1 option
Advanced Mathematical Techniques in Computational and Intelligent Systems.
- Format:
- Book
- Author/Creator:
- Singh, Sandeep.
- Series:
- Computational and Intelligent Systems Series
- Language:
- English
- Physical Description:
- 1 online resource (285 pages)
- Edition:
- 1st ed.
- Place of Publication:
- Milton : Taylor & Francis Group, 2023.
- Summary:
- 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.
- Contents:
- Cover
- Half Title
- Series Page
- Title Page
- Copyright Page
- Table of Contents
- About the Editors
- Contributors
- Preface
- 1 Increasing the Order of Convergence of Three-step-Modified Potra-Pták-Chebyshev Methods for Systems and Equations
- 1.1 Introduction
- 1.2 Development of the Method
- 1.3 Multi-step Version Method
- 1.4 Local Convergence Analysis
- 1.5 Numerical Examples
- References
- 2 Mathematical Model to Distinguish the Symptomatic Patient of COVID-19
- 2.1 Introduction
- 2.2 Preliminaries
- 2.2.1 Basic Definition
- 2.2.2 Arithmetic Operations
- 2.2.3 Max-min Principle
- 2.3 Approach
- 2.4 Model Representation
- 2.5 Case Study
- 2.6 Results and Discussion
- 2.7 Conclusion and Future Scope
- 3 Maximum Cost cell Method for IBFS of Transportation Problems
- 3.1 Introduction
- 3.2 Mathematical Representation
- 3.3 Proposed Algorithm (PA)
- 3.4 Illustrative Example
- 3.5 Comparative Study
- 3.6 Conclusion
- 4 Optimization Techniques and Applications to Solve Real-world Industrial Optimization Problems
- 4.1 Introduction
- 4.1.1 Background
- 4.2 Recent Works
- 4.2.1 Optimizing Maintenance Schedule
- 4.2.2 Search-based Software Testing (SBST)
- 4.2.3 Cost Optimization of Turning Process
- 4.3 Problem Statement
- 4.3.1 Research Questions
- 4.3.2 Research Objectives
- 4.4 Using Industrial data for Optimization Practices
- 4.4.1 Centralization and Collection of Data
- 4.4.2 Automation of Monitoring
- 4.4.3 Real-time Data Visualization
- 4.4.4 Predictive Analysis
- 4.5 Optimization Techniques and Applications to Solve Real-world Problems
- 4.5.1 Optimization Models
- 4.5.2 Optimization Methods
- 4.5.3 The Complex Nature of Production Optimization
- 4.5.4 Solving Optimization Problem with Machine Learning
- 4.5.5 Components of ML-based Production Optimization.
- 4.6 Discussion
- 4.7 Conclusion
- 5 A Method to Solve Trapezoidal Transshipment Problem under Uncertainty
- 5.1 Introduction
- 5.2 Preliminaries
- 5.3 Arithmetic Operations
- 5.4 Ranking Function
- 5.5 Mathematical Formulation of the Transshipment Problem under Uncertainty
- 5.6 Proposed Method
- 5.7 Numerical Example
- 5.8 Results and Discussion
- 5.9 Comparative Studies
- 5.10 Conclusion
- 6 Enhancing the Security of Public key Cryptographic Model based on Integrated ElGamal-Elliptic Curve Diffe Hellman (EG-ECDH) Key Exchange Technique
- 6.1 Introduction
- 6.2 Generalized Fibonacci Matrix and its Inverse
- 6.3 Technique for key Generation, Encryption and Decryption
- 6.3.1 ElGamal Technique
- 6.3.2 ECDH Technique
- 6.3.3 Proposed Integrated ElGamal-ECDH Technique for key Generation
- 6.4 Technique for Encryption and Decryption
- 6.5 Algorithm for Proposed Model
- 6.6 Numerical Example
- 6.7 Complexity of this Model
- 6.8 Conclusion
- 7 An Investigation of Fractional Ordered Biological Systems using a Robust Semi-Analytical Technique
- 7.1 Introduction
- 7.2 Generalized time Fractional order Biological Population Model
- 7.3 Preliminaries
- 7.3.1 Basic Concept of Fractional Calculus
- 7.3.2 Basic Definitions
- 7.4 Implementation of Fractional Modified Differential Transform Method
- 7.5 Conclusion
- 8 Variable Selection in Multiple Nonparametric Regression Modelling
- 8.1 Introduction
- 8.2 Proposed Methodology and Statistical Properties
- 8.2.1 Description of the Method
- 8.2.2 Large Sample Statistical Property
- 8.3 Simulation Study
- 8.4 Real data Analysis
- 8.4.1 QSAR Fish Toxicity Data Set
- 8.4.2 Istanbul Stock Exchange Data Set
- 8.4.3 SGEMM GPU Kernel Performance Data Set
- 8.4.4 CSM (Conventional and Social Media Movies) Data Set.
- 8.5 Concluding Remarks
- Appendix A (Proofs)
- Appendix B (Tables)
- Acknowledgement
- 9 Mathematical Modeling of Regulation of Sulfur Metabolic Pathways
- 9.1 Introduction
- 9.2 Review of Literature
- 9.3 Materials and Methods
- 9.3.1 Materials
- 9.3.2 Methods
- 9.4 Results
- 9.4.1 KEGG Reported S-biochemical Pathways
- 9.4.2 Construction of S-biochemical Network
- 9.4.3 Model Formulation
- 9.4.4 Steady State Behavior of S-biochemical System
- 9.4.5 Parameter Dependency of the S-biochemical System
- 9.4.6 Initial Condition Dependency of the S-biochemical System
- 9.4.7 Flipping Dynamics of Sulfate and Sulfide
- 9.4.8 Elementary Flux Modes
- 9.5 Conclusion
- 10 Some Results on Quasi-convergence in Gradual Normed linear Spaces
- 10.1 Introduction: Background and Driving Forces
- 10.2 Preliminaries
- 10.3 Main Results
- 10.4 Conclusion
- 11 On Einstein Gyrogroup
- 11.1 Introduction
- 11.2 Preliminaries
- 11.2.1 Gyrogroup and its Main Properties
- 11.2.2 Einstein's Addition of Relativistically Admissible Velocities
- 11.3 Gyrations: Repairing the Breakdown of Classical Laws
- 12 On the Norms of Toeplitz and Hankel Matrices with Balancing and Lucas-balancing Numbers
- 12.1 Introduction
- 12.1.1 Norms and Bounds for Spectral Norm
- 12.2 Main Results
- 12.2.1 Bounds on Norms for Toeplitz Matrices
- 12.2.2 Norms on Hankel Matrices
- 12.3 Numerical Experiments
- 12.4 Concluding Remarks
- Acknowledgment
- 13 Grey Wolf Optimizer for the Design Optimization of a DC-DC Buck Converter
- 13.1 Introduction
- 13.2 Algorithms for Optimization
- 13.2.1 Grey Wolf Optimizer
- 13.2.2 Moth Flame Optimization
- 13.2.3 Particle Swarm Optimization
- 13.2.4 Simulated Annealing
- 13.2.5 Firefly Algorithm.
- 13.3 Steady State Space Model of the DC-DC buck Converter
- 13.4 Design Constraints of the DC-DC buck Converter
- 13.5 Results and Discussion
- 13.5.1 Solution Quality
- 13.5.2 Robustness
- 13.6 Conclusions
- 14 A New Modified Iterative Transform Method for Solving Time-fractional Nonlinear Dispersive Korteweg-de Vries Equation
- 14.1 Introduction
- 14.2 Numerical Experiment
- 14.3 Some Preliminaries
- 14.3.1 Basics on Fractional Calculus
- 14.3.2 Conformable Sumudu Transform
- 14.4 Conformable New Iterative Transform Method
- 14.5 Illustrative Example
- 14.6 Conclusion
- Acknowledgments
- 15 Application of Graph Theory in Search of Websites and Web Pages
- 15.1 Introduction
- 15.2 Materials and Methods
- 15.3 Solution Procedure
- 15.4 Results and Discussion
- 15.5 Conclusion
- Index.
- Notes:
- Description based on publisher supplied metadata and other sources.
- Other Format:
- Print version: Singh, Sandeep Advanced Mathematical Techniques in Computational and Intelligent Systems
- ISBN:
- 9781000997477
- 1000997472
- OCLC:
- 1406412833
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.