Titlebook: Scientific Computing; Vol. II - Eigenvalue John A. Trangenstein Textbook 2017 Springer International Publishing AG, part of Springer Nature

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Eigenvalues and Eigenvectors,onditions numbers lead to . estimates for general eigenvalue problems. Numerical methods for upper Hessenberg matricces are discussed, followed by general techniques for orthogonal similarity transformation to upper Hessenberg form. Then the chapter turns to the singular value decomposition, with th

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Nonlinear Systems,s efficient numerical techniques for solving systems of nonlinear equations or finding minima of nonlinear functionals. Iterative methods for solving systems of linear equations can be generalized to nonlinear systems through Krylov subspace methods. This chapter also discusses direct search methods

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1611-0994 for either upper level undergraduates or first year graduate students. Parts of the text could be used for specialized courses, such as nonlinear optimization or iterative linear algebra..978-3-030-09871-1978-3-319-69107-7Series ISSN 1611-0994 Series E-ISSN 2197-179X

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en Jahrhunderts diese Ressource aktiv in ihr Management einzubeziehen. In diesem Zusammenhang wird von Wissensmanagement gesprochen. Allerdings hat sich in den letzten Jahren gezeigt, dass eine Einführung von entsprechender Software und die Schaffung von technologischen Netzwerken nicht ausreichend

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Scientific Computing978-3-319-69107-7Series ISSN 1611-0994 Series E-ISSN 2197-179X

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