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Even Convexity and Optimization

convex sets. The book introduces their application to convex optimization. Particular attention is paid to evenly convex polyhedra and finite;

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Even Convexity and Optimization

convex sets. The book introduces their application to convex optimization. Particular attention is paid to evenly convex polyhedra and finite;

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Linear and Convex Optimization

Discover the practical impacts of current methods of optimization with this approachable, one-stop resource Linear and Convex;

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Convex Optimization of Power Systems

Optimization is ubiquitous in power system engineering. Drawing on powerful, modern tools from convex optimization, this rigorous;

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Selected Topics in Convex Geometry

, illustrations, and exercises, with a good bibliography and index Requires only a basic knowledge of geometry, linear algebra, analysis, topology;

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Advancing Parametric Optimization

number of convex quadratic or linear objectives and linear constraints. Applications of these classes of problems are extremely widespread;

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Undergraduate Convexity

introduction to convex sets and convex functions with emphasis on concrete computations and examples.Starting from linear inequalities and Fourier;

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Lectures on Modern Convex Optimization

Here is a book devoted to well-structured and thus efficiently solvable convex optimization problems, with emphasis on conic quadratic and;

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Optimality Conditions in Convex Optimization

Optimality Conditions in Convex Optimization explores an important and central issue in the field of convex optimization: optimality;

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Convex Optimization

This book provides easy access to the basic principles and methods for solving constrained and unconstrained convex optimization problems;

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Convex Optimization for Signal Processing and Communications

Convex Optimization for Signal Processing and Communications: From Fundamentals to Applications provides fundamental background knowledge;

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Convex Optimization for Signal Processing and Communications

Convex Optimization for Signal Processing and Communications: From Fundamentals to Applications provides fundamental background knowledge;

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Selected Applications of Convex Optimization

This book focuses on the applications of convex optimization and highlights several topics, including support vector machines, parameter;

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Convex Optimization Euclidean Distance Geometry 2e

Convex Analysis is an emerging calculus of inequalities while Convex Optimization is its application. Analysis is the domain of the;

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Convex Optimization & Euclidean Distance Geometry

Optimization is the science of making a best choice in the face of conflicting requirements. Any convex optimization problem has geometric;

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Convex Analysis for Optimization

style and including numerous examples and illustrations, it presents everything readers need to know about convexity and convex optimization;

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Convex Analysis for Optimization

style and including numerous examples and illustrations, it presents everything readers need to know about convexity and convex optimization;

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Discrete Convex Analysis

Discrete Convex Analysis is a novel paradigm for discrete optimization that combines the ideas in continuous optimization (convex analysis;

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Operations Research and Optimization

2016, it opens new avenues of research in all topics related to optimization, such as linear and nonlinear optimization; combinatorial;

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An Easy Path to Convex Analysis and Applications

Convex optimization has an increasing impact on many areas of mathematics, applied sciences, and practical applications. It is now being;

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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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Convex Optimization

Convex optimization problems arise frequently in many different fields. This book provides a comprehensive introduction to the subject, and;

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Separable Optimization

of approximating the separable problem by linear programming problem, and dynamic programming are also studied. Convex separable programs subject to;

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Gain Scheduling Pitch Control for Fatigue Load Reduction for Wind Turbines.

) criteria; (3) Nonlinear LPV (Linear Parameter Variant) control design based on convex optimization. Controller input signals in all cases are rotor;

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Nonlinear and Mixed-Integer Optimization

synthesis in chemical engineering. The reader is acquainted with the basics of convex analysis and nonlinear optimization and is introduced to the;

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Australian Mathematical Society Lecture Series

This introduction to optimization emphasizes the need for both a pure and an applied mathematical point of view. Beginning with a chapter;

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