Linear operators

Results: 171



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1SIMULTANEOUS COMMUTATIVITY OF OPERATORS KEITH CONRAD Throughout this note, we work with linear operators on complex vector spaces, of finite dimension. Any such operator has an eigenvector, by the fundamental theorem of

SIMULTANEOUS COMMUTATIVITY OF OPERATORS KEITH CONRAD Throughout this note, we work with linear operators on complex vector spaces, of finite dimension. Any such operator has an eigenvector, by the fundamental theorem of

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Source URL: www.math.uconn.edu

Language: English - Date: 2003-08-25 19:15:19
    2NONLINEAR MAXIMUM PRINCIPLES FOR DISSIPATIVE LINEAR NONLOCAL OPERATORS AND APPLICATIONS PETER CONSTANTIN AND VLAD VICOL A BSTRACT. We obtain a family of nonlinear maximum principles for linear dissipative nonlocal operat

    NONLINEAR MAXIMUM PRINCIPLES FOR DISSIPATIVE LINEAR NONLOCAL OPERATORS AND APPLICATIONS PETER CONSTANTIN AND VLAD VICOL A BSTRACT. We obtain a family of nonlinear maximum principles for linear dissipative nonlocal operat

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    Source URL: web.math.princeton.edu

    Language: English - Date: 2012-09-03 20:25:27
      3Resolvent Positive Linear Operators Exhibit the Reduction Phenomenon Lee Altenberg  September 2, 2011

      Resolvent Positive Linear Operators Exhibit the Reduction Phenomenon Lee Altenberg September 2, 2011

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      Source URL: dynamics.org

      Language: English - Date: 2011-09-02 10:46:02
        4Identification of Sparse Linear Operators Reinhard Heckel and Helmut B¨olcskei Dept. of IT & EE, ETH Zurich, Switzerland September 2012; Revised AugustAbstract

        Identification of Sparse Linear Operators Reinhard Heckel and Helmut B¨olcskei Dept. of IT & EE, ETH Zurich, Switzerland September 2012; Revised AugustAbstract

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        Source URL: www.reinhardheckel.com

        - Date: 2018-02-26 15:06:20
          5Compressive Identification of Linear Operators Reinhard Heckel and Helmut B¨olcskei Department of Information Technology and Electrical Engineering, ETH Zurich E-mail: {heckel,boelcskei}@nari.ee.ethz.ch Abstract—We co

          Compressive Identification of Linear Operators Reinhard Heckel and Helmut B¨olcskei Department of Information Technology and Electrical Engineering, ETH Zurich E-mail: {heckel,boelcskei}@nari.ee.ethz.ch Abstract—We co

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          Source URL: www.reinhardheckel.com

          - Date: 2018-02-28 20:07:04
            6Convex Optimization with Abstract Linear Operators Steven Diamond and Stephen Boyd Dept. of Computer Science and Electrical Engineering, Stanford University {stevend2, boyd}@stanford.edu  Abstract

            Convex Optimization with Abstract Linear Operators Steven Diamond and Stephen Boyd Dept. of Computer Science and Electrical Engineering, Stanford University {stevend2, boyd}@stanford.edu Abstract

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            Source URL: www.cv-foundation.org

            - Date: 2015-10-24 15:04:31
              7LINEAR CHAOS? Nathan S. Feldman In this article we hope to convience the reader that the dynamics of linear operators can be fantastically complex and that linear dynamics exhibits the same beauty and complexity as non-l

              LINEAR CHAOS? Nathan S. Feldman In this article we hope to convience the reader that the dynamics of linear operators can be fantastically complex and that linear dynamics exhibits the same beauty and complexity as non-l

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              Source URL: home.wlu.edu

              - Date: 2001-11-07 09:35:36
                8We consider the problem of estimating the covariance of X from measurements of the form yi = Ai xi + εi (for i = 1, . . . , n) where xi are i.i.d. unobserved samples of X, Ai are given linear operators, and εi represen

                We consider the problem of estimating the covariance of X from measurements of the form yi = Ai xi + εi (for i = 1, . . . , n) where xi are i.i.d. unobserved samples of X, Ai are given linear operators, and εi represen

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                Source URL: mmds-data.org

                - Date: 2016-06-23 15:50:48
                  9Copyright ©2005 by the Society for Industrial and Applied Mathematics This electronic version is for personal use and may not be duplicated or distributed. Chapter 6 Operators and Flow Control 6.1. Relational and Logica

                  Copyright ©2005 by the Society for Industrial and Applied Mathematics This electronic version is for personal use and may not be duplicated or distributed. Chapter 6 Operators and Flow Control 6.1. Relational and Logica

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                  Source URL: www.siam.org

                  Language: English - Date: 2006-10-27 15:07:47
                  10A Spectral Alternative for Continuous Families of Self-Adjoint Operators Alexander Y. Gordon Department of Mathematics and Statistics University of North Carolina at Charlotte 9201 University City Blvd, Charlotte, NC 282

                  A Spectral Alternative for Continuous Families of Self-Adjoint Operators Alexander Y. Gordon Department of Mathematics and Statistics University of North Carolina at Charlotte 9201 University City Blvd, Charlotte, NC 282

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                  Source URL: clas-math.uncc.edu

                  Language: English - Date: 2016-03-08 15:17:05