Контакты/Проезд  Доставка и Оплата Помощь/Возврат
История
  +7(495) 980-12-10
  пн-пт: 10-18 сб,вс: 11-18
  shop@logobook.ru
   
    Поиск книг                    Поиск по списку ISBN Расширенный поиск    
Найти
  Зарубежные издательства Российские издательства  
Авторы | Каталог книг | Издательства | Новинки | Учебная литература | Акции | Хиты | |
 

Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining, Hassan AbouEisha; Talha Amin; Igor Chikalov; Shahi


Варианты приобретения
Цена: 19564.00р.
Кол-во:
Наличие: Поставка под заказ.  Есть в наличии на складе поставщика.
Склад Америка: Есть  
При оформлении заказа до: 2025-07-28
Ориентировочная дата поставки: Август-начало Сентября
При условии наличия книги у поставщика.

Добавить в корзину
в Мои желания

Автор: Hassan AbouEisha; Talha Amin; Igor Chikalov; Shahi
Название:  Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining
ISBN: 9783030063092
Издательство: Springer
Классификация:
ISBN-10: 3030063097
Обложка/Формат: Soft cover
Страницы: 280
Вес: 0.46 кг.
Дата издания: 2019
Серия: Intelligent Systems Reference Library
Язык: English
Издание: Softcover reprint of
Иллюстрации: 100 tables, color; 3 illustrations, color; 69 illustrations, black and white; xvi, 280 p. 72 illus., 3 illus. in color.
Размер: 234 x 156 x 16
Читательская аудитория: General (us: trade)
Основная тема: Engineering
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: Dynamic programming is an efficient technique for solving optimization problems. It is based on breaking the initial problem down into simpler ones and solving these sub-problems, beginning with the simplest ones. A conventional dynamic programming algorithm returns an optimal object from a given set of objects. This book develops extensions of dynamic programming, enabling us to (i) describe the set of objects under consideration; (ii) perform a multi-stage optimization of objects relative to different criteria; (iii) count the number of optimal objects; (iv) find the set of Pareto optimal points for bi-criteria optimization problems; and (v) to study relationships between two criteria. It considers various applications, including optimization of decision trees and decision rule systems as algorithms for problem solving, as ways for knowledge representation, and as classifiers; optimization of element partition trees for rectangular meshes, which are used in finite element methods for solving PDEs; and multi-stage optimization for such classic combinatorial optimization problems as matrix chain multiplication, binary search trees, global sequence alignment, and shortest paths. The results presented are useful for researchers in combinatorial optimization, data mining, knowledge discovery, machine learning, and finite element methods, especially those working in rough set theory, test theory, logical analysis of data, and PDE solvers. This book can be used as the basis for graduate courses.
Дополнительное описание: Introduction.- Tools for Study of Pareto Optimal Points.- Some Tools for Decision Tables.- Different Kinds of Decision Trees.- Multi-stage Optimization of Decision Trees with Some Applications.- More Applications of Multi-stage Optimizationof Decision Tre



Extensions of Logic Programming

Автор: Peter Schroeder-Heister
Название: Extensions of Logic Programming
ISBN: 354053590X ISBN-13(EAN): 9783540535904
Издательство: Springer
Рейтинг:
Цена: 11179.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This volume contains papers presented at an international workshop. It gives an overview of various approaches to extending logic programming, concentrating on proof-theoretic extensions developed recently, which put a new emphasis on hypothetical reasoning.

Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems

Автор: Willem-Jan van Hoeve; Elvin Coban
Название: Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems
ISBN: 3642019285 ISBN-13(EAN): 9783642019289
Издательство: Springer
Рейтинг:
Цена: 9781.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Constitutes the refereed proceedings of the 6th International Conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, CPAIOR 2009, held in Pittsburgh, PA, USA, in May 2009.

Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems

Автор: Andrea Lodi; Michela Milano; Paolo Toth
Название: Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems
ISBN: 3642135196 ISBN-13(EAN): 9783642135194
Издательство: Springer
Рейтинг:
Цена: 10480.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Constitutes the refereed proceedings of the 7th International Conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, CPAIOR 2010, held in Bologna, Italy, in June 2010.

AI for Data Science: Artificial Intelligence Frameworks and Functionality for Deep Learning, Optimization, and Beyond

Автор: Zacharias Voulgaris, Yunus Bulut
Название: AI for Data Science: Artificial Intelligence Frameworks and Functionality for Deep Learning, Optimization, and Beyond
ISBN: 1634624092 ISBN-13(EAN): 9781634624091
Издательство: Gazelle Book Services
Рейтинг:
Цена: 12224.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Master the approaches and principles of Artificial Intelligence (AI) algorithms, and apply them to Data Science projects with Python and Julia code.

Advances in Bio-inspired Computing for Combinatorial Optimization Problems

Автор: Camelia-Mihaela Pintea
Название: Advances in Bio-inspired Computing for Combinatorial Optimization Problems
ISBN: 3642438776 ISBN-13(EAN): 9783642438776
Издательство: Springer
Рейтинг:
Цена: 14365.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book illustrates recent bio-inspired efficient algorithms for solving NP-hard problems. Discusses theoretical bio-inspired concepts and models, in particular for agents, ants and virtual robots, variations of the Traveling Salesman Problem and more.

Advances in Bio-inspired Computing for Combinatorial Optimization Problems

Автор: Camelia-Mihaela Pintea
Название: Advances in Bio-inspired Computing for Combinatorial Optimization Problems
ISBN: 3642401783 ISBN-13(EAN): 9783642401787
Издательство: Springer
Рейтинг:
Цена: 19564.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book illustrates recent bio-inspired efficient algorithms for solving NP-hard problems. Discusses theoretical bio-inspired concepts and models, in particular for agents, ants and virtual robots, variations of the Traveling Salesman Problem and more.

Evolutionary Computation in Combinatorial Optimization

Автор: Liefooghe
Название: Evolutionary Computation in Combinatorial Optimization
ISBN: 3319774484 ISBN-13(EAN): 9783319774480
Издательство: Springer
Рейтинг:
Цена: 6986.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Bioinspired Computation in Combinatorial Optimization

Автор: Frank Neumann; Carsten Witt
Название: Bioinspired Computation in Combinatorial Optimization
ISBN: 3642265847 ISBN-13(EAN): 9783642265846
Издательство: Springer
Рейтинг:
Цена: 6986.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book shows how runtime behavior can be analyzed in a rigorous way and for combinatorial optimization in particular. It presents well-known problems such as minimum spanning trees, shortest paths, maximum matching, and covering and scheduling problems.

Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining

Автор: AbouEisha
Название: Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining
ISBN: 3319918389 ISBN-13(EAN): 9783319918389
Издательство: Springer
Рейтинг:
Цена: 13974.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Dynamic programming is an efficient technique for solving optimization problems. and multi-stage optimization for such classic combinatorial optimization problems as matrix chain multiplication, binary search trees, global sequence alignment, and shortest paths.

Dynamic Fuzzy Machine Learning

Автор: Li, Fanzhang / Zhang, Li / Zhang, Zhao
Название: Dynamic Fuzzy Machine Learning
ISBN: 3110518708 ISBN-13(EAN): 9783110518702
Издательство: Walter de Gruyter
Рейтинг:
Цена: 22439.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Machine learning is widely used for data analysis. Dynamic fuzzy data are one of the most difficult types of data to analyse in the field of big data, cloud computing, the Internet of Things, and quantum information. At present, the processing of this kind of data is not very mature. The authors carried out more than 20 years of research, and show in this book their most important results. The seven chapters of the book are devoted to key topics such as dynamic fuzzy machine learning models, dynamic fuzzy self-learning subspace algorithms, fuzzy decision tree learning, dynamic concepts based on dynamic fuzzy sets, semi-supervised multi-task learning based on dynamic fuzzy data, dynamic fuzzy hierarchy learning, examination of multi-agent learning model based on dynamic fuzzy logic. This book can be used as a reference book for senior college students and graduate students as well as college teachers and scientific and technical personnel involved in computer science, artificial intelligence, machine learning, automation, data analysis, mathematics, management, cognitive science, and finance. It can be also used as the basis for teaching the principles of dynamic fuzzy learning.

Evolutionary Computation in Combinatorial Optimization

Автор: Arnaud Liefooghe; Lu?s Paquete
Название: Evolutionary Computation in Combinatorial Optimization
ISBN: 3030167100 ISBN-13(EAN): 9783030167103
Издательство: Springer
Рейтинг:
Цена: 6986.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book constitutes the refereed proceedings of the 19th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2019, held as part of Evo* 2019, in Leipzig, Germany, in April 2019, co-located with the Evo* 2019 events EuroGP, EvoMUSART and EvoApplications.The 14 revised full papers presented were carefully reviewed and selected from 37 submissions. The papers cover a wide spectrum of topics, ranging from the foundations of evolutionary computation algorithms and other search heuristics to their accurate design and application to both single- and multi-objective combinatorial optimization problems. Fundamental and methodological aspects deal with runtime analysis, the structural properties of fitness landscapes, the study of metaheuristics core components, the clever design of their search principles, and their careful selection and configuration. Applications cover domains such as scheduling, routing, partitioning and general graph problems.


ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
   В Контакте     В Контакте Мед  Мобильная версия