Continuous Optimization and Variational Inequalities
eBook - ePub

Continuous Optimization and Variational Inequalities

  1. 360 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Continuous Optimization and Variational Inequalities

About this book

The proposed book provides a comprehensive coverage of theory and methods in the areas of continuous optimization and variational inequality. It describes theory and solution methods for optimization with smooth and non-smooth functions, for variational inequalities with single-valued and multivalued mappings, and for related classes such as mixed variational inequalities, complementarity problems, and general equilibrium problems. The emphasis is made on revealing generic properties of these problems that allow creation of efficient solution methods.

Salient Features

  • The book presents a deep, wide-ranging introduction to the theory of the optimal control of processes governed by optimization techniques and variational inequality
  • Several solution methods are provided which will help the reader to develop various optimization tools for real-life problems which can be modeled by optimization techniques involving linear and nonlinear functions.
  • The book focuses on most recent contributions in the nonlinear phenomena, which can appear in various areas of human activities.
  • This book also presents relevant mathematics clearly and simply to help solve real life problems in diverse fields such as mechanical engineering, management, control behavior, traffic signal, industry, etc.

This book is aimed primarily at advanced undergraduates and graduate students pursuing computer engineering and electrical engineering courses. Researchers, academicians and industry people will also find this book useful.

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Yes, you can access Continuous Optimization and Variational Inequalities by Anurag Jayswal, Tadeusz Antczak, Anurag Jayswal,Tadeusz Antczak in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Computer Engineering. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover Page
  2. Half-Title Page
  3. Title Page
  4. Copyright Page
  5. Contents
  6. Editors
  7. Preface
  8. Contributors
  9. Symbols
  10. 1 Mixed Type Duality and Saddle Point Criteria for Multiobjective Programming Problems with Nonsmooth X Generalized Invexity
  11. 2 Optimality and Duality for Nonsmooth Optimization Problems with Switching Constraints
  12. 3 Optimality Conditions for Approximate Solutions of Nonsmooth Semi-Infinite Vector Optimization Problems
  13. 4 Density Aspects in Semi-Infinite Vector Optimization
  14. 5 Optimality Conditions and Duality for Nondifferentiable X Multiobjective Fractional Programming Problems
  15. 6 Nonconvex Nonsmooth Minimax Fractional Programming Involving Generalized Semidifferentiable Preinvex Functions with Different Directions
  16. 7 Optimality Conditions and Wolfe Duality Results for LU-Efficiency in Differentiable Vector Optimization Problems with Multiple Interval-Valued Objective X Function and Vanishing Constraints
  17. 8 Interval-Valued Multi-Time Control Problem with Applications
  18. 9 Generalized Minty and Stampacchia Vector Variational-Like Inequalities and Interval-Valued Vector Optimization Problems
  19. 10 Sufficient Optimality Conditions and Duality for a Nonsmooth Interval-Valued Optimization Problem with Generalized Convexity via gH-Clarke Subgradients
  20. 11 Forward-Backward Extragradient Methods for Quasimonotone Variational Inequalities
  21. 12 Multidimensional Split Variational Inequality in Traffic Analysis
  22. 13 Controlled Nonlinear Dynamics for Constrained Optimization Problems Involving Second-Order Partial Derivatives
  23. 14 A Non-Parametric Dual Control Algorithms of Multidimensional Static Systems with Delay
  24. 15 Well-Posedness of Set Optimization Using Nonlinear Scalarization Function
  25. Abbreviations
  26. Index