1. Mixed Type Duality and Saddle Point Criteria for Multiobjective Programming Problems with Nonsmooth Generalized Invexity by Shun-Chin Ho2. Optimality and Duality for Nonsmooth Optimization Problems with Switching Constraints by Yogendra Pandey3. Optimality Conditions for Approximate Solutions of Nonsmooth Semi-infinite Vector Optimization Problems by Liguo Jiao and Do Sang Kim4. Density Aspects in Semi-Infinite Vector Optimization by Shiva Kapoor and C.S. Lalitha5. Optimality Conditions and Duality for Nondifferentiable Multiobjective Fractional Programming Problems by Izhar Ahmad6. Nonconvex Nonsmooth Minimax Fractional Programming involving Generalized Semidifferentiable Preinvex Functions with Different Directions by Hachem Slimani7. Optimality Conditions and Wolfe Duality Results for LU-Efficiency in Differentiable Vector Optimization Problems with Multiple Interval-Valued Objective Function and Vanishing Constraints by Tadeusz Antczak8. Interval-Valued Multi-Time Control Problem with Applications by Preeti and Anurag Jayswal9. Generalized Minty and Stampacchia Vector Variational-Like Inequalities and Interval-Valued Vector Optimization Problems by B.B. Upadhyay, I.M. Stancu-Minasian, Shivani Sain and Priyanka Mishra10. Sufficient Optimality Conditions and Duality for a Nonsmooth Interval-Valued Optimization Problem with Generalized Convexity via gH-Clarke Subgradients by Debdas Ghosh and Suprova Ghosh11. Forward-Backward Extragradient Methods for Quasimonotone Variational Inequalities by Habib ur Rehman, Poom Kumam and Ioannis K. Argyros12. Multidimensional Split Variational Inequality in Traffic Analysis by Shipra Singh13. Controlled Nonlinear Dynamics for Constrained Optimization Problems Involving Second-Order Partial Derivatives by Savin Treanţă14. A Non-Parametric Dual Control Algorithms of Multidimensional Static Systems with Delay by A.V. Medvedev, M.A. Jiménez and E.A. Chzhan15. Well-Posedness of Set Optimization Using Nonlinear Scalarization Function by Manjari Srivastava, Sakshi Gupta and Rekha Gupta

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.

OCLC-licensed vendor bibliographic record.