Mathematical Optimization Theory and Operations Research, Igor Bykadorov; Vitaly Strusevich; Tatiana Tchemis
Автор: Strang Gilbert Название: Linear Algebra and Learning from Data ISBN: 0692196382 ISBN-13(EAN): 9780692196380 Издательство: Cambridge Academ Рейтинг: Цена: 9978.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Linear algebra and the foundations of deep learning, together at last! From Professor Gilbert Strang, acclaimed author of Introduction to Linear Algebra, comes Linear Algebra and Learning from Data, the first textbook that teaches linear algebra together with deep learning and neural nets. This readable yet rigorous textbook contains a complete course in the linear algebra and related mathematics that students need to know to get to grips with learning from data. Included are: the four fundamental subspaces, singular value decompositions, special matrices, large matrix computation techniques, compressed sensing, probability and statistics, optimization, the architecture of neural nets, stochastic gradient descent and backpropagation.
Описание: Provides a high-level understanding of various machine learning algorithms along with modern tools and techniques using Artificial Intelligence. In addition, the book explores the critical role that machine learning plays in a variety of professional fields including healthcare, business, and computer science.
Автор: Ana Paula Ferreira Dias Barbosa P?voa; Joao Luis d Название: Operations Research and Big Data ISBN: 3319373463 ISBN-13(EAN): 9783319373461 Издательство: Springer Рейтинг: Цена: 14365.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A model to minimize costs and promote species persistence under climate change.- A Fix-and-Relax algorithm for solving parallel and sequential versions of a multi-period multi- product closed loop supply chain design and operation planning model.- Efficiency in Increasing Returns of Scale Frontier.- Modeling inter-sector health policy options and health gains in a long-term care network: a location-allocation stochastic planning approach.- Optimization of construction and demolition waste management: Application to the Lisbon Metropolitan Area.
Автор: Michael Khachay; Yury Kochetov; Panos Pardalos Название: Mathematical Optimization Theory and Operations Research ISBN: 303022628X ISBN-13(EAN): 9783030226282 Издательство: Springer Рейтинг: Цена: 12577.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the proceedings of the 18th International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2019, held in Ekaterinburg, Russia, in July 2019.The 48 full papers presented in this volume were carefully reviewed and selected from 170 submissions. MOTOR 2019 is a successor of the well-known International and All-Russian conference series, which were organized in Ural, Siberia, and the Far East for a long time. The selected papers are organized in the following topical sections: mathematical programming; bi-level optimization; integer programming; combinatorial optimization; optimal control and approximation; data mining and computational geometry; games and mathematical economics.
Автор: Kochetov Название: Discrete Optimization and Operations Research ISBN: 3319449133 ISBN-13(EAN): 9783319449135 Издательство: Springer Рейтинг: Цена: 10342.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the proceedings of the 9th International Conference on Discrete Optimization and Operations Research, DOOR 2016, held in Vladivostok, Russia, in September 2016. The 39 full papers presented in this volume were carefully reviewed and selected from 181 submissions.
Автор: Arora Rajesh Kumar Название: Optimization: Algorithms and Applications ISBN: 1498721125 ISBN-13(EAN): 9781498721127 Издательство: Taylor&Francis Рейтинг: Цена: 29093.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Choose the Correct Solution Method for Your Optimization Problem
Optimization: Algorithms and Applications presents a variety of solution techniques for optimization problems, emphasizing concepts rather than rigorous mathematical details and proofs.
The book covers both gradient and stochastic methods as solution techniques for unconstrained and constrained optimization problems. It discusses the conjugate gradient method, Broyden-Fletcher-Goldfarb-Shanno algorithm, Powell method, penalty function, augmented Lagrange multiplier method, sequential quadratic programming, method of feasible directions, genetic algorithms, particle swarm optimization (PSO), simulated annealing, ant colony optimization, and tabu search methods. The author shows how to solve non-convex multi-objective optimization problems using simple modifications of the basic PSO code. The book also introduces multidisciplinary design optimization (MDO) architectures--one of the first optimization books to do so--and develops software codes for the simplex method and affine-scaling interior point method for solving linear programming problems. In addition, it examines Gomory's cutting plane method, the branch-and-bound method, and Balas' algorithm for integer programming problems.
The author follows a step-by-step approach to developing the MATLAB(R) codes from the algorithms. He then applies the codes to solve both standard functions taken from the literature and real-world applications, including a complex trajectory design problem of a robot, a portfolio optimization problem, and a multi-objective shape optimization problem of a reentry body. This hands-on approach improves your understanding and confidence in handling different solution methods. The MATLAB codes are available on the book's CRC Press web page.
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: Tor Lattimore, Csaba Szepesvari Название: Bandit Algorithms ISBN: 1108486827 ISBN-13(EAN): 9781108486828 Издательство: Cambridge Academ Рейтинг: Цена: 6970.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Decision-making in the face of uncertainty is a challenge in machine learning, and the multi-armed bandit model is a common framework to address it. This comprehensive introduction is an excellent reference for established researchers and a resource for graduate students interested in exploring stochastic, adversarial and Bayesian frameworks.
Описание: Throughout time, scientists have looked to nature in order to understand and model solutions for complex real-world problems. In particular, the study of self-organizing entities, such as social insect populations, presents a new opportunity within the field of artificial intelligence.>Emerging Research on Swarm Intelligence and Algorithm Optimization discusses current research analyzing how the collective behavior of decentralized systems in the natural world can be applied to intelligent system design. Discussing the application of swarm principles, optimization techniques, and key algorithms being used in the field, this publication serves as an essential reference for academicians, upper-level students, IT developers, and IT theorists.
Автор: John W. Chinneck; Bjarni Kristjansson; Matthew J. Название: Operations Research and Cyber-Infrastructure ISBN: 1441947027 ISBN-13(EAN): 9781441947024 Издательство: Springer Рейтинг: Цена: 32004.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Operations Research and Cyber-Infrastructure is the companion volume to the Eleventh INFORMS Computing Society Conference (ICS 2009), held in Charleston, South Carolina, from January 11 to 13, 2009.
Автор: Domschke, Wolfgang Drexl, Andreas Klein, Robert (u Of Kansas Medical Ctr) Scholl, Armin Название: Einfuhrung in operations research ISBN: 3662482150 ISBN-13(EAN): 9783662482155 Издательство: Неизвестно Рейтинг: Цена: 8274.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Didaktisch effektives und effizientes Standardwerk in der 9. Auflage: Dieses Buch entstand aus Vorlesungen zur Einf hrung in Operations Research (OR) f r Studierende der Betriebs- und Volkswirtschaftslehre, des Wirtschaftsingenieurwesens, der Wirtschaftsinformatik und der Wirtschaftsmathematik. Es zeichnet sich, in der Vermittlung der Grundlagen des OR, durch eine gelungene didaktische Aufbereitung des Stoffes aus und ist auch zum Selbststudium geeignet. Die Autoren beschreiben Verfahren algorithmisch und verdeutlichen sie anhand von aussagekr ftigen Beispielen. Der Text behandelt lineare, ganzzahlige und kombinatorische, dynamische sowie nichtlineare Optimierung, Graphen- und Warteschlangentheorie, Netzplantechnik und Simulation. Das Schlusskapitel vermittelt die L sung von OR-Problemen mittels Tabellenkalkulationssoftware. Zur Vertiefung und Anwendung der vorgestellten Methoden wird das Buch " bungen und Fallbeispiele zum Operations Research" derselben Autoren empfohlen. Es enth lt eine gro e Anzahl an bungsaufgaben und eine Einf hrung in die Optimierung mit Standardsoftware.
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