Автор: Baker Kenneth R. Название: Optimization Modeling with Spreadsheets ISBN: 1118937694 ISBN-13(EAN): 9781118937693 Издательство: Wiley Рейтинг: Цена: 15357.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: An accessible introduction to optimization analysis using spreadsheets Updated and revised, Optimization Modeling with Spreadsheets, Third Edition emphasizes model building skills in optimization analysis.
Автор: Rudesindo N??ez-Queija; Jacques Resing Название: Network Control and Optimization ISBN: 3642104053 ISBN-13(EAN): 9783642104053 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Third EuroNF Conference NETCOOP 2009 Eindhoven The Netherlands November 2325 2009 Proceedings. .
Автор: Ravindra K. Ahuja; Rolf H. M?hring; Christos Zarol Название: Robust and Online Large-Scale Optimization ISBN: 3642054641 ISBN-13(EAN): 9783642054648 Издательство: Springer Рейтинг: Цена: 12577.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Scheduled transportation networks give rise to complex and large-scale network optimization problems requiring innovative solution techniques and ideas from mathematical optimization and theoretical computer science. This book features papers on this topic.
Автор: Yang Xin She Название: Nature-Inspired Optimization Algorithms ISBN: 0128100605 ISBN-13(EAN): 9780128100608 Издательство: Elsevier Science Рейтинг: Цена: 12462.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Nature-Inspired Optimization Algorithms provides a systematic introduction to all major nature-inspired algorithms for optimization. The book's unified approach, balancing algorithm introduction, theoretical background and practical implementation, complements extensive literature with well-chosen case studies to illustrate how these algorithms work. Topics include particle swarm optimization, ant and bee algorithms, simulated annealing, cuckoo search, firefly algorithm, bat algorithm, flower algorithm, harmony search, algorithm analysis, constraint handling, hybrid methods, parameter tuning and control, as well as multi-objective optimization. This book can serve as an introductory book for graduates, doctoral students and lecturers in computer science, engineering and natural sciences. It can also serve a source of inspiration for new applications. Researchers and engineers as well as experienced experts will also find it a handy reference.
Автор: Pardalos Название: Machine Learning, Optimization, and Big Data ISBN: 3319514687 ISBN-13(EAN): 9783319514680 Издательство: Springer Рейтинг: Цена: 9224.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes revised selected papers from the Second International Workshop on Machine Learning, Optimization, and Big Data, MOD 2016, held in Volterra, Italy, in August 2016. The 40 papers presented in this volume were carefully reviewed and selected from 97 submissions.
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