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Introduction to Unconstrained Optimization with R

The book highlights methods such as the steepest descent method, Newton method, conjugate direction method, conjugate gradient methods;

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Nonlinear Conjugate Gradient Methods for Unconstrained Optimization

Two approaches are known for solving large-scale unconstrained optimization problems-the limited-memory quasi-Newton method (truncated;

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Nonlinear Conjugate Gradient Methods for Unconstrained Optimization

Two approaches are known for solving large-scale unconstrained optimization problems-the limited-memory quasi-Newton method (truncated;

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Introduction to Unconstrained Optimization with R

This book discusses unconstrained optimization with R-a free, open-source computing environment, which works on several platforms;

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Riemannian Optimization and Its Applications

This brief describes the basics of Riemannian optimization-optimization on Riemannian manifolds-introduces algorithms for Riemannian;

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The Linearization Method for Constrained Optimization

Techniques of optimization are applied in many problems in economics, automatic control, engineering, etc. and a wealth of literature;

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Optimization

programming, method of feasible directions, genetic algorithms, particle swarm optimization (PSO), simulated annealing, ant colony optimization, and;

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Optimization Algorithms on Matrix Manifolds

Many problems in the sciences and engineering can be rephrased as optimization problems on matrix search spaces endowed with a so-called;

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Conjugate Gradient Type Methods for Ill-Posed Problems

The conjugate gradient method is a powerful tool for the iterative solution of self-adjoint operator;...

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Conjugate Gradient Type Methods for Ill-Posed Problems

The conjugate gradient method is a powerful tool for the iterative solution of self-adjoint operator;...

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Conjugate Direction Methods in Optimization

Shortly after the end of World War II high-speed digital computing machines were being developed. It;...

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Classical and Modern Engineering Methods in Fluid Flow and Heat Transfer

Conjugate methods, also sometimes referred to as coupled equations, are used to analyze the inter-de;...

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Conjugate Heat and Mass Transfer in Heat Mass Exchanger Ducts

). Explaining the data behind and the applications of conjugated heat and mass transfer allows for the design, analysis, and optimization of heat and;

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Methods In Electromagnetic Wave Propagation

optimization, absorbing boundary conditions, and surface radiation conditions.;

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Conjugate Problems in Convective Heat Transfer

Illustrates Calculations Using Machine and Technological Processes The conjugate heat transfer (C;...

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Conjugate Problems in Convective Heat Transfer

Illustrates Calculations Using Machine and Technological Processes The conjugate heat transfer (C;...

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Investigating a Phase Conjugate Mirror for Magnon-Based Computing

along the same direction of travel. After establishing a theoretical framework, the careful design of the experiment is presented, followed by;

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Investigating a Phase Conjugate Mirror for Magnon-Based Computing

along the same direction of travel. After establishing a theoretical framework, the careful design of the experiment is presented, followed by;

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Alternating Direction Method of Multipliers for Machine Learning

of optimization problem, and the alternating direction method of multipliers (ADMM) is a commonly used algorithm to solve constrained problems, especially;

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Optimization of Distributed Parameter Structures - Volume I

These proceedings contain lectures and contributed papers presented at the NATO-NSF Advanced Stucy Institute on Optimization of Distributed;

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Black Box Simulation Optimization

The term 'simulation optimization' has become widespread in both academical and practical studies. One of the many reasons for this;

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Modern Optimization with R

The goal of this book is to gather in a single work the most relevant concepts related in optimization methods, showing how such theories;

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First-Order Methods in Large-Scale Semidefinite Optimization

First-Order Methods in Large-Scale Semidefinite Optimization is een boek van Cuvillier Verlag;

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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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Multi-Composed Programming with Applications to Facility Location

Oleg Wilfer presents a new conjugate duality concept for geometric and cone constrained optimization problems whose objective functions are;

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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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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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