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Interative Methods for Optimization

This book presents a carefully selected group of methods for unconstrained and bound constrained optimization problems and analyzes them;

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Iterative Incomplete Factorization Methods

This book is devoted to numerical methods for solving sparse linear algebra systems of very large dimension which arise in the;

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Controller Tuning Optimization Methods for Multi-Constraints and Nonlinear Systems

This book covers controller tuning techniques from conventional to new optimization methods for diverse control engineering applications;

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Nonlinear Interval Optimization for Uncertain Problems

. This model is then used as the basis for various interval uncertain optimization algorithms for engineering applications, which address the low;

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Modern Optimization with R

particularly useful for solving complex problems for which no specialized optimization algorithm has been developed. These methods often yield high;

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Numerical Methods and Optimization

For students in industrial and systems engineering (ISE) and operations research (OR) to understand optimization at an advanced level, they;

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Algorithms for Convex Optimization

In the last few years, Algorithms for Convex Optimization have revolutionized algorithm design, both for discrete and continuous;

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Algorithms for Convex Optimization

In the last few years, Algorithms for Convex Optimization have revolutionized algorithm design, both for discrete and continuous;

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Nonlinear Optimization

and social sciences. Organized into two parts, this book may be used as a primary text for courses on convex optimization and non-convex;

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Finite Elements-based Optimization

This book is intended to be a cookbook for students and researchers to understand the finite element method and optimization methods and;

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Introduction to Derivative-Free Optimization

The absence of derivatives, often combined with the presence of noise or lack of smoothness, is a major challenge for optimization. This;

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Numerical Nonsmooth Optimization

, the book is ideal for students attending courses on numerical nonsmooth optimization, for lecturers who teach optimization courses, and for;

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Optimization of Manufacturing Processes

optimization in manufacturing. Readers will develop an understanding of the implementation of statistical and evolutionary techniques for modeling and;

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Design Optimization of Fluid Machinery

and experience, this timely reference brings together numerical optimization methods for fluid machinery and its key industrial applications;

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Numerical Optimization

Optimization is an important tool used in decision science and for the analysis of physical systems used in engineering. One can trace its;

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Numerical Optimization

Optimization is an important tool used in decision science and for the analysis of physical systems used in engineering. One can trace its;

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Fast Sequential Monte Carlo Methods for Counting and Optimization

for estimation of rare-event probabilities, counting problems, and combinatorial optimization, Fast Sequential Monte Carlo Methods for;

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Engineering Optimization

of convex functions, and goal programming for solving multi-objective optimization problems. A practical, hands-on reference and text, Engineering;

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Optimization Methods For Logical Inference

Merging logic and mathematics in deductive inference--an innovative, cutting--edge approach. Optimization methods for logical inference;

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A First Course in Optimization

Give Your Students the Proper Groundwork for Future Studies in Optimization A First Course in Optimization is designed for a one;

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Multidisciplinary Design Optimization Supported By Knowledge

Multidisciplinary Design Optimization supported by Knowledge Based Engineering supports engineers confronting this daunting and new design;

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Engineering Optimization

The revised and updated new edition of the popular optimization book for engineers The thoroughly revised and updated fifth edition;

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Nonlinear Optimization

, duality theory, and numerical methods for solving unconstrained and constrained optimization problems. It addresses not only classical material;

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Introduction to Process Control

statistical techniques and methods of control and system optimization needed for the mathematical modeling, analysis, simulation, control and;

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Optimization for Machine Learning

An up-to-date account of the interplay between optimization and machine learning, accessible to students and researchers in both;

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Modeling and Optimization of Interdependent Energy Infrastructures

This book opens up new ways to develop mathematical models and optimization methods for interdependent energy infrastructures, ranging from;

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Applied Optimization Methods for Wireless Networks

case study taken from state-of-the-art research. You will learn various tips and step-by-step instructions for developing optimization models;

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