Description
Springer Numerical Solutions of Realistic Nonlinear Phenomena 2021 Edition by J. A. Tenreiro Machado, Necati OEzdemir, Dumitru Baleanu
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. Table of contents : - 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 Aminoacids.- Chapter 11. A Numerical Approach for Variable Order Fractional Equations.- Chapter 12. Evolution of Plane Curves via Lie Symmetry Analysis in the Galilean Plane.