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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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Multivariate Data Analysis on Matrix Manifolds

analysis (MDA). Unlike similar texts, it treats the MDA problems as optimization problems on matrix manifolds defined by the MDA model parameters;

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Algorithmic Advances in Riemannian Geometry and Applications

researchers in the field. These include statistical modeling and analysis on manifolds,optimization on manifolds, Riemannian manifolds and kernel;

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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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MM Optimization Algorithms

Offers an overview of the MM principle, a device for deriving optimization algorithms satisfying the ascent or descent property. These;

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Finite Elements-based Optimization

couple them to effect shape optimization. The optimization part of the book will survey optimization methods and focus on the genetic algorithm;

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Parallel Problem Solving from Nature -- PPSN XIV

optimization: why and how; evolutionary multi-objective optimization; intelligent systems for smart cities; advances on multi-modal optimization;

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Parallel Scientific Computing and Optimization

optimization, management of parallel programming models and data, with the largest focus on parallel scientific computing in industrial applications;

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Optimization of Linear Control Systems

Lyapunov and Riccati equations, polynomial matrix factorization) and illustrates the effectiveness of these algorithms by examples in the field;

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Discrete Convex Analysis

like matrix theory, operations research, and economics. This self-contained book is designed to provide a novel insight into optimization on;

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An Introduction to Optimization

of Introduction to Optimization fills the need for accessible treatment of optimization theory and methods with an emphasis on engineering design. Basic;

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Turbo Message Passing Algorithms for Structured Signal Recovery

This book takes a comprehensive study on turbo message passing algorithms for structured signal recovery, where the considered structured;

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Partitional Clustering via Nonsmooth Optimization

This book describes optimization models of clustering problems and clustering algorithms based on optimization techniques, including their;

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Partitional Clustering via Nonsmooth Optimization

This book describes optimization models of clustering problems and clustering algorithms based on optimization techniques, including their;

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Proceedings of 6th International Conference on Harmony Search Soft Computing an

of jazz musicians to seek the best harmony. The book consists of research articles on novel and newly proposed optimization algorithms; the;

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Models and Algorithms of Time-Dependent Scheduling

advanced topics such as matrix methods in time-dependent scheduling, time-dependent scheduling with two criteria and time-dependent two-agent;

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Models and Algorithms of Time-Dependent Scheduling

advanced topics such as matrix methods in time-dependent scheduling, time-dependent scheduling with two criteria and time-dependent two-agent;

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Dynamic Programming Multi-Objective Combinatorial Optimization

This book introduces a fairly universal approach to the design and analysis of exact optimization algorithms for multi-objective;

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Dynamic Programming Multi-Objective Combinatorial Optimization

This book introduces a fairly universal approach to the design and analysis of exact optimization algorithms for multi-objective;

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Intelligent Control

optimization techniques like Particle swarm optimization (PSO), harmony search (HS) algorithms, covariance matrix adaptation (CMA) etc. can be utilized;

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Polyhedral and Semidefinite Programming Methods in Combinatorial Optimization

the positive semidefiniteness condition on some of the matrix variables. On certain problems, such as maximum cut, maximum satisfiability;

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Algorithms for Variable-Size Optimization

effectiveness of the use of these new algorithms in optimizing systems architectures. The book focuses on systems architecture optimization. It;

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Algorithms for Variable-Size Optimization

effectiveness of the use of these new algorithms in optimizing systems architectures. The book focuses on systems architecture optimization. It;

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New Optimization Algorithms and their Applications

Based Optimization (SDO), and their applications within engineering. These algorithms are based on benchmark functions and typical engineering;

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Advances in Swarm Intelligence, Part I

. The papers are organized in topical sections on theoretical analysis of swarm intelligence algorithms, particle swarm optimization;

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Classical and Evolutionary Algorithms in the Optimization of Optical Systems

Classical and Evolutionary Algorithms in the Optimization of Optical Systems presents research results in the field of classical and;

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Accelerated Optimization for Machine Learning

This book on optimization includes forewords by Michael I. Jordan, Zongben Xu and Zhi-Quan Luo. Machine learning relies heavily on;

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