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Optimization Theory for Large Syste

Important text examines most significant algorithms for optimizing large systems and clarifying relations between optimization procedures;

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Fast Solution of Discretized Optimization Problems

A collection of articles summarizing the state of knowledge in a large portion of modern homotopy theory. This welcome reference for many;

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Optimization by Vector Space Methods

problem can be realistically formulated and logically analyzed with optimization theory. This book shows engineers how to use optimization theory;

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Modern Optimization Modelling Techniques

networks and develops modern optimization techniques for finding traffic equilibria based on stochastic optimization and game theory.;

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Power System Optimization Large Scale Co

and systematic viewpoint for power system optimization inspired by microeconomics and game theory * A timely and important advanced reference;

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Large Scale Linear and Integer Optimization

linear optimization in a unified manner and then demonstrate how to use this theory in a modern computing environment to solve very large real;

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Large Scale Linear and Integer Optimization

linear optimization in a unified manner and then demonstrate how to use this theory in a modern computing environment to solve very large real;

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Distributed Systems Management

This book provides a strategic and technical perspective on the practices necessary for good distributed systems management for network;

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Engineering Optimization

The classic introduction to engineering optimization theory and practice--now expanded and updated Engineering optimization helps engineers;

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Self-Regularity

framework for the theory of primal-dual IPMs based on the notion of the self-regularity of a function. The authors deal with linear optimization;

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Advanced Data Analytics for Power Systems

learning, big data analytics, graph theory, and game theory, this is an essential resource for graduate students and researchers in academia and;

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Parallel Random Search Algorithm

of the exact solution approaches is impossible due to large computational demands. Initially designed for unconstrained optimization, the variant;

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Multidisciplinary Design Optimization and Its Application in Deep Manned Submers

This book investigates Reliability-based Multidisciplinary Design Optimization (RBMDO) theory and its application in the design of deep;

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Multidisciplinary Design Optimization and Its Application in Deep Manned Submers

This book investigates Reliability-based Multidisciplinary Design Optimization (RBMDO) theory and its application in the design of deep;

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Convex Optimization for Signal Processing and Communications

. In addition to comprehensive proofs and perspective interpretations for core convex optimization theory, this book also provides many insightful;

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Convex Optimization for Signal Processing and Communications

. In addition to comprehensive proofs and perspective interpretations for core convex optimization theory, this book also provides many insightful;

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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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Predictive Modelling for Energy Management and Power Systems Engineering

familiar with advanced optimization techniques for power systems designs, optimization techniques and algorithms for consumer power management, and;

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Optimization of Power System Problems

This book presents integrated optimization methods and algorithms for power system problems along with their codes in MATLAB. Providing a;

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Large scale Graph Analysis System Algorithm and Optimization

This book introduces readers to a workload-aware methodology for large-scale graph algorithm optimization in graph-computing systems, and;

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Large scale Graph Analysis System Algorithm and Optimization

This book introduces readers to a workload-aware methodology for large-scale graph algorithm optimization in graph-computing systems, and;

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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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Advances in Bio-inspired Computing for Combinatorial Optimization Problems

Advances in Bio-inspired Combinatorial Optimization Problems illustrates several recent bio-inspired efficient algorithms for solving NP;

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Optimization and Differentiation

Optimization and Differentiation is an introduction to the application of optimization control theory to systems described by nonlinear;

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Mathematical Methods & Models For Econom

This book is intended as a textbook for a first-year PhD course in mathematics for economists and as a reference for graduate students;

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Global Optimization

elegant account of a refined theory, suitable for researchers and graduate students interested in global optimization and its applications.;

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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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