Advanced Mathematical Techniques in Computational and Intelligent Systems
eBook - ePub

Advanced Mathematical Techniques in Computational and Intelligent Systems

  1. 264 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Advanced Mathematical Techniques in Computational and Intelligent Systems

About this book

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.

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Yes, you can access Advanced Mathematical Techniques in Computational and Intelligent Systems by Sandeep Singh, Aliakbar Montazer Haghighi, Sandeep Dalal, Sandeep Singh,Aliakbar Montazer Haghighi,Sandeep Dalal in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Engineering. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover
  2. Half Title
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Table of Contents
  7. About the Editors
  8. Contributors
  9. Preface
  10. 1 Increasing the order of convergence of three-step-modified Potra-Pták-Chebyshev methods for systems and equations
  11. 2 Mathematical model to distinguish the symptomatic patient of COVID-19
  12. 3 Maximum cost cell method for IBFS of transportation problems
  13. 4 Optimization techniques and applications to solve real-world industrial optimization problems
  14. 5 A method to solve trapezoidal transshipment problem under uncertainty
  15. 6 Enhancing the security of public key cryptographic model based on integrated ElGamal-Elliptic Curve Diffe Hellman (EG-ECDH) key exchange technique
  16. 7 An investigation of fractional ordered biological systems using a robust semi-analytical technique
  17. 8 Variable selection in multiple nonparametric regression modelling
  18. 9 Mathematical modeling of regulation of sulfur metabolic pathways
  19. 10 Some results on quasi-convergence in gradual normed linear spaces
  20. 11 On Einstein Gyrogroup
  21. 12 On the norms of Toeplitz and Hankel matrices with balancing and Lucas-balancing numbers
  22. 13 Grey Wolf Optimizer for the design optimization of a DC-DC buck converter
  23. 14 A new modified Iterative Transform Method for solving time-fractional nonlinear dispersive Korteweg-de Vries equation
  24. 15 Application of graph theory in search of websites and web pages
  25. Index