The Theory of Best Approximation and Functional Analysis (CBMS-NSF Regional Conference Series in Applied Mathematics) (CBMS-NSF Regional Conference Series in Applied Mathematics) - Info and Reading Options
By Ivan Singer
"The Theory of Best Approximation and Functional Analysis (CBMS-NSF Regional Conference Series in Applied Mathematics) (CBMS-NSF Regional Conference Series in Applied Mathematics)" was published by Society for Industrial Mathematics in January 1, 1987 - Philadelphia, Pa, it has 103 pages and the language of the book is English.
“The Theory of Best Approximation and Functional Analysis (CBMS-NSF Regional Conference Series in Applied Mathematics) (CBMS-NSF Regional Conference Series in Applied Mathematics)” Metadata:
- Title: ➤ The Theory of Best Approximation and Functional Analysis (CBMS-NSF Regional Conference Series in Applied Mathematics) (CBMS-NSF Regional Conference Series in Applied Mathematics)
- Author: Ivan Singer
- Language: English
- Number of Pages: 103
- Publisher: ➤ Society for Industrial Mathematics
- Publish Date: January 1, 1987
- Publish Location: Philadelphia, Pa
“The Theory of Best Approximation and Functional Analysis (CBMS-NSF Regional Conference Series in Applied Mathematics) (CBMS-NSF Regional Conference Series in Applied Mathematics)” Subjects and Themes:
- Subjects: Functional analysis - Approximate computation
Edition Specifications:
- Format: Paperback
- Weight: 4.8 ounces
- Dimensions: 9.6 x 6.6 x 0.3 inches
Edition Identifiers:
- The Open Library ID: OL8271681M - OL3290809W
- Online Computer Library Center (OCLC) ID: 76941730
- ISBN-13: 9780898710106 - 9781611970548
- ISBN-10: 0898710103
- All ISBNs: 0898710103 - 9780898710106 - 9781611970548
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"The Theory of Best Approximation and Functional Analysis (CBMS-NSF Regional Conference Series in Applied Mathematics) (CBMS-NSF Regional Conference Series in Applied Mathematics)" Description:
Open Data:
Results and problems in the modern theory of best approximation, in which the methods of functional analysis are applied in a consequent manner. This modern theory constitutes both a unified foundation for the classical theory of best approximation and a powerful tool for obtaining new results
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