Lagrangian

Results: 724



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21An Augmented Lagrangian Approach to Constrained MAP Inference Andr´ e F. T. Martins†‡ M´

An Augmented Lagrangian Approach to Constrained MAP Inference Andr´ e F. T. Martins†‡ M´

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Source URL: users.isr.ist.utl.pt

- Date: 2011-05-04 04:19:26
    22Lagrangian Points E. Schrama, e-mail: April 12, 2006 1

    Lagrangian Points E. Schrama, e-mail: April 12, 2006 1

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    Source URL: www.deos.tudelft.nl

    - Date: 2006-04-13 12:15:54
      23The symplectic normal space of a Lagrangian fibration Daniel Rodr´ıguez1 ´ ´ 2 Miguel Teixido-Rom

      The symplectic normal space of a Lagrangian fibration Daniel Rodr´ıguez1 ´ ´ 2 Miguel Teixido-Rom

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      Source URL: gigda.ugr.es

      - Date: 2014-09-29 11:57:10
        24The symplectic normal space of a Lagrangian fibration 1 2 D. Rodr´ıguez & M. Teixido´ -Roma´ n

        The symplectic normal space of a Lagrangian fibration 1 2 D. Rodr´ıguez & M. Teixido´ -Roma´ n

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        Source URL: gigda.ugr.es

        - Date: 2014-09-30 12:09:50
          25A Spring in Imaginary Time QG Homework 2 Fall 2006 Alex Hoffnung October 18, 2006 One of the stranger aspects of Lagrangian dynamics is how it turns into statics when we replace the time coordinate t by it - or in the ja

          A Spring in Imaginary Time QG Homework 2 Fall 2006 Alex Hoffnung October 18, 2006 One of the stranger aspects of Lagrangian dynamics is how it turns into statics when we replace the time coordinate t by it - or in the ja

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          Source URL: math.ucr.edu

          - Date: 2006-10-22 23:31:21
            26Simulating Subglacial Sediment Transport using a Semi–Lagrangian Method H Y

            Simulating Subglacial Sediment Transport using a Semi–Lagrangian Method H Y

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            Source URL: www.geos.ed.ac.uk

            Language: English - Date: 2005-01-31 06:26:44
            27Distributed ADMM for Model Predictive Control and Congestion Control João F. C. Mota1,2 , João M. F. Xavier2 , Pedro M. Q. Aguiar2 , and Markus Püschel3 Abstract— Many problems in control can be modeled as an optimi

            Distributed ADMM for Model Predictive Control and Congestion Control João F. C. Mota1,2 , João M. F. Xavier2 , Pedro M. Q. Aguiar2 , and Markus Püschel3 Abstract— Many problems in control can be modeled as an optimi

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            Source URL: users.isr.ist.utl.pt

            Language: English - Date: 2012-09-06 05:05:42
            28Distributed ADMM for Model Predictive Control and Congestion Control João F. C. Mota1,2 , João M. F. Xavier2 , Pedro M. Q. Aguiar2 , and Markus Püschel3 Abstract— Many problems in control can be modeled as an optimi

            Distributed ADMM for Model Predictive Control and Congestion Control João F. C. Mota1,2 , João M. F. Xavier2 , Pedro M. Q. Aguiar2 , and Markus Püschel3 Abstract— Many problems in control can be modeled as an optimi

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            Source URL: www.ee.ucl.ac.uk

            Language: English - Date: 2013-07-05 07:45:59
            29A semi-Lagrangian AMR scheme for 2D transport problems in conservation form Pep Mulet, Francesco Vecil abstract In this paper, we construct a semi-Lagrangian (SL) Adaptive-Mesh-Refinement (AMR) solver

            A semi-Lagrangian AMR scheme for 2D transport problems in conservation form Pep Mulet, Francesco Vecil abstract In this paper, we construct a semi-Lagrangian (SL) Adaptive-Mesh-Refinement (AMR) solver

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            Source URL: francescovecil.it

            Language: English - Date: 2015-04-03 05:38:20
            30Dynamics of Sensor vs. Target Ling Bian Department of Geography, University at Buffalo May 20, 2016 Representation of Spatial Dynamics

            Dynamics of Sensor vs. Target Ling Bian Department of Geography, University at Buffalo May 20, 2016 Representation of Spatial Dynamics

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            Source URL: ncgia.buffalo.edu

            Language: English - Date: 2016-05-28 14:57:17