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在“Elsevier电子期刊”中，命中：3,782条，耗时：0.0649522 秒

在所有数据库中总计命中：17,962条

1.Generalized total least squares prediction algorithm for universal 3D similarity transformation

作者：Bin Wang^a ; ^b ; ^{binwangsgg@whu.edu.cn} ; Jiancheng Li^a ; Chao Liu^c ; Jie Yu^d

刊名：Advances in Space Research

出版年：2017

2.Galerkin v. least-squares Petrov-Galerkin projection in nonlinear model reduction

作者：Kevin Carlberg^a ; ^{ktcarlb@sandia.gov} ; Matthew Barone^b ; ^{mbarone@sandia.gov} ; Harbir Antil^c ; ^{hantil@gmu.edu}

关键词：Model reduction ; GNAT ; Least-squares Petrov&ndash ; Galerkin projection ; Galerkin projection ; CFD

刊名：Journal of Computational Physics

出版年：2017

3.Detection of inborn errors of metabolism utilizing GC-MS urinary metabolomics coupled with a modified orthogonal partial least squares discriminant analysis

作者：Qin Yang^a ; ^b ; Shan-Shan Lin^c ; Jiang-Tao Yang^c ; ^{Yangjiangtao@aonelab.com.cn} ; Li-Juan Tang^a ; Ru-Qin Yu^a ; ^{rqyu@hnu.edu.cn}

关键词：Gas chromatography-mass spectrometry ; Urinary metabolomic analysis ; Inborn errors of metabolism ; Orthogonal partial least squares discriminant analysis ; Hybrid particle swarm optimization

刊名：Talanta

出版年：2017

4.Fast reconstruction algorithm for perturbed compressive sensing based on total least-squares and proximal splitting

作者：Reza Arablouei ^{reza.arablouei@csiro.au" class="auth_mail" title="E-mail the corresponding author}

关键词：Non-convex optimization ; Perturbed compressive sensing ; Proximal-gradient method ; Rayleigh quotient ; Sparse reconstruction ; Sparse total least-squares

刊名：Signal Processing

出版年：2017

5.Fast quantum algorithms for least squares regression and statistic leverage scores

作者：Yang Liu ^{yliu@cse.cuhk.edu.hk} ; Shengyu Zhang ; ^{syzhang@cse.cuhk.edu.hk}

关键词：Least square regression ; Statistical leverage score ; Quantum algorithms

刊名：Theoretical Computer Science

出版年：2017

6.Galerkin least squares finite element method for the obstacle problem

作者：Erik Burman^a ; ^{e.burman@ucl.ac.uk} ; Peter Hansbo^b ; Mats G. Larson^c ; Rolf Stenberg^d

关键词：Obstacle problem ; Augmented Lagrangian method ; A priori error estimate ; A posteriori error estimate ; Adaptive method

刊名：Computer Methods in Applied Mechanics and Engineering

出版年：2017

7.Resurrecting weighted least squares

作者：Joseph P. Romano^a ; ^{romano@stanford.edu} ; Michael Wolf^b ; ^{michael.wolf@econ.uzh.ch}

关键词：C12 ; C13 ; C21

刊名：Journal of Econometrics

出版年：2017

8.A first order system least squares method for the Helmholtz equation

作者：Huangxin Chen^a ; ^{chx@xmu.edu.cn" class="auth_mail" title="E-mail the corresponding author} ; Weifeng Qiu^b ; ^{weifeqiu@cityu.edu.hk" class="auth_mail" title="E-mail the corresponding author}

关键词：65N30 ; 65L12

刊名：Journal of Computational and Applied Mathematics

出版年：2017

9.Robust regularized extreme learning machine for regression using iteratively reweighted least squares

作者：Kai Chen^a ; ^{kaenchan@163.com}Author Vitae ; Qi Lv^aAuthor Vitae ; Yao Lu^bAuthor Vitae ; Yong Dou^aAuthor Vitae

关键词：00-01 ; 99-00

刊名：Neurocomputing

出版年：2017

10.How to model a muscle’s active force-length relation: A comparative study

作者：R. Rockenfeller^a ; ^{rrockenfeller@uni-koblenz.de} ; M. Gü ; nther^b ; ^c

关键词：CE ; contractile element ; cf. ; confer (compare) ; DOF ; degree(s) of freedom ; FLR ; (isometric) force&ndash ; length relation ; GHJ ; Gordon ; Huxley and Julian ; i.e. ; id est (that is) ; LSE ; least-squares error ; MTU ; muscle&ndash ; tendon unit ; SLSE ; scaled least-squares error ; w.r.t. ; with respect to

刊名：Computer Methods in Applied Mechanics and Engineering

出版年：2017

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