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3.9 MB
Info Hash:
07E6A7CE78894004F8526CB1CCA1FB50144C2818
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April 20, 2026, 4:31 a.m.
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(Last updated: April 20, 2026, 4:31 a.m.)
| File | Size |
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| ['Liu X. Guaranteed Computational Methods for Self-Adjoint Diff Eigenvalue...2024.pdf'] | 0 bytes |
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13.1 MB
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2024-07-13
| Uploaded by indexFroggy | Size 13.1 MB | Health [ 26 /0 ] | Added 2024-07-13 |
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SOURCE: Liu X. Guaranteed Computational Methods for Self-Adjoint Diff Eigenvalue...2024
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MEDIAINFO
Textbook in PDF format This monograph presents a study of newly developed guaranteed computational methodologies for eigenvalue problems of self-adjoint differential operators. It focuses on deriving explicit lower and upper bounds for eigenvalues, as well as explicit estimations for eigenfunction approximations. Such explicit error estimations rely on the finite element method (FEM) along with a new theory of explicit quantitative error estimation, diverging from traditional studies that primarily focus on qualitative results
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