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picture1_Matrix Pdf 172958 | Lecture 0  Course Info


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File: Matrix Pdf 172958 | Lecture 0 Course Info
engg5781 matrix analysis and computations lecture 0 overview wing kin ken ma 2022 23 first term department of electronic engineering the chinese university of hong kong course information w k ...

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      ENGG5781 Matrix Analysis and Computations
              Lecture 0: Overview
                 Wing-Kin (Ken) Ma
                 2022-23 First Term
             Department of Electronic Engineering
             The Chinese University of Hong Kong
                                          Course Information
           W.-K. Ma, ENGG5781 Matrix Analysis and Computations, CUHK, 2022-23 First Term.                                                   1
                                   General Information
       • Instructor: Wing-Kin Ma
          – office: SHB 323
          – e-mail: wkma@ee.cuhk.edu.hk
       • Lecture hours and venue:
          – Monday 1:30pm–2:15pm, T. Y. Wong Hall LT
          – Tuesday 4:30pm–6:15pm, Mong Man Wai Building LT1
       • Course website: http://www.ee.cuhk.edu.hk/ wkma/engg5781
                                                         ~
          – course notes
       • Blackboard: https://blackboard.cuhk.edu.hk/
          – assignments, assignment submissions, scores
       W.-K. Ma, ENGG5781 Matrix Analysis and Computations, CUHK, 2022-23 First Term.  2
                                     Course Contents
       • This is a foundation course on matrix analysis and computations, which are widely
          used in many different fields, e.g.,
            machine learning, artificial intelligence, computer vision, informal retrieval,
            systems and control, signal and image processing, communications, networks,
            optimization, data science, and many more...
       • Aim: covers matrix analysis and computations at an advanced or research level.
       • Scope:
          – basic matrix concepts, subspace, norms,
          – linear least squares, pseudo-inverse,
          – eigen and singular value decompositions, positive semidefinite matrices,
          – linear system of equations, LU decomposition, Cholesky decomposition,
          – QR decomposition,
          – advanced topics such as tensor decomposition, advanced matrix calculus, sparse
            recovery, non-negative matrix factorization
       W.-K. Ma, ENGG5781 Matrix Analysis and Computations, CUHK, 2022-23 First Term.  3
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...Engg matrix analysis and computations lecture overview wing kin ken ma first term department of electronic engineering the chinese university hong kong course information w k cuhk general instructor oce shb e mail wkma ee edu hk hours venue monday pm t y wong hall lt tuesday mong man wai building website http www notes blackboard https assignments assignment submissions scores contents this is a foundation on which are widely used in many dierent elds g machine learning articial intelligence computer vision informal retrieval systems control signal image processing communications networks optimization data science more aim covers at an advanced or research level scope basic concepts subspace norms linear least squares pseudo inverse eigen singular value decompositions positive semidenite matrices system equations lu decomposition cholesky qr topics such as tensor calculus sparse recovery non negative factorization...

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