Optimality Conditions in Convex Optimization, Dhara, Anulekha
Автор: Hazan, Elad Название: Introduction to online convex optimization, second edition ISBN: 0262046989 ISBN-13(EAN): 9780262046985 Издательство: MIT Press Рейтинг: Цена: 11120.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The Diesel That Did It tells the story of the legendary diesel-electric locomotive, the FT.
Автор: Juditsky Anatoli, Nemirovski Arkadi Название: Statistical Inference Via Convex Optimization ISBN: 0691197296 ISBN-13(EAN): 9780691197296 Издательство: Wiley Рейтинг: Цена: 13939.00 р. Наличие на складе: Поставка под заказ.
Описание:
This authoritative book draws on the latest research to explore the interplay of high-dimensional statistics with optimization. Through an accessible analysis of fundamental problems of hypothesis testing and signal recovery, Anatoli Juditsky and Arkadi Nemirovski show how convex optimization theory can be used to devise and analyze near-optimal statistical inferences.
Statistical Inference via Convex Optimization is an essential resource for optimization specialists who are new to statistics and its applications, and for data scientists who want to improve their optimization methods. Juditsky and Nemirovski provide the first systematic treatment of the statistical techniques that have arisen from advances in the theory of optimization. They focus on four well-known statistical problems--sparse recovery, hypothesis testing, and recovery from indirect observations of both signals and functions of signals--demonstrating how they can be solved more efficiently as convex optimization problems. The emphasis throughout is on achieving the best possible statistical performance. The construction of inference routines and the quantification of their statistical performance are given by efficient computation rather than by analytical derivation typical of more conventional statistical approaches. In addition to being computation-friendly, the methods described in this book enable practitioners to handle numerous situations too difficult for closed analytical form analysis, such as composite hypothesis testing and signal recovery in inverse problems.
Statistical Inference via Convex Optimization features exercises with solutions along with extensive appendixes, making it ideal for use as a graduate text.
Автор: Hazan, Elad Название: Introduction to online convex optimization ISBN: 1680831704 ISBN-13(EAN): 9781680831702 Издательство: Неизвестно Рейтинг: Цена: 22760.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Focuses on optimization as a process. This book is intended to serve as a reference for a self-contained course on online convex optimization and the convex optimization approach to machine learning for the educated graduate student in computer science/electrical engineering/operations research/statistics and related fields.
Описание: Convex Optimization for Signal Processing and Communications: From Fundamentals to Applications provides fundamental background knowledge of convex optimization, while striking a balance between mathematical theory and applications in signal processing and communications. In addition to
Автор: Changho Suh Название: Convex Optimization for Machine Learning ISBN: 1638280525 ISBN-13(EAN): 9781638280521 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 20236.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Provides an introduction to convex optimization, one of the powerful and tractable optimization problems that can be efficiently solved on a computer. The goal is to help develop a sense of what convex optimization is, and how it can be used in a widening array of practical contexts, with a particular emphasis on machine learning.
Автор: Borwein, Jonathan M. Lewis, Adrian S. (university Of Waterloo) Название: Convex analysis and nonlinear optimization ISBN: 1441921273 ISBN-13(EAN): 9781441921277 Издательство: Springer Рейтинг: Цена: 8378.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Optimization is a rich and thriving mathematical discipline, and the underlying theory of current computational optimization techniques grows ever more sophisticated. This new edition adds material on semismooth optimization, as well as several new proofs.
Автор: Miroslav Bacak Название: Convex analysis and optimization in Hadamard spaces ISBN: 3110361035 ISBN-13(EAN): 9783110361032 Издательство: Walter de Gruyter Рейтинг: Цена: 20446.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In the past two decades, convex analysis and optimization have been developed in Hadamard spaces. This book represents a first attempt to give a systematic account on the subject. Hadamard spaces are complete geodesic spaces of nonpositive curvature. They include Hilbert spaces, Hadamard manifolds, Euclidean buildings and many other important spaces. While the role of Hadamard spaces in geometry and geometric group theory has been studied for a long time, first analytical results appeared as late as in the 1990s. Remarkably, it turns out that Hadamard spaces are appropriate for the theory of convex sets and convex functions outside of linear spaces. Since convexity underpins a large number of results in the geometry of Hadamard spaces, we believe that its systematic study is of substantial interest. Optimization methods then address various computational issues and provide us with approximation algorithms which may be useful in sciences and engineering. We present a detailed description of such an application to computational phylogenetics. The book is primarily aimed at both graduate students and researchers in analysis and optimization, but it is accessible to advanced undergraduate students as well.
Название: Selected Applications of Convex Optimization ISBN: 3662463555 ISBN-13(EAN): 9783662463550 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book focuses on the applications of convex optimization and highlights several topics, including support vector machines, parameter estimation, norm approximation and regularization, semi-definite programming problems, convex relaxation, and geometric problems.
Автор: Hernandez-Lerma Название: Discrete-Time Markov Control Processes ISBN: 0387945792 ISBN-13(EAN): 9780387945798 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This text provides a unified treatment of some recent theoretical developments on Markov control processes. Interest is mainly confined to MCPs with Borel state and control spaces, and possibly unbound costs and non-compact control constraint sets.
Название: Pareto optimality, game theory and equilibria ISBN: 0387772464 ISBN-13(EAN): 9780387772462 Издательство: Springer Рейтинг: Цена: 32004.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This comprehensive work examines important recent developments and modern applications in the fields of optimization, control, game theory and equilibrium programming. The book consists of 29 survey chapters written by distinguished researchers.
Описание: This examination of shape and layout optimation for structural design problems also describes new optimality criteria methods which are capable of handling many thousands of design variables and active design constraints.
Автор: M. Save; W. Prager Название: Structural Optimization ISBN: 1461579236 ISBN-13(EAN): 9781461579236 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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