Ordinary differential equation

Results: 1074



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1Efficient Bayesian estimation and uncertainty quantification in ordinary differential equation models

Efficient Bayesian estimation and uncertainty quantification in ordinary differential equation models

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Source URL: arxiv.org

- Date: 2016-02-22 20:42:34
    2Bayesian inference for higher order ordinary differential  arXiv:1505.04242v1 [math.ST] 16 May 2015 equation models Prithwish Bhaumik and Subhashis Ghosal

    Bayesian inference for higher order ordinary differential arXiv:1505.04242v1 [math.ST] 16 May 2015 equation models Prithwish Bhaumik and Subhashis Ghosal

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    Source URL: arxiv.org

    - Date: 2015-05-18 20:46:46
      3RESEARCH ON ORDINARY DIFFERENTIAL EQUATION AND FRACTIONAL DIFFERENTIAL EQUATION QU HAIDONG and LIU XUAN Department of Mathematics and Statistics

      RESEARCH ON ORDINARY DIFFERENTIAL EQUATION AND FRACTIONAL DIFFERENTIAL EQUATION QU HAIDONG and LIU XUAN Department of Mathematics and Statistics

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      Source URL: www.m-hikari.com

      Language: English - Date: 2014-07-05 09:35:42
      4Noname manuscript No. (will be inserted by the editor) A Linearly Fourth Order Multirate Runge-Kutta Method with Error Control Pak-Wing Fok

      Noname manuscript No. (will be inserted by the editor) A Linearly Fourth Order Multirate Runge-Kutta Method with Error Control Pak-Wing Fok

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      Source URL: udel.edu

      Language: English - Date: 2015-03-08 19:12:29
      5COMPUTING COMPLEX SINGULARITIES OF DIFFERENTIAL EQUATIONS WITH CHEBFUN AUTHOR: MARCUS WEBB∗ AND ADVISOR: LLOYD N. TREFETHEN† Abstract. Given a solution to an ordinary differential equation (ODE) on a time interval, t

      COMPUTING COMPLEX SINGULARITIES OF DIFFERENTIAL EQUATIONS WITH CHEBFUN AUTHOR: MARCUS WEBB∗ AND ADVISOR: LLOYD N. TREFETHEN† Abstract. Given a solution to an ordinary differential equation (ODE) on a time interval, t

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      Source URL: www.damtp.cam.ac.uk

      Language: English - Date: 2013-06-18 09:12:37
      6Special Sessions Special Session 1: Qualitative Studies of PDEs: Entire Solutions and Asymptotic Behavior Peter Polacik, University of Minnesota, USA Eiji Yanagida, Tokyo Institute of Technology, Japan The aim of this se

      Special Sessions Special Session 1: Qualitative Studies of PDEs: Entire Solutions and Asymptotic Behavior Peter Polacik, University of Minnesota, USA Eiji Yanagida, Tokyo Institute of Technology, Japan The aim of this se

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      Source URL: www.aimsciences.org

      Language: English
      7ES 111 Mathematical Methods in the Earth Sciences Lecture Outline 16 - Tues 17th Nov 2015 Constant Coefficient HLDE’s The general form of an n-th order, homogeneous linear ODE is an (x)y (n) + an−1 (x)y (n−1) + ·

      ES 111 Mathematical Methods in the Earth Sciences Lecture Outline 16 - Tues 17th Nov 2015 Constant Coefficient HLDE’s The general form of an n-th order, homogeneous linear ODE is an (x)y (n) + an−1 (x)y (n−1) + ·

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      Source URL: www.es.ucsc.edu

      Language: English - Date: 2015-11-16 14:32:21
      8Preface This book grew out of the collaboration of the authors, which began in the Spring of 2010, and the first author’s PhD dissertation. The second author developed much of the theory in Part II during his Junior Re

      Preface This book grew out of the collaboration of the authors, which began in the Spring of 2010, and the first author’s PhD dissertation. The second author developed much of the theory in Part II during his Junior Re

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      Source URL: www.siam.org

      Language: English - Date: 2015-12-22 12:23:42
      9ES 111 Mathematical Methods in the Earth Sciences Lecture Outline 14 - Thurs 20th Nov 2014 Introduction to Differential Equations Differential equations (DE’s) are equations that contain derivatives of an unknown funct

      ES 111 Mathematical Methods in the Earth Sciences Lecture Outline 14 - Thurs 20th Nov 2014 Introduction to Differential Equations Differential equations (DE’s) are equations that contain derivatives of an unknown funct

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      Source URL: www.es.ucsc.edu

      Language: English - Date: 2014-11-19 18:16:38
      10MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Continuation model predictive control on smooth manifolds Knyazev, A.; Malyshev, A. TR2015-118

      MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Continuation model predictive control on smooth manifolds Knyazev, A.; Malyshev, A. TR2015-118

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      Source URL: www.merl.com

      Language: English - Date: 2016-03-15 12:22:02