Optimization of Temporal Networks under Uncertainty, Wolfram Wiesemann
Автор: Sundaram, Rangarajan K. Название: A First Course in Optimization Theory ISBN: 0521497701 ISBN-13(EAN): 9780521497701 Издательство: Cambridge Academ Рейтинг: Цена: 6811.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book, first published in 1996, introduces students to optimization theory and its use in economics and allied disciplines.
Описание: Editors aim to offer a bibliographic reference on the topic, enabling interested readers to learn about the state-of-the-art in this research area, also accounting for potential real-world applications to improve also the state-of-the-practice.
Автор: Alexander Martin; Kathrin Klamroth; Jens Lang; G?n Название: Mathematical Optimization of Water Networks ISBN: 3034807856 ISBN-13(EAN): 9783034807852 Издательство: Springer Рейтинг: Цена: 12577.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book connects mathematics with civil engineering, applying complex modeling to support optimal decisions in water management. Covers mixed-integer optimization, multi-objective and facility location optimization, as well as control of hybrid systems.
Описание: Communication has became one of the most dynamical branches of an infrastructure of a modern society. This book contains a unique approach to define the effectiveness of various access strategies depending on real load of different type of calls.
Описание: Chapter two is dedicated to infinite horizon stochastic discrete optimal control models and Markov decision problems with average and expected total discounted optimization criteria, while Chapter three develops a special game-theoretical approach to Markov decision processes and stochastic discrete optimal control problems.
Описание: With the goal of alleviating the paucity of knowledge about advanced dementia, and helping to improve the care and services that are increasingly needed for the growing numbers of people living with dementia-type diseases, this book provides evidence-based measurement scales for use by researchers and care providers who are seeking to improve our understanding of the final stages of this disease.
Описание: This book presents recent advances on the design of intelligent systems based on fuzzy logic, neural networks and nature-inspired optimization and their application in areas such as, intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems.
Описание: This book introduces methods of robust optimization in multivariateadaptive regression splines (MARS) and Conic MARS in order to handleuncertainty and non-linearity.
Описание: It presents recent and pressing issues in stochastic processes, control theory, differential games, optimization, and their applications in finance, manufacturing, queueing networks, and climate control. The book is dedicated to Professor Suresh Sethi on the occasion of his 60th birthday, in view of his distinguished career.
Описание: This book presents recent advances on the design of intelligent systems based on fuzzy logic, neural networks and nature-inspired optimization and their application in areas such as, intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems.
Описание: Chapter two is dedicated to infinite horizon stochastic discrete optimal control models and Markov decision problems with average and expected total discounted optimization criteria, while Chapter three develops a special game-theoretical approach to Markov decision processes and stochastic discrete optimal control problems.
Автор: Xiang-Sun Zhang Название: Neural Networks in Optimization ISBN: 1441948368 ISBN-13(EAN): 9781441948366 Издательство: Springer Рейтинг: Цена: 19589.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: We not only anticipate that there will be neural computers with intelligence but we also believe that the research results of artificial neural networks might lead to new algorithms on von Neumann`s computers.
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