Sprache: Englisch
Verlag: Cambridge University Press, 1995
ISBN 10: 0521558905 ISBN 13: 9780521558907
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 63,91
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Sprache: Englisch
Verlag: Cambridge University Press, 1995
ISBN 10: 0521558905 ISBN 13: 9780521558907
Anbieter: Kennys Bookstore, Olney, MD, USA
Zustand: New. A self-contained mathematical introduction that concentrates on the essential results important to non-specialists. Num Pages: 160 pages, 11 tables. BIC Classification: PBKF. Category: (P) Professional & Vocational. Dimension: 232 x 156 x 9. Weight in Grams: 254. . 2010. Revised ed. paperback. . . . . Books ship from the US and Ireland.
Sprache: Englisch
Verlag: Cambridge University Press, 2007
ISBN 10: 0521558905 ISBN 13: 9780521558907
Anbieter: Buchpark, Trebbin, Deutschland
Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | A self-contained mathematical introduction that concentrates on the essential results important to non-specialists.
Sprache: Englisch
Verlag: Cambridge University Press, 1995
ISBN 10: 0521558905 ISBN 13: 9780521558907
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is a self-contained introduction to the theory of distributions, sometimes called generalized functions. Most books on this subject are either intuitive or else rigorous but technically demanding. Here, by concentrating on the essential results, the authors have introduced the subject in a way that will most appeal to non-specialists, yet is still mathematically correct. Topics covered include: the Dirac delta function, generalized functions, dipoles, quadrupoles, pseudofunctions and Fourier transforms. The self-contained treatment does not require any knowledge of functional analysis or topological vector spaces; even measure theory is not needed for most of the book. The book, which can be used either to accompany a course or for self-study, is liberally supplied with exercises. It will be a valuable introduction to the theory of distributions and their applications for students or professionals in statistics, physics, engineering and economics.