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Optimization on Solution Sets of Common Fixed Point Problems

solution sets of common fixed point problems and convex feasibility problems. These optimization problems are investigated to determine good;

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Optimization on Solution Sets of Common Fixed Point Problems

solution sets of common fixed point problems and convex feasibility problems. These optimization problems are investigated to determine good;

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Nonlinear Programming Techniques for Equilibria

complementarity, variational inequalities, multiobjective optimization, fixed point problems, noncooperative games and inverse optimization. Moreover, the;

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Fixed Point Theory and Graph Theory

intersection of the domains. The authors provide solution methods for fixed points in different settings, with two chapters devoted to the;

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Pseudolinear Functions and Optimization

Pseudolinear Functions and Optimization is the first book to focus exclusively on pseudolinear functions, a class of generalized convex;

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Pseudolinear Functions and Optimization

Pseudolinear Functions and Optimization is the first book to focus exclusively on pseudolinear functions, a class of generalized convex;

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Fixed Point Theory, Variational Analysis, and Optimization

Fixed Point Theory, Variational Analysis, and Optimization not only covers three vital branches of nonlinear analysis-fixed point theory;

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Solution Sets for Differential Equations and Inclusions

describes the methods concerning the topological structure of fixed point sets and solution sets for differential equations and inclusions. Many;

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Algorithms for Solving Common Fixed Point Problems

This book details approximate solutions to common fixed point problems and convex feasibility problems in the presence of perturbations;

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Totally Convex Functions for Fixed Points Computation and Infinite Dimensional Optimization

The main purpose of this book is to present, in a unified approach, several algorithms for fixed point computation, convex feasibility and;

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Fuzzy Sets and Interactive Multiobjective Optimization

point as a compromise or satisficing solution with rational pro cedure? This is the starting point of multiobjective optimization. To be more;

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Geometry of Single-Point Turning Tools and Drills: Fundamentals and Practical Applications

Geometry of Single-Point Turning Tools and Drills outlines clear objectives of cutting tool geometry selection and optimization, using;

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Attraction in Numerical Minimization

Numerical minimization of an objective function is analyzed in this book to understand solution algorithms for optimization problems;

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Advances in Metric Fixed Point Theory and Applications

This book collects papers on major topics in fixed point theory and its applications. Each chapter is accompanied by basic notions;

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Metric Structures and Fixed Point Theory

of solutions of integral and differential equations are closely related to fixed point theory. For this reason, many people over the past seventy years;

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Optimization

Choose the Correct Solution Method for Your Optimization Problem Optimization: Algorithms and Applications presents a variety;

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Optimization Modelling

although many operations research, management science, and optimization books touch on modelling techniques, the short shrift they usually get;

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An In-Depth Guide to Fixed-Point Theorems

This book details fixed point theory, a gripping and wide-ranging field with applications in multifold areas of pure and applied;

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Metric Spaces

spaces and continuity of functions defined on a metric space. Chapter seven is devoted to the metric fixed point theory. Banach contraction;

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Optimization Theory Based on Neutrosophic and Plithogenic Sets

Optimization Theory Based on Neutrosophic and Plithogenic Sets presents the state-of-the-art research on neutrosophic and plithogenic;

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Fixed Point Theorems With Applications To Economics And Game

of assumptions have a solution. This book gives the reader access to the mathematical techniques involved and goes on to apply fixed point theorems to;

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The Linearization Method for Constrained Optimization

optimization specialists, from graduate student level on - a brief yet quite complete exposition of this most effective method of solution;

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Fixed Points of Set Valued Maps

classical theorems; Banach's fixed point theorem and Tarski's fixed point theorem. We focus on the existence of fixed point in partially ordered;

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Robust Optimization

optimization problems: to operate under lack of full information on the nature of uncertainty; to model the problem in a form that can be solved;

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Elementary Fixed Point Theorems

, examine Caristi's fixed point theorem, and highlights Kakutani's theorems on common fixed points and their applications.;

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Convexity And Optimization In Rn

algorithms for the solution of finite dimensional optimization problems. For readers who do not have the requisite background in real analysis, the;

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Robust and Constrained Optimization

sets. Following this, the authors describe a model of an uncertain vector optimization problem and define robust solutions. Scalarization and;

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