| Description |
1 online resource (441 p.) |
| Series |
Information Technology, Management and Operations Research Practices Ser |
|
Information Technology, Management and Operations Research Practices Ser
|
| Contents |
Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Table of Contents -- Preface -- Editors -- Contributors -- Chapter 1 Evolutionary Modeling of Dengue Fever with Incubation Period of Virus -- 1.1 Introduction -- 1.2 Basic Notions -- 1.2.1 Padé Approximation -- 1.2.2 Non-Stagnated Nelder-Mead Simplex Algorithm (NS-NMSA) -- 1.2.3 Differential Evolution (DE) -- 1.3 Model of Dengue Disease with Incubation Period of Virus -- 1.3.1 Steady States of the Model -- 1.3.2 Sensitivity of Basic Reproductive Number -- 1.4 The Proposed DCMP Framework -- 1.5 Results and Discussions |
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1.6 Conclusion -- References -- Chapter 2 Fuzzy-Genetic Approach to Epidemiology -- 2.1 Introduction -- 2.2 Genetic Epidemiology and Topology -- 2.3 Unequal Crossover -- 2.4 Mathematical Background -- 2.4.1 Fuzzy Sets -- 2.4.2 Fuzzy Pretopology -- 2.5 Fuzzy Topological Properties of Recombination Space -- 2.5.1 Mathematical Definition of Recombination Sets -- 2.5.2 Unrestricted Unequal Crossover -- 2.5.3 Fuzzy Pretopology in a Recombination Space -- 2.5.4 Separation Properties -- 2.5.5 Lindelofness and Compactness -- 2.5.6 Connectedness -- 2.6 Conclusion -- References |
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Chapter 3 Role of Mathematical Models in Physiology and Pathology -- 3.1 Introduction -- 3.2 Role of Mathematical Models in the Study of Brain Injury Problems -- 3.3 Mathematical Modeling for Blood Flow in Human Artery/Vein -- 3.4 Conclusion -- References -- Chapter 4 Machine-Learned Regression Assessment of the HIV Epidemiological Development in Asian Region -- 4.1 Introduction -- 4.2 Mathematical Development of the HIV Epidemiology -- 4.2.1 Techniques Implemented for Analysis -- 4.2.1.1 Study of Phase Dynamics -- 4.2.1.2 Distribution Fitting |
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4.2.1.3 Goodness of Fit, Histogram, and Density Function -- 4.2.1.4 Coefficient of Determination (R[sup(2)]) -- 4.2.1.5 Kolmogorov-Smirnov Test -- 4.2.2 Analysis of Machine-Learned Regression Models -- 4.2.2.1 L-1 Norm Regression-Learned Model -- 4.2.2.2 Logistic Regression-Learned Model -- 4.2.2.3 Poisson Regression-Learned Model -- 4.2.3 Inferences of Multifaceted Epidemiological System -- 4.3 Conclusion -- Acknowledgment -- References -- Chapter 5 Mathematical Modeling to Find the Potential Number of Ways to Distribute Certain Things to Certain Places in Medical Field -- 5.1 Introduction |
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5.2 Real-Life Application of Mathematical Modeling of the Real-Life Situation Using Our Double Twin Domination Number of a Graph in Medical Field -- 5.3 Double Twin Domination Number of Derived Graphs and Special Type of Graphs -- 5.4 Conclusion -- References -- Chapter 6 Fractional SIRI Model with Delay in Context of the Generalized Liouville-Caputo Fractional Derivative -- 6.1 Introduction -- 6.2 Fractional Calculus Tools and Stability Notions -- 6.3 Presentation of SIRI Epidemic Model and Characteristics Numbers -- 6.4 Existence and Uniqueness of the SIRI Model with Delay |
| Notes |
Description based upon print version of record |
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6.5 Stability of the SIRI Equation with Delay |
| Form |
Electronic book
|
| Author |
Agarwal, Ritu
|
|
Atangana, Abdon
|
| ISBN |
9781000226942 |
|
1000226948 |
|
