Least squares

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1!  Ecole Doctorale des Sciences Fondamentales Title of the thesis: Resolution of non-linear systems using Least-squares type methods. Supervisor : Arnaud Münch Laboratory : UMR 6620 – Laboratoire de Mathématiques - C

! Ecole Doctorale des Sciences Fondamentales Title of the thesis: Resolution of non-linear systems using Least-squares type methods. Supervisor : Arnaud Münch Laboratory : UMR 6620 – Laboratoire de Mathématiques - C

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Source URL: recherche.math.univ-bpclermont.fr

Language: English - Date: 2018-03-06 08:58:14
2July 31, 2002  To appear in J. of DEDS LEAST SQUARES POLICY EVALUATION ALGORITHMS WITH LINEAR FUNCTION APPROXIMATION1

July 31, 2002 To appear in J. of DEDS LEAST SQUARES POLICY EVALUATION ALGORITHMS WITH LINEAR FUNCTION APPROXIMATION1

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Source URL: www.ifp.illinois.edu

Language: English - Date: 2006-11-13 17:37:24
    3Neurocomputing, vol.80, pp, Importance-Weighted Least-Squares Probabilistic Classifier for Covariate Shift Adaptation with

    Neurocomputing, vol.80, pp, Importance-Weighted Least-Squares Probabilistic Classifier for Covariate Shift Adaptation with

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    Source URL: www.ms.k.u-tokyo.ac.jp

    Language: English - Date: 2011-12-30 09:22:13
      4Least-squares migration using complex wavelets  Mark Miller* and Nick Kingsbury, Cambridge University; Richard Hobbs, Durham University Summary The use of multi-scale decompositions has lead to advances in representation

      Least-squares migration using complex wavelets Mark Miller* and Nick Kingsbury, Cambridge University; Richard Hobbs, Durham University Summary The use of multi-scale decompositions has lead to advances in representation

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      Source URL: www-sigproc.eng.cam.ac.uk

      Language: English - Date: 2013-08-05 16:15:02
        5FILTRANE, a Fortran 95 Filter-Trust-Region Package for Solving Nonlinear Least-Squares and Nonlinear Feasibility Problems NICHOLAS I. M. GOULD Rutherford Appleton Laboratory and

        FILTRANE, a Fortran 95 Filter-Trust-Region Package for Solving Nonlinear Least-Squares and Nonlinear Feasibility Problems NICHOLAS I. M. GOULD Rutherford Appleton Laboratory and

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        Source URL: www.numerical.rl.ac.uk

        Language: English - Date: 2013-12-02 06:48:04
          6A least-squares approach to anomaly detection in static and sequential data John A. Quinna , Masashi Sugiyamab a Department b Department  of Computer Science, Makerere University, PO Box 7062, Kampala, Uganda

          A least-squares approach to anomaly detection in static and sequential data John A. Quinna , Masashi Sugiyamab a Department b Department of Computer Science, Makerere University, PO Box 7062, Kampala, Uganda

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          Source URL: cit.mak.ac.ug

          Language: English - Date: 2018-08-07 07:34:11
            7EE263 AutumnS. Boyd and S. Lall Example: Least-squares filtering

            EE263 AutumnS. Boyd and S. Lall Example: Least-squares filtering

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            Source URL: ee263.stanford.edu

            Language: English - Date: 2015-10-12 19:32:56
              8Least Squares Mohammad Emtiyaz Khan EPFL Sep 24, 2015  ©Mohammad Emtiyaz Khan 2015

              Least Squares Mohammad Emtiyaz Khan EPFL Sep 24, 2015 ©Mohammad Emtiyaz Khan 2015

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              Source URL: emtiyaz.github.io

              Language: English - Date: 2018-08-03 01:10:17
                9An Arrow-Hurwicz-Uzawa Type Flow as Least Squares Solver for Network Linear Equations Yang Liu, Christian Lageman, Brian D. O. Anderson, and Guodong Shi∗ arXiv:1701.03908v1 [cs.SY] 14 Jan 2017

                An Arrow-Hurwicz-Uzawa Type Flow as Least Squares Solver for Network Linear Equations Yang Liu, Christian Lageman, Brian D. O. Anderson, and Guodong Shi∗ arXiv:1701.03908v1 [cs.SY] 14 Jan 2017

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                Source URL: arxiv.org

                Language: English - Date: 2017-01-16 22:02:18
                  10Wave-Function Optimization by Least-Squares Fitting of the Exact Wave Function Sampled by Quantum Monte Carlo R. BIANCHI, D. BRESSANINI, P. CREMASCHI, M. MELLA, AND G . MOROSI

                  Wave-Function Optimization by Least-Squares Fitting of the Exact Wave Function Sampled by Quantum Monte Carlo R. BIANCHI, D. BRESSANINI, P. CREMASCHI, M. MELLA, AND G . MOROSI

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                  Source URL: scienze-como.uninsubria.it

                  Language: English - Date: 2006-10-30 03:34:43