Name: Exploring Stochastic Approaches to Epidemic Modeling: Concepts and use (en Inglés)
SKU: 63929921
Price: 1052.33 MXN
Availability: InStock
Author: Adel Settati; Soulaimane Aznague; Aadil Lahrouz
ISBN: 9786208414870

portada Exploring Stochastic Approaches to Epidemic Modeling: Concepts and use (en Inglés)

Exploring Stochastic Approaches to Epidemic Modeling: Concepts and use (en Inglés)

Formato

Libro Físico

Editorial

Lap Lambert Academic Publishing

Autor

Adel Settati; Soulaimane Aznague; Aadil Lahrouz

Idioma

Inglés

N° páginas

Encuadernación

Tapa Blanda

ISBN13

9786208414870

Exploring Stochastic Approaches to Epidemic Modeling: Concepts and use (en Inglés)

Adel Settati; Soulaimane Aznague; Aadil Lahrouz (Autor) · Lap Lambert Academic Publishing · Tapa Blanda

Libro Nuevo Importado

Envío: 22 a 27 días háb.

$ 1,753.88$ 1,052.33

-40%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan 10 unidades

$ 1,052.33

¡Envío Gratis! Llega entre el 12 Oct y el 20 Oct a CUAUHTÉMOC, Ciudad de México. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Exploring Stochastic Approaches to Epidemic Modeling: Concepts and use (en Inglés)"

Stochastic calculus has become an essential mathematical tool for modeling complex biological systems characterized by randomness and uncertainty. Unlike deterministic models, which may overlook the variability inherent in biological processes, stochastic calculus allows for explicitly incorporating noise and random fluctuations into the governing equations. This approach has proven particularly effective in fields such as population dynamics, gene regulation, neural activity, and the transmission of infectious diseases, where systems are influenced by random factors at both micro and macro scales. Researchers can use stochastic differential equations (SDEs) and Itô calculus to model biological systems' temporal evolution, accounting for deterministic components and stochastic disturbances. Applying stochastic calculus in biological modeling improves the precision of predictions and deepens our understanding of the mechanisms driving biological variability. As the discipline progresses, stochastic calculus is expected to play a growing role in enhancing our comprehension of complex biological phenomena and optimizing interventions in medicine, ecology, and biotechnology.