Computational methods for matrix Eigenproblems
A. R. Gourlay
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Computational methods for matrix Eigenproblems
Published
1973
Publisher
Wiley
Pages
132
Subjects
Investigation, development, and application of optimal output feedback theory
Computational methods for matrix eigenproblems
Ein universelles Verfahren zur Lösung der vollständigen Eigenwertaufgabe
A spectral algorithm for envelope reduction of sparse matrices
A parallel divide and conquer algorithm for the generalized real symmetric definite tridiagonal eigenproblem
Solution ofthe symmetric Eigenproblem AX=(Lambda)BX by delayed division
Frequently Asked Questions
How many pages are in Computational methods for matrix Eigenproblems?
This edition of Computational methods for matrix Eigenproblems has approximately 132 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.
How long does it take to read Computational methods for matrix Eigenproblems?
For most readers, Computational methods for matrix Eigenproblems typically takes between 2h 45m and 1h 50m to complete. This is based on the book's length of approximately 33,000 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 2h 12m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 5 days • Estimated word count: 33,000 words
Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.
What is the word count of Computational methods for matrix Eigenproblems?
The estimated word count for Computational methods for matrix Eigenproblems is approximately 33,000 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.
This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.
Who is the author of Computational methods for matrix Eigenproblems?
Computational methods for matrix Eigenproblems was written by A. R. Gourlay.
When was Computational methods for matrix Eigenproblems published?
The publication date for this specific edition is 1973. The original work may have been published on a different date.