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Computational and Mathematical Models in Biology / / edited by Carla M.A. Pinto, Clara Mihaela Ionescu



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Autore: Pinto Carla M. A Visualizza persona
Titolo: Computational and Mathematical Models in Biology / / edited by Carla M.A. Pinto, Clara Mihaela Ionescu Visualizza cluster
Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Edizione: 1st ed. 2023.
Descrizione fisica: 1 online resource (331 pages)
Disciplina: 570.15195
Soggetto topico: Biomathematics
Bioinformatics
Engineering mathematics
Engineering - Data processing
Biology - Technique
Biology
Research Design
Computational Biology
Medical Informatics
Biomedical Technology
Systems Biology
Mathematical and Computational Biology
Computational and Systems Biology
Mathematical and Computational Engineering Applications
Biological Techniques
Biological Sciences
Biomatemàtica
Bioinformàtica
Informàtica mèdica
Soggetto genere / forma: Llibres electrònics
Altri autori: IonescuClara Mihaela  
Nota di contenuto: Volterra type model analyzed through different techniques" -- Rate-induced tipping and chaos in models of epidemics -- Numerical simulation and validation of a nonlinear differential system for drug release boosted by light -- Lipschitz Qiasistability of Impulsive Cohen–Grossberg Neural Network Models with Delays and Reaction-Diffusion Terms -- Study of the nonelementary singular points and the dynamics near the infinity in predator-prey systems -- -- Fractional order event-based control meets biomedical applications -- A model based optimal distributed predictive management of multi-drug infusion in lung cancer patient therapy -- From Duffing equation to bio-oscillations. -- Impact of Travel on Spread of Infection -- Mathematical Oncology. Tumor evolution models" -- Digital operators and discrete equations as computational tools -- Numerical simulations for viscous reactive micropolar real gas flow.
Sommario/riassunto: 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.
Titolo autorizzato: Computational and Mathematical Models in Biology  Visualizza cluster
ISBN: 3-031-42689-4
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910770263203321
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilitĂ  qui
Serie: Nonlinear Systems and Complexity, . 2196-0003 ; ; 38