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Computational and mathematical models in biology

Record Type:	Electronic resources : Monograph/item
Title/Author:	Computational and mathematical models in biologyedited by Carla M.A. Pinto, Clara Mihaela Ionescu.
other author:	Pinto, Carla M. A.
Published:	Cham :Springer Nature Switzerland :2023.
Description:	vi, 329 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	BiologyComputer simulation.
Online resource:	https://doi.org/10.1007/978-3-031-42689-6
ISBN:	9783031426896$q(electronic bk.)

Computational and mathematical models in biology
Computational and mathematical models in biology[electronic resource] /edited by Carla M.A. Pinto, Clara Mihaela Ionescu. - Cham :Springer Nature Switzerland :2023. - vi, 329 p. :ill. (some col.), digital ;24 cm. - Nonlinear systems and complexity,v. 382196-0003 ;. - Nonlinear systems and complexity ;7..

This book provides the most valuable and updated research on computational and mathematical models in biological systems from influential researchers around the world and contributes to the development of future research guidelines in this topic. Topics include (but are not limited to): modeling infectious and dynamic diseases; regulation of cell function; biological pattern formation; biological networks; tumor growth and angiogenesis; complex biological systems; Monte Carlo methods; Control theory, optimization and their applications.

ISBN: 9783031426896$q(electronic bk.)

Standard No.: 10.1007/978-3-031-42689-6doiSubjects--Topical Terms:

188766
Biology
--Computer simulation.

LC Class. No.: QH323.5

Dewey Class. No.: 570.285

Computational and mathematical models in biology
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520 $a This book provides the most valuable and updated research on computational and mathematical models in biological systems from influential researchers around the world and contributes to the development of future research guidelines in this topic. Topics include (but are not limited to): modeling infectious and dynamic diseases; regulation of cell function; biological pattern formation; biological networks; tumor growth and angiogenesis; complex biological systems; Monte Carlo methods; Control theory, optimization and their applications.
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