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Large-Scale Optimization with Applications: Part II

With contributions by specialists in optimization and practitioners in the fields of aerospace engineering, chemical engineering, and fluid;

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Optimization and Control for Systems in the Big-Data Era

parts. Part I offers reviews on optimization and control theories, and Part II examines the optimization and control applications. Part III;

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Large-Scale Scientific Computing

invited talks. The papers were organized in topical sections named as follows: control and optimization of dynamical systems; meshfree and;

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Adaptive Stochastic Optimization Techniques with Applications

Adaptive Stochastic Optimization Techniques with Applications provides a single, convenient source for state-of-the-art information on;

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Optimization in Renewable Energy Systems

> This self-contained book begins with an introduction to optimization, then covers a wide range of applications in both large and small scale;

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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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Nonlinear Conjugate Gradient Methods for Unconstrained Optimization

of conjugate gradient algorithms for solving a collection of 800 unconstrained optimization problems of different structures and complexities with the;

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Nonlinear Conjugate Gradient Methods for Unconstrained Optimization

of conjugate gradient algorithms for solving a collection of 800 unconstrained optimization problems of different structures and complexities with the;

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Tensor Networks for Dimensionality Reduction and Large-scale Optimization

, and structural richness. However, standard machine learning and data mining algorithms typically scale exponentially with data volume and;

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Parallel Random Search Algorithm

probabilities method allows us to find the approximate solution of pseudo-Boolean optimization problems with constraints. Although, in case of the large;

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Large Scale Linear and Integer Optimization

world problems. After presenting introductory material in Part I, Part II of this book is de voted to the theory of linear and integer linear;

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Large Scale Linear and Integer Optimization

world problems. After presenting introductory material in Part I, Part II of this book is de voted to the theory of linear and integer linear;

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Continuous Nonlinear Optimization for Engineering Applications in GAMS Technolog

solving complex, large-scale, continuous nonlinear optimization problems or applications. Beginning with an overview of constrained nonlinear;

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Continuous Nonlinear Optimization for Engineering Applications in GAMS Technology

solving complex, large-scale, continuous nonlinear optimization problems or applications. Beginning with an overview of constrained nonlinear;

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Advances in Swarm Intelligence

; and firefly algorithm. Part II: multi-objective optimization; portfolio optimization; community detection; multi-agent systems and swarm;

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Advances in Swarm Intelligence

; and firefly algorithm. Part II: multi-objective optimization; portfolio optimization; community detection; multi-agent systems and swarm;

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Digital Microfluidic Biochips

integration, and defect tolerance. Part I describes a unified design methodology that targets design optimization under resource constraints. Part II;

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Large-Scale Inverse Problems and Quantification of Uncertainty

Bayesian and frequentist methodologies. Recent research advances for approximation methods are discussed, along with Kalman filtering methods and;

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Evolutionary Multi-Criterion Optimization

This book constitutes the refereed proceedings of the 9th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2017;

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Combinatorial Scientific Computing

optimization, algorithmic differentiation of numerical simulation code, sparse matrix software tools, and combinatorial challenges and applications;

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Combinatorial Scientific Computing

optimization, algorithmic differentiation of numerical simulation code, sparse matrix software tools, and combinatorial challenges and applications;

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Optimization, Learning, and Control for Interdependent Complex Networks

of efficient theoretical optimization and learning methods in dealing with emerging problems in the context of interdependent networks;

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Advances in High Performance Computing

to efficiently implement large-scale computational tasks on powerful supercomputers unthinkable without optimization. We try to minimize our;

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Large-Scale Simulation

journals. The first part of the book presents the fundamentals of large-scale simulation, including high-level architecture and runtime;

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Large-Scale Simulation

journals. The first part of the book presents the fundamentals of large-scale simulation, including high-level architecture and runtime;

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Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems

Programming for Combinatorial Optimization Problems, CPAIOR 2009, held in Pittsburgh, PA, USA, in May 2009. The 20 revised full papers and 10 extended;

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Cost Optimization Of Structures

While the weight of a structure constitutes a significant part of the cost, a minimum weight design is not necessarily the minimum cost;

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