Convex Optimization with Computational Errors, Zaslavski Alexander J.
Автор: Stephen Boyd Название: Convex Optimization ISBN: 0521833787 ISBN-13(EAN): 9780521833783 Издательство: Cambridge Academ Рейтинг: Цена: 17950.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The focus of this book is on recognizing convex optimization problems and then finding the most appropriate technique for solving them. It contains many worked examples and homework exercises and will appeal to students, researchers and practitioners in fields such as engineering, computer science, mathematics, statistics, finance and economics.
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: Arora, Sanjeev Barak, Boaz Название: Computational complexity ISBN: 0521424267 ISBN-13(EAN): 9780521424264 Издательство: Cambridge Academ Рейтинг: Цена: 9029.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Describes recent achievements and classical results of computational complexity theory, including interactive proofs, PCP, derandomization, and quantum computation. It can be used as a reference, for self-study, or as a beginning graduate textbook. More than 300 exercises are included.
Описание: Stefan Rocktaschel introduces a branch-and-bound algorithm that determines a cover of the efficient set of multiobjective mixed-integer convex optimization problems. He examines particular steps of this algorithm in detail and enhances the basic algorithm with additional modifications that ensure a more precise cover of the efficient set.
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: Joshua Adam Taylor Название: Convex Optimization of Power Systems ISBN: 1107076870 ISBN-13(EAN): 9781107076877 Издательство: Cambridge Academ Рейтинг: Цена: 12038.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This mathematically rigorous guide to convex optimization for power systems engineering includes convex models for a variety of real-world applications, and a selection of problems and practical examples. An invaluable resource for students and researchers from industry and academia in power systems, optimization, and control.
Автор: Bonnans J Frederic Название: Convex and Stochastic Optimization ISBN: 3030149765 ISBN-13(EAN): 9783030149765 Издательство: Springer Рейтинг: Цена: 8384.00 р. Наличие на складе: Поставка под заказ.
Описание: This textbook provides an introduction to convex duality for optimization problems in Banach spaces, integration theory, and their application to stochastic programming problems in a static or dynamic setting. It introduces and analyses the main algorithms for stochastic programs, while the theoretical aspects are carefully dealt with.The reader is shown how these tools can be applied to various fields, including approximation theory, semidefinite and second-order cone programming and linear decision rules.This textbook is recommended for students, engineers and researchers who are willing to take a rigorous approach to the mathematics involved in the application of duality theory to optimization with uncertainty.
Автор: Moklyachuk Mikhail Название: Convex Optimization: Introductory Course ISBN: 1786306832 ISBN-13(EAN): 9781786306838 Издательство: Wiley Рейтинг: Цена: 21851.00 р. Наличие на складе: Поставка под заказ.
Описание: Forced into the underground by an oppressive global government, a brilliant engineer, Slade, has secretly developed the most revolutionary biotechnology mankind has ever known...but when he and his wife are brutally murdered, a vicious liaison of a hellish dimension tears Slade across space and time, damning him to a dark netherworld. Fooled into bartering his scientific knowledge for a second chance at life, Slade is forced to use that technology to survive his resurrection. Now, more a demonic machine than man, Slade must journey through the wilderness of the hell dimension in an unlikely alliance with demons. As he hones his skills to exact his revenge, he learns that the stakes are higher than he ever anticipated - he must prevent apocalypse at the hands of his power-hungry captor from the netherworld, whose traitorous plot supersedes even the evil designs of Hell`s rulers. The ultimate conflict explodes through the fabric of both dimensions. As man and demon spill blood and evil closes in from every quarter, can Slade learn to use his newfound strength, and hatred, to destroy his nemesis? In the midst of fighting for his life in the wilds of an alien dimension, Slade experiences revelations that throw into question everything that he thought he knew, thought he believed...thought he was. With his entire reality thrown into upheaval and the countdown to apocalypse looming, can Slade regain control of his shattered mind and altered body in time to find the truth and overcome the forces of destruction?
Автор: Nicolas Hadjisavvas; Panos M. Pardalos Название: Advances in Convex Analysis and Global Optimization ISBN: 146137975X ISBN-13(EAN): 9781461379751 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Dhara Название: Optimality Conditions in Convex Optimization ISBN: 113811524X ISBN-13(EAN): 9781138115248 Издательство: Taylor&Francis Рейтинг: Цена: 12248.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book explores an extremely important issue in convex optimization: optimality conditions. The text focuses on finite dimensions to allow for much deeper results and a better understanding of the structures involved in a convex optimization problem. The authors include examples, details of major results, and proofs of the main results.
Автор: Pardalos Panos M., Zilinskas Antanas, Zilinskas Julius Название: Non-Convex Multi-Objective Optimization ISBN: 3319869817 ISBN-13(EAN): 9783319869810 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Recent results on non-convex multi-objective optimization problems and methods are presented in this book, with particular attention to expensive black-box objective functions.
Автор: Zaslavski Alexander J. Название: The Projected Subgradient Algorithm in Convex Optimization ISBN: 3030602990 ISBN-13(EAN): 9783030602994 Издательство: Springer Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The discussion takes into consideration the fact that for every algorithm its iteration consists of several steps and that computational errors for different steps are different, in general.
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