UID:
almahu_9949567209802882
Format:
XI, 245 p. 92 illus., 88 illus. in color.
,
online resource.
Edition:
1st ed. 2023.
ISBN:
9789819950010
Series Statement:
Studies in Computational Intelligence, 1109
Content:
This book discusses computational methods related to biological models using mathematical tools and techniques. The book chapters concentrate on numerical and analytical techniques that provide a global solution for biological models while keeping long-term benefits in mind. The solutions are useful in closely understanding biological models, and the results will be very useful for mathematicians, engineers, doctors, scientists and researchers working on real-life biological models. This book provides significant and current knowledge of biological models related to real-life applications. The book covers both methods and applications.
Note:
1. Exponential time-differencing method for the solution of diffusive HIV model -- 2. An effective technique for solving a model describing biological species living together -- 3. Neuro-Swarming Integrated Heuristic with an Interior-Point Scheme for Novel design of Lane-Emden Nonlinear Prediction Singular Differential Model -- 4. A fitted operator method for a system of delay model of tumor cells dynamics within their micro-environment -- 5. A Mathematical Model to Study Regulatory Properties and Dynamical Behaviour of Glycolytic Pathway using Bifurcation Analysis -- 6. On solutions of fractional biological models using reproducing kernel Hilbert space method -- 7. An operational matrix based method to find the solution of the fractional tumour immune vitamins model -- 8. Analysis of a fractional stage-structured model with Crowley-Martin type functional response by Lagrange polynomial based method -- 9. Qualitative Theory and Approximate Solution to Typhoid Fever Model Subject to Non Singular Kernel Type Derivative -- 10. Study of the SIRI epidemic model described by the Caputo derivative -- 11. Unlocking Biological systems through mathematical Modelling -- 12. Implementation of vaccination in epidemic model for COVID-19.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9789819950003
Additional Edition:
Printed edition: ISBN 9789819950027
Additional Edition:
Printed edition: ISBN 9789819950034
Language:
English
Subjects:
Computer Science
DOI:
10.1007/978-981-99-5001-0
URL:
https://doi.org/10.1007/978-981-99-5001-0
URL:
Volltext
(URL des Erstveröffentlichers)
