Computational Methods for Biological Models

Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Singh, Harendra (Editor), Dutta, Hemen (Editor)
Summary:XI, 245 p. 92 illus., 88 illus. in color.
text
Language:English
Published: Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Edition:1st ed. 2023.
Series:Studies in Computational Intelligence, 1109
Subjects:
Online Access:https://doi.org/10.1007/978-981-99-5001-0
Format: Electronic Book

MARC

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490 1 |a Studies in Computational Intelligence,  |x 1860-9503 ;  |v 1109 
505 0 |a 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. 
520 |a 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. 
650 0 |a Computational intelligence. 
650 0 |a Computer simulation. 
650 0 |a Neural networks (Computer science) . 
650 0 |a Biological models. 
650 1 4 |a Computational Intelligence. 
650 2 4 |a Computer Modelling. 
650 2 4 |a Mathematical Models of Cognitive Processes and Neural Networks. 
650 2 4 |a Biological Models. 
700 1 |a Singh, Harendra.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Dutta, Hemen.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
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950 |a Intelligent Technologies and Robotics (SpringerNature-42732) 
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