Name: Gender-Structured Population Modeling. Mathematical Methods, Numerics, and Simulations (en Inglés)
SKU: 67595614
Price: 122.20 USD
Availability: InStock
Author: M. Iannelli;M. Martcheva;F.A. Milner
ISBN: 9780898715774

portada Gender-Structured Population Modeling. Mathematical Methods, Numerics, and Simulations (en Inglés)

Gender-Structured Population Modeling. Mathematical Methods, Numerics, and Simulations (en Inglés)

Formato

Libro Físico

Editorial

SIAM - Society for Industrial and Applied Mathematics

Autor

M. Iannelli;M. Martcheva;F.A. Milner

Colección

Frontiers in Applied Mathematics

Año

2005

Idioma

Inglés

N° páginas

190

Encuadernación

Tapa Blanda

Dimensiones

22.9x15.2 cm

ISBN13

9780898715774

Gender-Structured Population Modeling. Mathematical Methods, Numerics, and Simulations (en Inglés)

M. Iannelli;M. Martcheva;F.a. Milner (Autor) · SIAM - Society for Industrial and Applied Mathematics · Tapa Blanda

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Reseña del libro "Gender-Structured Population Modeling. Mathematical Methods, Numerics, and Simulations (en Inglés)"

Provides a unified presentation of and mathematical framework for modelling population growth by couple formation. It provides an overview of both past and present modelling results. The authors focus on pair formation (marriage) and two-sex models with different forms of the marriage function and discuss which of these forms might make a better choice for a particular population (the United States).

Gender-Structured Population Modeling gives a unified presentation of and mathematical framework for modeling population growth by couple formation. It provides an overview of both past and present modeling results. The authors focus on pair formation (marriage) and two-sex models with different forms of the marriage function - the basis of couple formation - and discuss which of these forms might make a better choice for a particular population (the United States). It also provides results on model analysis, gives an up-to-date review of mathematical demography, discusses numerical methods, and puts deterministic modeling of human populations into historical perspective.

The authors describe several models and derive the theoretical results that demonstrate the validity of these models. The numerical methods for approximating the solutions of the differential models - the equivalent of creating discrete simulators - are delineated. Simulation results are compared with actual demographic data to show some of the difficulties concerning the availability of data and to show that mathematical demography provides reasonable qualitative and quantitative estimates. The models in this book can be applied to different sets of data.