Kód: 02060571
This revised edition discusses numerical methods for computing the eigenvalues and eigenvectors of large sparse matrices. It provides an in-depth view of the numerical methods that are applicable for solving matrix eigenvalue prob ... celý popis
Angličtina
Nákupem získáte 214 bodů
Anotace knihy
This revised edition discusses numerical methods for computing the eigenvalues and eigenvectors of large sparse matrices. It provides an in-depth view of the numerical methods that are applicable for solving matrix eigenvalue problems that arise in various engineering and scientific applications. Each chapter was updated by shortening or deleting outdated topics, adding topics of more recent interest and adapting the Notes and References section. Significant changes have been made to Chapters 6 through 8, which describe algorithms and their implementations and now include topics such as the implicit restart techniques, the Jacobi–Davidson method and automatic multilevel substructuring.
Parametry knihy
Zařazení knihy Knihy v angličtině Mathematics & science Mathematics Algebra
2138 Kč
Angličtina
Osobní odběr Praha, Brno a 48004 dalších
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