Norms, Adjoints, and Singular Value Decomposition

George W. Hart
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George W. Hart: Columbia University, Department of Electrical Engineering

Chapter 4 in Multidimensional Analysis, 1995, pp 119-144 from Springer

Abstract: Abstract Norms for measuring vectors and matrices, adjoints, and the singular value decomposition (SVD) are all areas where traditional methods are basis-dependent and/or dimensionally inhomogeneous. The methods presented in this chapter correct these problems.

Keywords: Singular Value Decomposition; Null Space; Symmetric Matrice; Image Space; Singular Vector (search for similar items in EconPapers)
Date: 1995
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DOI: 10.1007/978-1-4612-4208-6_5

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