Isbn: 9780521810401 - geometric differentiation: for the intelligence of curves and surfaces (16 risultati)

Condizione: New.

Condizione: New. This is a revised version of the popular Geometric Differentiation, first edition. Num Pages: 350 pages, 39 b/w illus. 26 colour illus. BIC Classification: PBM; PBP. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 158 x 232 x 18. Weight in Grams: 696. . 2001. 2nd Edition. hardcover. . . . .…

Condizione: New. In English.

Hardback. Condizione: New. This is a revised and extended version of the popular first edition. Inspired by the work of Thom and Arnol'd on singularity theory, such topics as umbilics, ridges and subparabolic lines, all robust features of a smooth surface, which are rarely treated in elementary courses on differential geometry, are considered here in detail. These features are of immediate relevance in modern areas of application such as interpretation of range data from curved surfaces and the processing of magnetic resonance and cat-scan images. The text is based on extensive teaching at Liverpool University to audiences of advanced undergraduate and beginning postgraduate students in mathematics. However, the wide applicability of this material means that it will also appeal to scientists and engineers from a variety of other disciplines. The author has included many exercises and examples to illustrate the results proved.…

Hardcover. Condizione: Brand New. 2nd edition. 350 pages. 9.00x6.25x0.75 inches. In Stock.

Gebunden. Condizione: New. &Uumlber den Autorfm.author_biographical_note1Inhaltsverzeichnis1. Plane curves 2. Some elementary geometry 3. Plane kinetics 4. The derivatives of a map 5. Curves on the unit sphere 6. Space curves 7. .

Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This is a revised and extended version of the popular first edition. Inspired by the work of Thom and Arnol'd on singularity theory, such topics as umbilics, ridges and subparabolic lines, all robust features of a smooth surface, which are rarely treated in elementary courses on differential geometry, are considered here in detail. These features are of immediate relevance in modern areas of application such as interpretation of range data from curved surfaces and the processing of magnetic resonance and cat-scan images. The text is based on extensive teaching at Liverpool University to audiences of advanced undergraduate and beginning postgraduate students in mathematics. However, the wide applicability of this material means that it will also appeal to scientists and engineers from a variety of other disciplines. The author has included many exercises and examples to illustrate the results proved.…

Condizione: New. This is a revised version of the popular Geometric Differentiation, first edition. Num Pages: 350 pages, 39 b/w illus. 26 colour illus. BIC Classification: PBM; PBP. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 158 x 232 x 18. Weight in Grams: 696. . 2001. 2nd Edition. hardcover. . . . . Books ship from the US and Ireland.…

Condizione: New. pp. 350 2nd Edition.

Hardcover. Condizione: Brand New. 2nd edition. 350 pages. 9.00x6.25x0.75 inches. In Stock.

Hardback. Condizione: New. This is a revised and extended version of the popular first edition. Inspired by the work of Thom and Arnol'd on singularity theory, such topics as umbilics, ridges and subparabolic lines, all robust features of a smooth surface, which are rarely treated in elementary courses on differential geometry, are considered here in detail. These features are of immediate relevance in modern areas of application such as interpretation of range data from curved surfaces and the processing of magnetic resonance and cat-scan images. The text is based on extensive teaching at Liverpool University to audiences of advanced undergraduate and beginning postgraduate students in mathematics. However, the wide applicability of this material means that it will also appeal to scientists and engineers from a variety of other disciplines. The author has included many exercises and examples to illustrate the results proved.…

Hardcover. Condizione: new. Hardcover. This is a revised and extended version of the popular first edition. Inspired by the work of Thom and Arnol'd on singularity theory, such topics as umbilics, ridges and subparabolic lines, all robust features of a smooth surface, which are rarely treated in elementary courses on differential geometry, are considered here in detail. These features are of immediate relevance in modern areas of application such as interpretation of range data from curved surfaces and the processing of magnetic resonance and cat-scan images. The text is based on extensive teaching at Liverpool University to audiences of advanced undergraduate and beginning postgraduate students in mathematics. However, the wide applicability of this material means that it will also appeal to scientists and engineers from a variety of other disciplines. The author has included many exercises and examples to illustrate the results proved. This is a revised and up-dated version of the popular first edition. The topics covered here are of immediate relevance to many modern applications. As such this text will appeal to scientists and engineers from a variety of other disciplines. There are many exercises and examples illustrating the results proved. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Hardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Condizione: New. Print on Demand pp. 350 39 Illus. (26 Col.).

Condizione: New. PRINT ON DEMAND pp. 350.

Buch. Condizione: Neu. Geometric Differentiation | I. R. Porteous | Buch | Gebunden | Englisch | 2015 | Cambridge University Press | EAN 9780521810401 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.