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: 119670.00 T
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: 92930.00 T
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: 60190.00 T
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.

Автор: Miroslav Bacak
Название: Convex analysis and optimization in Hadamard spaces
ISBN: 3110361639 ISBN-13(EAN): 9783110361636
Издательство: Walter de Gruyter
Цена: 185890.00 T
Наличие на складе: Невозможна поставка.
Описание: This book gives a first systematic account on the subject of convex analysis and optimization in Hadamard spaces. It is primarily aimed at both graduate students and researchers in analysis and optimization.

Автор: Stefan Rockt?schel
Название: A Branch-and-Bound Algorithm for Multiobjective Mixed-integer Convex Optimization
ISBN: 3658291486 ISBN-13(EAN): 9783658291488
Издательство: Springer
Рейтинг:
Цена: 46570.00 T
Наличие на складе: Поставка под заказ.
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: 46570.00 T
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: Moklyachuk Mikhail
Название: Convex Optimization: Introductory Course
ISBN: 1786306832 ISBN-13(EAN): 9781786306838
Издательство: Wiley
Рейтинг:
Цена: 145670.00 T
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: Dhara
Название: Optimality Conditions in Convex Optimization
ISBN: 113811524X ISBN-13(EAN): 9781138115248
Издательство: Taylor&Francis
Рейтинг:
Цена: 81650.00 T
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: Bonnans J Frederic
Название: Convex and Stochastic Optimization
ISBN: 3030149765 ISBN-13(EAN): 9783030149765
Издательство: Springer
Рейтинг:
Цена: 55890.00 T
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: Nicolas Hadjisavvas; Panos M. Pardalos
Название: Advances in Convex Analysis and Global Optimization
ISBN: 146137975X ISBN-13(EAN): 9781461379751
Издательство: Springer
Рейтинг:
Цена: 139750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.

Автор: Zaslavski Alexander J.
Название: The Projected Subgradient Algorithm in Convex Optimization
ISBN: 3030602990 ISBN-13(EAN): 9783030602994
Издательство: Springer
Цена: 46570.00 T
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.

Автор: Sorin-Mihai Grad
Название: Vector Optimization and Monotone Operators via Convex Duality
ISBN: 3319088998 ISBN-13(EAN): 9783319088990
Издательство: Springer
Рейтинг:
Цена: 102480.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book investigates several duality approaches for vector optimization problems, while also comparing them. Special attention is paid to duality for linear vector optimization problems, for which a vector dual that avoids the shortcomings of the classical ones is proposed.