Name: Factorization Calculus and Geometric Probability (Encyclopedia of Mathematics and its Applications) (en Inglés)
Price: 80320.00 CLP
Availability: InStock
Author: R. V. Ambartzumian
ISBN: 9780521089784

portada Factorization Calculus and Geometric Probability (Encyclopedia of Mathematics and its Applications) (en Inglés)

Formato

Libro Físico

Editorial

Cambridge University Press

Autor

R. V. Ambartzumian

Año

2008

Idioma

Inglés

N° páginas

300

Encuadernación

Tapa Blanda

ISBN

0521089786

ISBN13

9780521089784

N° edición

Categorías

Algebra

Factorization Calculus and Geometric Probability (Encyclopedia of Mathematics and its Applications) (en Inglés)

R. V. Ambartzumian (Autor) · Cambridge University Press · Tapa Blanda

Libro Nuevo

$ 80.320

$ 133.870

Ahorras: $ 53.550

40% descuento

Envío normal

Origen: Estados Unidos (Costos de importación incluídos en el precio)

Se enviará desde nuestra bodega entre el Jueves 30 de Mayo y el Martes 11 de Junio.

Lo recibirás en cualquier lugar de Chile entre 1 y 3 días hábiles luego del envío.

Reseña del libro "Factorization Calculus and Geometric Probability (Encyclopedia of Mathematics and its Applications) (en Inglés)"

This unique book develops the classical subjects of geometric probability and integral geometry, and the more modern one of stochastic geometry, in rather a novel way to provide a unifying framework in which they can be studied. The author focuses on factorisation properties of measures and probabilities implied by the assumption of their invariance with respect to a group, in order to investigate non-trivial factors. The study of these properties is the central theme of the book. Basic facts about integral geometry and random point process theory are developed in a simple geometric way, so that the whole approach is suitable for a non-specialist audience. Even in the later chapters, where the factorisation principles are applied to geometrical processes, the prerequisites are only standard courses on probability and analysis. The main ideas presented here have application to such areas as stereology and tomography, geometrical statistics, pattern and texture analysis. This book will be well suited as a starting point for individuals working in those areas to learn about the mathematical framework. It will also prove valuable as an introduction to geometric probability theory and integral geometry based on modern ideas.