Discrete Iterations - Info and Reading Options
A Metric Study
By François Robert


"Discrete Iterations" was published by Springer-Verlag in 1986 - Berlin, the book is classified in Mathematics genre, it has 195 pages and the language of the book is English.
“Discrete Iterations” Metadata:
- Title: Discrete Iterations
- Author: François Robert
- Languages: English - fre
- Number of Pages: 195
- Is Family Friendly: Yes - No Mature Content
- Publisher: Springer-Verlag
- Publish Date: 1986
- Publish Location: Berlin
- Genres: Mathematics
“Discrete Iterations” Subjects and Themes:
- Subjects: ➤ Iterative methods (Mathematics) - Itération (Mathématiques) - Diskrete Iteration - Iteration - Numerische Mathematik - Iteráció-elmélet - Matematika - Lineáris algebra
Edition Specifications:
- Pagination: xvi, 195 p. :
Edition Identifiers:
- Google Books ID: nirvAAAAMAAJ
- The Open Library ID: OL2546085M - OL3385274W
- Online Computer Library Center (OCLC) ID: 12972830
- Library of Congress Control Number (LCCN): 85027949
- ISBN-13: 9780387136233 - 9783540136231
- ISBN-10: 0387136231
- All ISBNs: 0387136231 - 9780387136233 - 9783540136231
AI-generated Review of “Discrete Iterations”:
Snippets and Summary:
A c 9 h In presenting this monograph, I would like to indicate both its orientation as well as my personal reasons for being interested in discrete iterations (that is, iterations on a generally very large,jinite set).
"Discrete Iterations" Description:
Google Books:
A c 9 h In presenting this monograph, I would like to indicate both its orientation as well as my personal reasons for being interested in discrete iterations (that is, iterations on a generally very large,jinite set). While working in numerical analysis I have been interested in two main aspects: - the algorithmic aspect: an iterative algorithm is a mathematical entity which behaves in a dynamic fashion. Even if it is started far from a solution, it will often tend to get closer and closer. - the mathematical aspect: this consists of a coherent and rigorous analy sis of convergence, with the aid of mathematical tools (these tools are mainly the use of norms for convergence proofs, the use of matrix algebra and so on). One may for example refer to the algorithmic and mathematical aspects of Newton's method in JRn as well as to the QR algorithm for eigenvalues of matrices. These two algorithms seem to me to be the most fascinating algorithms in numerical analysis, since both show a remarkable practical efficiency even though there exist relatively few global convergence results for them.
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