Автор: Renata Mansini; W?odzimierz Ogryczak; M. Grazia Sp Название: Linear and Mixed Integer Programming for Portfolio Optimization ISBN: 3319184814 ISBN-13(EAN): 9783319184814 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: It introduces different linear models, arising from different performance measures, and the mixed integer linear models resulting from the introduction of real features. Other linear models, such as models for portfolio rebalancing and index tracking, are also covered.
Автор: Miroslav Fiedler; Josef Nedoma; Jaroslav Ramik; Ji Название: Linear Optimization Problems with Inexact Data ISBN: 1441940944 ISBN-13(EAN): 9781441940940 Издательство: Springer Рейтинг: Цена: 13275.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Linear programming has attracted the interest of mathematicians since World War II when the first computers were constructed. This book presents a comprehensive treatment of linear optimization with inexact data, summarizing existing results and presenting new ones within a unifying framework.
Автор: Manfred Padberg Название: Linear Optimization and Extensions ISBN: 3642085113 ISBN-13(EAN): 9783642085116 Издательство: Springer Рейтинг: Цена: 16764.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: From the reviews: "Do you know M.Padberg`s Linear Optimization and Extensions? [...] Now here is the continuation of it, discussing the solutions of all its exercises and with detailed analysis of the applications mentioned. [...] For those who strive for good exercises and case studies for LP this is an excellent volume."
Автор: Singer Название: Linear Optimization for Business ISBN: 113849173X ISBN-13(EAN): 9781138491731 Издательство: Taylor&Francis Рейтинг: Цена: 29093.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book takes a unique approach to linear optimization by focusing on the underlying principles and business applications of a topic more often taught from a mathematical and computational perspective.
Автор: Renata Mansini; W?odzimierz Ogryczak; M. Grazia Sp Название: Linear and Mixed Integer Programming for Portfolio Optimization ISBN: 3319386212 ISBN-13(EAN): 9783319386218 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: It introduces different linear models, arising from different performance measures, and the mixed integer linear models resulting from the introduction of real features. Other linear models, such as models for portfolio rebalancing and index tracking, are also covered.
Автор: Calafiore Название: Optimization Models ISBN: 1107050871 ISBN-13(EAN): 9781107050877 Издательство: Cambridge Academ Рейтинг: Цена: 10454.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Emphasizing practical understanding over the technicalities of specific algorithms, this elegant textbook teaches students how to recognize, simplify, model and solve optimization problems - and apply these basic principles to their own projects. Accompanied by an online solution manual, accessible only to instructors.
Автор: Cottle, Richard W. Thapa, Mukund N. Название: Linear and nonlinear optimization ISBN: 1493970534 ISBN-13(EAN): 9781493970537 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This textbook on Linear and Nonlinear Optimization is intended for graduate and advanced undergraduate students in operations research and related fields.
Описание: This book takes in some of the latest mathematical applications derived from Newtonian law. It explains the mechanical method for determining matrix singularity or non-independence of dimension and complexity, and includes new approaches to standard problems.
Автор: Omid Bozorg-Haddad Название: Advanced Optimization by Nature-Inspired Algorithms ISBN: 9811052204 ISBN-13(EAN): 9789811052200 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book, compiles, presents, and explains the most important meta-heuristic and evolutionary optimization algorithms whose successful performance has been proven in different fields of engineering, and it includes application of these algorithms to important engineering optimization problems. In addition, this book guides readers to studies that have implemented these algorithms by providing a literature review on developments and applications of each algorithm. This book is intended for students, but can be used by researchers and professionals in the area of engineering optimization.
Автор: Snyman, Jan A, Wilke, Daniel N Название: Practical Mathematical Optimization ISBN: 3319775855 ISBN-13(EAN): 9783319775852 Издательство: Springer Рейтинг: Цена: 11179.00 р. Наличие на складе: Поставка под заказ.
Описание: This book presents basic optimization principles and gradient-based algorithms to a general audience, in a brief and easy-to-read form. It enables professionals to apply optimization theory to engineering, physics, chemistry, or business economics.
Автор: Sorin-Mihai Grad Название: Vector Optimization and Monotone Operators via Convex Duality ISBN: 3319088998 ISBN-13(EAN): 9783319088990 Издательство: Springer Рейтинг: Цена: 15372.00 р. 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.
Автор: David A. Pelta; Carlos Cruz Corona Название: Soft Computing Based Optimization and Decision Models ISBN: 3319642855 ISBN-13(EAN): 9783319642857 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book offers a timely snapshot of current soft-computing research and solutions to decision-making and optimization problems, which are ubiquitous in the current social and technological context, addressing fields including logistics, transportation and data analysis.
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