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Siam Numerical Computing with MATLAB Cleve Moler.pdf
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[计算机软件及应用]Cleve Moler - MATLAB数值计算第十章-eigenvalues and singular values.pdf
[计算机软件及应用]Cleve Moler - MATLAB数值计算第十章-eigenvalues and singular values

chapter 10

eigenvalues and singular values

this chapter is about eigenvalues and singular values of matricesmputational algorithms and sensitivity to perturbations are both discussed.

10.1

eigenvalue and singular value decompositions

an eigenvalue and eigenvector of a square matrix a are a scalar λ and a nonzero vector x so that ax = λx. a singular value and pair of singular vectors of a square or rectangular matrix a are a nonnegative scalar σ and two nonzero vectors u and v so that av = σu, ah u = σv. the superscript on ah stands for hermitian transpose and denotes the complex conjugate transpose of a complex matrix. if the matrix is real, then at denotes the same matrix. in matlab, these transposed matrices are denoted by a’. the term “eigenvalue” is a partial translation of the german “eigenvert.” a complete translation would be something like “own va
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