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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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Nonlinear Optimization

and social sciences. Organized into two parts, this book may be used as a primary text for courses on convex optimization and non-convex;

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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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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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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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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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Optimization on Solution Sets of Common Fixed Point Problems

This book is devoted to a detailed study of the subgradient projection method and its variants for convex optimization problems over the;

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Optimization on Solution Sets of Common Fixed Point Problems

This book is devoted to a detailed study of the subgradient projection method and its variants for convex optimization problems over the;

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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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Modeling and Optimization: Theory and Applications

algorithms for solving convex, network, mixed-integer, nonlinear, and global optimization problems, and address the application of deterministic;

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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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Selected Topics in Convex Geometry

Examines in detail those topics in convex geometry that are concerned with Euclidean space Enriched by numerous examples;

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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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Convex Optimization In Signal Processing And Communications

Over the past two decades there have been significant advances in the field of optimization. In particular, convex optimization has emerged;

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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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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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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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Introduction to Online Convex Optimization, second edition

New edition of a graduate-level textbook on that focuses on online convex optimization, a machine learning framework that views;

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Statistical Inference via Convex Optimization

optimization theory can be used to devise and analyze near-optimal statistical inferences. Statistical Inference via Convex Optimization is an;

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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

This textbook offers graduate students a concise introduction to the classic notions of convex optimization. Written in a highly accessible;

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Convex Analysis for Optimization

This textbook offers graduate students a concise introduction to the classic notions of convex optimization. Written in a highly accessible;

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Nonlinear Combinatorial Optimization

methods, primal-dual methods with convex relaxation, submodular optimization, discrete DC program, along with several applications are discussed;

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Nonlinear Combinatorial Optimization

methods, primal-dual methods with convex relaxation, submodular optimization, discrete DC program, along with several applications are discussed;

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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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