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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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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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Optimization of Type 2 Fuzzy Controllers Using the Bee Colony Algorithm

better stabilization, because the analysis of uncertainty is better. For this reason we consider in this book the proposed method using fuzzy;

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Classical and Modern Numerical Analysis

problems. Focusing on interval computing in numerical analysis, it explains interval arithmetic, interval computation, and interval algorithms. The;

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Parametric Interval Algebraic Systems

graphics, control theory, solving constraint satisfaction problems, and global 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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Interval-Censored Time-to-Event Data

analysis, and other models for interval-censored data. The next part presents interval-censored methods for current status data, Bayesian;

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Decision Making and Optimization

, linear algebra, interval analysis and fuzzy sets. The book will also be useful for the researchers in the respective areas. The first part of the;

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Optimization and Control Methods in Industrial Engineering and Construction

problems, optimum confidence interval analysis, a monitoring networks optimization survey, distributed fault detection, nonferrous industrial;

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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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Survival Analysis with Interval-Censored Data

Survival Analysis with Interval-Censored Data: A Practical Approach with Examples in R, SAS, and BUGS provides the reader with a practical;

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Survival Analysis with Interval-Censored Data

Survival Analysis with Interval-Censored Data: A Practical Approach with Examples in R, SAS, and BUGS provides the reader with a practical;

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Interval-Valued Methods in Classifications and Decisions

as decision making using interval-valued aggregation, and classification in case of missing values. Interesting applications of the developed;

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Interval Finite Element Method with MATLAB

uncertainty using computational modeling. The well-known and versatile Finite Element Method (FEM) is combined with the concept of interval;

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Yield-Aware Analog IC Design and Optimization in Nanometer-scale Technologies

means of Monte Carlo (MC) analysis, inside an optimization loop of a population-based algorithm. The low time impact on the overall optimization;

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Yield-Aware Analog IC Design and Optimization in Nanometer-scale Technologies

means of Monte Carlo (MC) analysis, inside an optimization loop of a population-based algorithm. The low time impact on the overall optimization;

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Multimodal Optimization by Means of Evolutionary Algorithms

, parallel evolutionary algorithms, and global optimization. The author explains niching in evolutionary algorithms and its benefits; he;

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Applied Probabilistic Calculus for Financial Engineering

, financial risk modeling and portfolio optimization using R, global and local optimal values, locating functional maxima and minima, and portfolio;

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A Course on Integral Equations with Numerical Analysis

and also using interval interpolations concepts to obtain interval integral equations. All researchers and students in the field;

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Interval Analysis

This self-contained text is a step-by-step introduction and a complete overview of interval computation and result verification, a subject;

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Optimization Methods in Metabolic Networks

Provides a tutorial on the computational tools that use mathematical optimization concepts and representations for the curation, analysis;

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Stochastic Global Optimization Methods and Applications to Chemical, Biochemical, Pharmaceutical and Environmental Processes

Stochastic global optimization methods and applications to chemical, biochemical, pharmaceutical and environmental processes presents;

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Bayesian and High-Dimensional Global Optimization

portion of this book is devoted to an analysis of high-dimensional global optimization problems and the so-called 'curse of dimensionality'. An;

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Nature Inspired Computing for Data Science

how researchers are using nature-inspired optimization techniques to find solutions to these problems in domains such as disease analysis and;

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Optimization and Applications

submissions. The papers are organized into the following topical sub-headings: mathematical programming, global optimization, discrete and;

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Economic Decision-making Using Interval TOPSIS

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Modern Trends in Structural and Solid Mechanics 3 - Non-deterministic Mechanics

and Solid Mechanics 3 has broad scope, covering topics such: design optimization under uncertainty, interval field approaches, convex analysis;

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