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Nonlinear Interval Optimization for Uncertain Problems

theory perspective, it develops an innovative mathematical transformation model to deal with general nonlinear interval uncertain optimization;

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Interval Methods for Solving Nonlinear Constraint Satisfaction, Optimization and Similar Problems

This book highlights recent research on interval methods for solving nonlinear constraint satisfaction, optimization and similar problems;

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Global Optimization Using Interval Analysis

Employing a closed set-theoretic foundation for interval computations, Global Optimization Using Interval Analysis simplifies algorithm;

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Affine Arithmetic Based Solution of Uncertain Static and Dynamic Problems

solutions. Further, uncertain static and dynamic problems turn into interval and/or fuzzy linearnonlinear systems of equations and eigenvalue;

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Affine Arithmetic Based Solution of Uncertain Static and Dynamic Problems

solutions. Further, uncertain static and dynamic problems turn into interval and/or fuzzy linearnonlinear systems of equations and eigenvalue;

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Numerica

function subject to nonlinear constraints. The field of global optimization is the study of methods to find all solutions to systems of nonlinear;

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Variational Analysis and Set Optimization

book is uncertain optimization. Important recent developments concerning numerical methods for solving set optimization problems;

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Variational Analysis and Set Optimization

This book contains the latest advances in variational analysis and set / vector optimization, including uncertain optimization, optimal;

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Continuous Nonlinear Optimization for Engineering Applications in GAMS Technolog

This book presents the theoretical details and computational performances of algorithms used for solving continuous nonlinear optimization;

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Continuous Nonlinear Optimization for Engineering Applications in GAMS Technology

This book presents the theoretical details and computational performances of algorithms used for solving continuous nonlinear optimization;

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Parametric Interval Algebraic Systems

linear algebra, but also for engineers dealing with problems involving uncertain data. The theory discussed is also useful in various other;

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Nonlinear Analysis and Global Optimization

This contributed volume discusses aspects of nonlinear analysis in which optimization plays an important role, as well as topics which are;

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Modeling and Control of Uncertain Nonlinear Systems with Fuzzy Equations and Z-Number

neural networks, this innovative volume provides a framework for control and modeling of uncertain nonlinear systems with applications to;

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Dynamic Surface Control of Uncertain Nonlinear Systems

importance. Dynamic Surface Control of Uncertain Nonlinear Systems provides a theoretically rigorous and practical introduction to nonlinear control;

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BONUS Algorithm for Large Scale Stochastic Nonlinear Programming Problems

generalized method for stochastic nonlinear programming based on a sampling based approach for uncertainty analysis and statistical reweighting to;

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Multicriteria Optimization

- Collection of results of multicriteria optimization, including nonlinear, linear and combinatorial optimization problems - Includes;

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Multicriteria Optimization

- Collection of results of multicriteria optimization, including nonlinear, linear and combinatorial optimization problems - Includes;

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Classical and Modern Numerical Analysis

specialized topics, such as finite element theory, advanced numerical linear algebra, and optimization. It prepares graduate students for taking;

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Nonlinear Optimization

of the modern theory and methods of nonlinear optimization and to analyze new problems, develop optimality theory for them, and choose or;

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Fundamentals of Optimization Techniques with Algorithms

traditional and advanced optimization techniques along with a variety of example problems, algorithms and MATLAB (c) code optimization techniques, for;

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Fuzzy Control and Filter Design for Uncertain Fuzzy Systems

for an uncertain nonlinear system is to linearize the system about an operating point, and uses linear control theory to design a controller;

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Nonlinear Multiobjective Optimization

-life phenomena are of a nonlinear nature, which is why we need tools for nonlinear programming capable of handling several conflicting or;

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Brits Speak Out

their theoretical analysis and introduces models for solving nonlinear programming problems and combinatorial optimization problems.;

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Time-Fractional Order Biological Systems with Uncertain Parameters

is challenging to obtain the solution (both analytical and numerical) of related nonlinear partial differential equations of fractional order. So for the;

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Time-Fractional Order Biological Systems with Uncertain Parameters

is challenging to obtain the solution (both analytical and numerical) of related nonlinear partial differential equations of fractional order. So for the;

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Time-Fractional Order Biological Systems with Uncertain Parameters

is challenging to obtain the solution (both analytical and numerical) of related nonlinear partial differential equations of fractional order. So for the;

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Uncertain Portfolio Optimization

This book provides a new modeling approach for portfolio optimization problems involving a lack of sufficient historical data. The content;

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