Advanced Mathematical Techniques in Computational and Intelligent Systems

This book comprehensively discusses the modeling of real-world industrial problems and innovative optimization techniques such as heuristics, finite methods, operation research techniques, intelligent algorithms, and agent- based methods.

• Discusses advanced techniques such as key cell, Mobius inversion, and zero suffix techniques to find initial feasible solutions to optimization problems.
• Provides a useful guide toward the development of a sustainable model for disaster management.
• Presents optimized hybrid block method techniques to solve mathematical problems existing in the industries.
• Covers mathematical techniques such as Laplace transformation, stochastic process, and differential techniques related to reliability theory.
• Highlights application on smart agriculture, smart healthcare, techniques for disaster management, and smart manufacturing.

Advanced Mathematical Techniques in Computational and Intelligent Systems is primarily written for graduate and senior undergraduate students, as well as academic researchers in electrical engineering, electronics and communications engineering, computer engineering, and mathematics.

Preface

Chapter 1 : Increasing the Order of Convergence of Three Step Modified Potra-Ptak-Chebyshev Methods for Systems and Equations
Chapter 2 : Mathematical Model to Distinguish the Symptomatic Patient of COVID-19
Chapter 3 : Maximum Cost Cell Method for IBFS of Transportation Problems
Chapter 4 : Optimization Techniques and Applications to Solve Real-World Industrial Optimization Problems
Chapter 5 : A Method to Solve Trapezoidal Transshipment Problem Under Uncertainty
Chapter 6 : Enhancing the Security of Public Key Cryptographic Model Based on Integrated Elgamal-Elliptic Curve Diffe Hellman (EG-ECDH) Key Exchange Technique
Chapter 7 : An Investigation of Fractional Ordered Biological Systems Using a Robust Semi-Analytical Technique
Chapter 8 : Variable Selection In Multiple Nonparametric Regression Modelling
Chapter 9 : Mathematical Modeling of Regulation of Sulfur Metabolic Pathways
Chapter 10 : Some Results on Quasi Convergence In Gradual Normed Linear Spaces
Chapter 11 : On Einstein Gyrogroup
Chapter 12 : On the Norms of Toeplitz and Hankel Matrices With Balancing and Lucas-Balancing Numbers
Chapter 13 : Grey Wolf Optimizer for the Design Optimization of a DC-DC Buck Converter
Chapter 14 : A New Modified Iterative Transform Method for Solving Time-Fractional Nonlinear Dispersive Korteweg-De Vries Equation
Chapter 15 : Application of Graph Theory In Search of Websites and Web Pages

Index