Numerical Solutions of Realistic Nonlinear Phenomena. 1st ed. 2020

種類:

電子ブック

責任表示:

edited by J. A. Tenreiro Machado, Necati Özdemir, Dumitru Baleanu

出版情報:

Cham : Springer International Publishing : Imprint: Springer, 2020

著者名:

• Machado, J. A. Tenreiro.
• Özdemir, Necati.
• Baleanu, Dumitru.
• SpringerLink (Online service)

シリーズ名:

Nonlinear Systems and Complexity ; 31

ISBN:

9783030371418 [3030371417]    

注記:

Chapter 1. Monotone iterative technique for non-autonomous semilinear differential equations with non-instantaneous impulses -- Chapter 2. An extrapolated Crank Nicholson VMS-POD method for Darcy Brinkman Equations -- Chapter 3. Comparison of Exact and Numerical Solutions for the Sharma-Tasso-Olver Equation -- Chapter 4. A Linear B–spline Approximation for a Class of Nonlinear Time and Space Fractional Partial Differential Equations -- Chapter 5. Escaping from Current Minimizer by Using an Auxiliary Function Smoothed by Bezier Curves -- Chapter 6. A modified Laguerre matrix approach for Burger-Fisher type nonlinear equations -- Chapter 7. Increasing the Effects of Auxiliary Function by Multiple Extrema in Global Optimization -- Chapter 8. A New Approach for the Solution of the Generalized Abel Integral Equation -- Chapter 9. NPSOG: A new hybrid method for unconstrained differentiable optimization -- Chapter 10. Detection of HIV-1 Protease Cleavage Sites via Hidden Markov Model and Physiochemical Properties of
This collection covers new aspects of numerical methods in applied mathematics, engineering, and health sciences. It provides recent theoretical developments and new techniques based on optimization theory, partial differential equations (PDEs), mathematical modeling and fractional calculus that can be used to model and understand complex behavior in natural phenomena. Specific topics covered in detail include new numerical methods for nonlinear partial differential equations, global optimization, unconstrained optimization, detection of HIV- Protease, modelling with new fractional operators, analysis of biological models, and stochastic modelling. Presents new concepts to understand dynamical systems and develop modelling techniques Describes influence of fractional operators on modelling complex features of real-world problems Analyzes the epidemic of spreading models Introduces new hybrid methods for global and constrained optimization.

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