國立虎尾科技大學 |

Computational methods for biological models

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Computational methods for biological models/ edited by Harendra Singh, Hemen Dutta.
other author:	Singh, Harendra.
Published:	Singapore :Springer Nature Singapore : : 2023.,
Description:	xi, 245 p. :ill. (chiefly color), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
Subject:	Biological models - Mathematics. -
Online resource:	https://doi.org/10.1007/978-981-99-5001-0
ISBN:	9789819950010

Computational methods for biological models
Computational methods for biological models[electronic resource] /edited by Harendra Singh, Hemen Dutta. - Singapore :Springer Nature Singapore :2023. - xi, 245 p. :ill. (chiefly color), digital ;24 cm. - Studies in computational intelligence,v. 11091860-9503 ;. - Studies in computational intelligence ;v. 50. .

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.

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.

ISBN: 9789819950010

Standard No.: 10.1007/978-981-99-5001-0doiSubjects--Topical Terms:

1431563
Biological models
--Mathematics.

LC Class. No.: QH324.8

Dewey Class. No.: 570.151

Computational methods for biological models
LDR:02976nam a2200337 a 4500 001 1117707
003 DE-He213
005 20231004100423.0
006 m d
007 cr nn 008maaau
008 240126s2023 si s 0 eng d
020 $a 9789819950010 $q (electronic bk.)
020 $a 9789819950003 $q (paper)
024 7 $a 10.1007/978-981-99-5001-0 $2 doi
035 $a 978-981-99-5001-0
040 $a GP $c GP
041 0 $a eng
050 4 $a QH324.8
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 570.151 $2 23
090 $a QH324.8 $b .C738 2023
245 0 0 $a Computational methods for biological models $h [electronic resource] / $c edited by Harendra Singh, Hemen Dutta.
260 $a Singapore : $c 2023. $b Springer Nature Singapore : $b Imprint: Springer,
300 $a xi, 245 p. : $b ill. (chiefly color), digital ; $c 24 cm.
490 1 $a Studies in computational intelligence, $x 1860-9503 ; $v 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 Biological models $x Mathematics. $3 1431563
650 1 4 $a Computational Intelligence. $3 768837
650 2 4 $a Computer Modelling. $3 1365730
650 2 4 $a Mathematical Models of Cognitive Processes and Neural Networks. $3 884110
650 2 4 $a Biological Models. $3 1387605
700 1 $a Singh, Harendra. $e editor. $3 1352010
700 1 $a Dutta, Hemen. $3 1108209
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
830 0 $a Studies in computational intelligence ; $v v. 50. $3 720500 $3 770436
856 4 0 $u https://doi.org/10.1007/978-981-99-5001-0
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)