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Handbook of Convex Optimization Methods in Imaging Science

This book covers recent advances in image processing and imaging sciences from an optimization viewpoint, especially convex optimization;

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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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Lectures on Convex Optimization

This book provides a comprehensive, modern introduction to convex optimization, a field that is becoming increasingly important in applied;

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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

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

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Scale Space and Variational Methods in Computer Vision

Reconstruction; Segmentation; Convex and Non-Convex Modeling and Optimization in Imaging; Optical Flow, Motion Estimation and Registration; 3D Vision.;

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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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Computational Methods for Inverse Problems in Imaging

significant features of the image. The book describes computational methods to efficiently address these problems based on new optimization algorithms;

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Computational Methods for Inverse Problems in Imaging

significant features of the image. The book describes computational methods to efficiently address these problems based on new optimization algorithms;

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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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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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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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Optimization for Data Analysis

Optimization techniques are at the core of data science, including data analysis and machine learning. An understanding of basic;

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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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Applied Iterative Methods

algorithms. It is the first book to combine subjects such as optimization, convex analysis, and approximation theory and organize them around a;

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Applied Iterative Methods

algorithms. It is the first book to combine subjects such as optimization, convex analysis, and approximation theory and organize them around a;

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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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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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Separable Optimization

for a special topics course or as a supplementary textbook for graduate courses on nonlinear and convex optimization.;

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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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Classical And Modern Optimization

The quest for the optimal is ubiquitous in nature and human behavior. The field of mathematical optimization has a long history and remains;

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Classical And Modern Optimization

The quest for the optimal is ubiquitous in nature and human behavior. The field of mathematical optimization has a long history and remains;

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A Mathematical View of Interior-point Methods in Convex Optimization

of the theory and emphasizing the underlying geometry, A Mathematical View of Interior-Point Methods in Convex Optimization makes the theory;

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Optimization for Machine Learning

An up-to-date account of the interplay between optimization and machine learning, accessible to students and researchers in both;

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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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