NSPSQD) Autor Basak, Ratan Kumar, Chatterjee, Ritam, Dasgupta, Kousik, Dutta, Paramartha

“… This paper introduces a new way to hide data using a technique called Perfect Square Quotient Differencing…”
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