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Quasiconvex Optimization and Location Theory

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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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Even Convexity and Optimization

convex sets. The book introduces their application to convex optimization. Particular attention is paid to evenly convex polyhedra and finite;

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Even Convexity and Optimization

convex sets. The book introduces their application to convex optimization. Particular attention is paid to evenly convex polyhedra and finite;

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On Quasiconvex Conditional Maps.Duality Results and Applications to Finance

On Quasiconvex Conditional Maps.Duality Results and Applications to Finance is een boek van Marco Maggis;

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Optimization Problems and Their Applications

of 73 submissions. The papers are listed in thematic sections, namely location problems, scheduling and routing problems, optimization problems;

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Advancing Parametric Optimization

The theory presented in this work merges many concepts from mathematical optimization and real algebraic geometry. When unknown or;

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Artificial Intelligence In Highway Location And Alignment Optimization

This monograph provides a comprehensive overview of methods for searching, evaluating, and optimizing highway location and alignments using;

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Energy Based Location Optimization in Wireless Sensor Networks

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Systems Modelling and Optimization Proceedings of the 18th IFIP TC7 Conference

Top researchers in optimization and control from around the world gathered in Detroit for the 18th annual IFIP TC7 Conference on Systems;

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Systems Modelling and Optimization Proceedings of the 18th IFIP TC7 Conference

Top researchers in optimization and control from around the world gathered in Detroit for the 18th annual IFIP TC7 Conference on Systems;

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Discrete Optimization and Operations Research

This book constitutes the proceedings of the 9th International Conference on Discrete Optimization and Operations Research, DOOR 2016, held;

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Applications of Location Analysis

the Foundations book reviewed the theory and first contributions, this book describes how different location techniques have been used to;

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Location Theory

and examples help the reader to become familiar with this new location model. By using OMP classical results of location theory can be;

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Spatial Interaction Models

in non-cooperative and cooperative methods. Models and methods regarding the facility location via game theory are explored and applications are;

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Nonlinear Interval Optimization for Uncertain Problems

This book systematically discusses nonlinear interval optimization design theory and methods. Firstly, adopting a mathematical programming;

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Discrete Location Theory

problems; and the p-center problem. Leading experts in the field of discrete location theory contributed to each chapter. In addition, there are;

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Uncertain Portfolio Optimization

variables, the book presents a series of portfolio optimization models in the framework of credibility theory, uncertainty theory and chance theory;

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Convex Optimization for Signal Processing and Communications

of convex optimization, while striking a balance between mathematical theory and applications in signal processing and communications;

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Convex Optimization for Signal Processing and Communications

of convex optimization, while striking a balance between mathematical theory and applications in signal processing and communications;

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Linear and Integer Optimization

Presenting a strong and clear relationship between theory and practice, Linear and Integer Optimization: Theory and Practice is divided;

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Discrete Convex Analysis

) and combinatorial optimization (matroid/submodular function theory) to establish a unified theoretical framework for nonlinear discrete;

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Flexible and Generalized Uncertainty Optimization

This book presents the theory and methods of flexible and generalized uncertainty optimization. Particularly, it describes the theory;

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Flexible and Generalized Uncertainty Optimization

This book presents the theory and methods of flexible and generalized uncertainty optimization. Particularly, it describes the theory;

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Handbook of Graph Theory, Combinatorial Optimization, and Algorithms

The fusion between graph theory and combinatorial optimization has led to theoretically profound and practically useful algorithms, yet;

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Generalized Nash Equilibrium Problems Bilevel Programming and MPEC

primary aim of the book is to present the modern tool of variational analysis and optimization, which are used to analyze these three classes;

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Nonlinear Optimization

of applications from a diverse mix of fields, e.g. location analysis, traffic planning, and water quality management, to name but a few. In turn, the book;

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