Lagrangian

Results: 724



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1B-476 Lagrangian-Conic Relaxations, Part II: Applications to Polyno- mial Optimization Problems Naohiko Arima? , Sunyoung Kim† , Masakazu Kojima‡ , and Kim-Chuan Toh] January 2014 Abstract. We present the moment con

B-476 Lagrangian-Conic Relaxations, Part II: Applications to Polyno- mial Optimization Problems Naohiko Arima? , Sunyoung Kim† , Masakazu Kojima‡ , and Kim-Chuan Toh] January 2014 Abstract. We present the moment con

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Source URL: www.optimization-online.org

Language: English - Date: 2014-01-09 02:14:32
    2The Information-Autoencoding Family: A Lagrangian Perspective on Latent Variable Generative Modeling Shengjia Zhao Stanford University

    The Information-Autoencoding Family: A Lagrangian Perspective on Latent Variable Generative Modeling Shengjia Zhao Stanford University

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    Source URL: bayesiandeeplearning.org

    Language: English - Date: 2017-12-05 15:02:31
      3A Newton-CG Augmented Lagrangian Method for Semidefinite Programming∗ Xin-Yuan Zhao †

      A Newton-CG Augmented Lagrangian Method for Semidefinite Programming∗ Xin-Yuan Zhao †

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      Source URL: www.math.nus.edu.sg

      Language: English - Date: 2009-02-03 01:05:22
        4Uniqueness of Invariant Lagrangian Graphs in a Homology or a Cohomology Class. Albert Fathi, Alessandro Giuliani and Alfonso Sorrentino March 6, 2009 Given a smooth compact Riemannian manifold M and a Hamiltonian H on th

        Uniqueness of Invariant Lagrangian Graphs in a Homology or a Cohomology Class. Albert Fathi, Alessandro Giuliani and Alfonso Sorrentino March 6, 2009 Given a smooth compact Riemannian manifold M and a Hamiltonian H on th

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        Source URL: www.mat.uniroma2.it

        Language: English - Date: 2015-09-01 05:49:41
          5力学 II 演義（スタンダード） No 年 7 月 14 日提出分) 小テスト（相空間上の軌跡）一質点の運動を記述する Lagrangian が，q を一般化座標として ˙ = L(q, q)

          力学 II 演義（スタンダード） No 年 7 月 14 日提出分) 小テスト（相空間上の軌跡）一質点の運動を記述する Lagrangian が，q を一般化座標として ˙ = L(q, q)

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          Source URL: wwwacty.phys.sci.osaka-u.ac.jp

          Language: Japanese - Date: 2015-07-15 22:00:16
            6Schedule March 13, Monday 12:30-13:00: Registration 13:00-13:10 Opening Remark 13:10-13:50 Keynote Presentation Lagrangian tracking using the high-resolution OFES model

            Schedule March 13, Monday 12:30-13:00: Registration 13:00-13:10 Opening Remark 13:10-13:50 Keynote Presentation Lagrangian tracking using the high-resolution OFES model

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            Source URL: www.jamstec.go.jp

            Language: English - Date: 2017-02-22 01:45:00
              7MATHEMATICS OF COMPUTATION Volume 66, Number 217, January 1997, Pages 261–288 SA GLOBALLY CONVERGENT LAGRANGIAN BARRIER ALGORITHM FOR OPTIMIZATION WITH GENERAL

              MATHEMATICS OF COMPUTATION Volume 66, Number 217, January 1997, Pages 261–288 SA GLOBALLY CONVERGENT LAGRANGIAN BARRIER ALGORITHM FOR OPTIMIZATION WITH GENERAL

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

              Language: English - Date: 2013-12-02 06:48:03
                8Augmented Lagrangian Preconditioner for Linear Stability Analysis of incompressible fluid flows on large configurations J.Moulin1, J-L. Pfister1, O.Marquet1, P. Jolivet2 1 Office National d’Etudes et de Recherches Aér

                Augmented Lagrangian Preconditioner for Linear Stability Analysis of incompressible fluid flows on large configurations J.Moulin1, J-L. Pfister1, O.Marquet1, P. Jolivet2 1 Office National d’Etudes et de Recherches Aér

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                Source URL: www.ljll.math.upmc.fr

                Language: English - Date: 2017-12-14 07:58:06
                  9Augmented Lagrangian preconditioner for Linear Stability Analysis of the incompressible Navier-Stokes equation Johann Moulin, Jean-Lou Pfister, Olivier Marquet and Pierre Jolivet Linear Stability Analysis is a widely use

                  Augmented Lagrangian preconditioner for Linear Stability Analysis of the incompressible Navier-Stokes equation Johann Moulin, Jean-Lou Pfister, Olivier Marquet and Pierre Jolivet Linear Stability Analysis is a widely use

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                  Source URL: www.ljll.math.upmc.fr

                  Language: English - Date: 2017-12-13 09:26:55
                    10A Lagrangian-DNN Relaxation: a Fast Method for Computing Tight Lower Bounds for a Class of Quadratic Optimization Problems Sunyoung Kim? , Masakazu Kojima† and Kim-Chuan Toh‡ October 2013 Abstract. We propose an effi

                    A Lagrangian-DNN Relaxation: a Fast Method for Computing Tight Lower Bounds for a Class of Quadratic Optimization Problems Sunyoung Kim? , Masakazu Kojima† and Kim-Chuan Toh‡ October 2013 Abstract. We propose an effi

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                    Source URL: www.math.nus.edu.sg

                    Language: English - Date: 2015-02-07 02:01:57