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1.On semidefinite least squares and minimal unsatisfiability

作者：Miguel F. Anjos^a ; ^{anjos@stanfordalumni.org} ; Manuel V.C. Vieira^b ; ^{mvcv@fct.unl.pt}

关键词：Semidefinite programming ; Satisfiability ; Minimal unsatisfiability ; Farkas&rsquo ; Lemma ; Semidefinite least squares

刊名：Discrete Applied Mathematics

出版年：2017

2.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

3.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

4.Simplified Least Squares Shadowing sensitivity analysis for chaotic ODEs and PDEs

作者：Mario Chater ; ^{chaterm@mit.edu} ; Angxiu Ni ^{niangxiu@mit.edu} ; Qiqi Wang ^qiqi@mit.edu

关键词：Sensitivity analysis ; Linear response ; Adjoint equation ; Unsteady adjoint ; Chaos ; Least squares shadowing

刊名：Journal of Computational Physics

出版年：2017

5.Approximate Gauss-Newton methods for solving underdetermined nonlinear least squares problems

作者：Ji-Feng Bao^a ; ^b ; ¹ ; ^{feelwinter@163.com" class="auth_mail" title="E-mail the corresponding author} ; Chong Li^c ; ² ; ^{cli@zju.edu.cn" class="auth_mail" title="E-mail the corresponding author} ; Wei-Ping Shen^d ; ^{shenweiping@zjnu.cn" class="auth_mail" title="E-mail the corresponding author} ; Jen-Chih Yao^e ; ³ ; ^{yaojc@mail.cmu.edu.tw" class="auth_mail" title="E-mail the corresponding author} ; Sy-Ming Guu^f ; ⁴ ; ^{iesmguu@mail.cgu.edu.tw" class="auth_mail" title="E-mail the corresponding author} ; ^{iesmguu@gmail.com" class="auth_mail" title="E-mail the corresponding author}

关键词：Nonlinear least squares problems ; Approximate Gauss&ndash ; Newton methods ; Lipschitz condition

刊名：Applied Numerical Mathematics

出版年：2017

6.Modeling collinear data using double-layer GA-based selective ensemble kernel partial least squares algorithm

作者：Jian Tang^a ; ^b ; ^cAuthor Vitae ; Jian Zhang^a ; ^{jianzhang_neu@163.com}Author Vitae ; Zhiwei Wu^bAuthor Vitae ; Zhuo Liu^bAuthor Vitae ; Tianyou Chai^bAuthor Vitae ; Wen Yu^dAuthor Vitae

关键词：Collinear and nonlinear data modeling ; Latent variable (LV) ; Selective ensemble learning ; Double-layer genetic algorithm (DLGA) optimization ; Kernel partial least squares (KPLS)

刊名：Neurocomputing

出版年：2017

7.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

8.Approximate analytical solutions of nonlinear differential equations using the Least Squares Homotopy Perturbation Method

作者：Constantin Bota ^{constantin.bota@mat.upt.ro} ; Bogdan Căruntu ; ^{bogdan.caruntu@mat.upt.ro}

关键词：Least Squares Homotopy Perturbation Method ; Nonlinear differential equations ; Approximate analytical solution ; Homotopy Perturbation Method

刊名：Journal of Mathematical Analysis and Applications

出版年：2017

9.Multiview partial least squares

作者：Yi Mou^a ; ^{mouyi@whpu.edu.cn} ; Long Zhou^a ; Xinge You^b ; Yaling Lu^a ; Weizhen Chen^a ; Xu Zhao^a

关键词：Multiview data ; Partial least squares ; Regression

刊名：Chemometrics and Intelligent Laboratory Systems

出版年：2017

10.Heart sound classification based on scaled spectrogram and partial least squares regression

作者：Wenjie Zhang^a ; Jiqing Han^a ; ^{jqhan@hit.edu.cn} ; Shiwen Deng^b ; ^{dengswen@gmail.com}

关键词：Scaled spectrogram ; Heart sound ; Partial least squares regression

刊名：Biomedical Signal Processing and Control

出版年：2017

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