High-speed railway system is interdisciplinary subject that covers infrastructure, mobile equipment, traction power supply, communication signal, operation and maintenance, and transportation organization. The purpose of this book is to give readers a basic understanding of the technology behind of China's high-speed rail network.
In this book, the author mainly focusses on the innovations of products and processes, especially product innovation, which involves the selection of technology route, technology system and technology source. Therefore, the innovation in HST here refers to the selection of technology route, technology system and technology source, as well as, the new products developed and manufactured according to the selection. With the in-depth study, the author would like to provide outlook for development in this area in the next stage.
Автор: Jes?s M. Vel?squez-Berm?dez; Marzieh Khakifirooz; Название: Large Scale Optimization in Supply Chains and Smart Manufacturing ISBN: 3030227871 ISBN-13(EAN): 9783030227876 Издательство: Springer Рейтинг: Цена: 79190.00 T Наличие на складе: Нет в наличии. Описание: In this book, theory of large scale optimization is introduced with case studies of real-world problems and applications of structured mathematical modeling. The large scale optimization methods are represented by various theories such as Benders’ decomposition, logic-based Benders’ decomposition, Lagrangian relaxation, Dantzig –Wolfe decomposition, multi-tree decomposition, Van Roy’ cross decomposition and parallel decomposition for mathematical programs such as mixed integer nonlinear programming and stochastic programming. Case studies of large scale optimization in supply chain management, smart manufacturing, and Industry 4.0 are investigated with efficient implementation for real-time solutions. The features of case studies cover a wide range of fields including the Internet of things, advanced transportation systems, energy management, supply chain networks, service systems, operations management, risk management, and financial and sales management. Instructors, graduate students, researchers, and practitioners, would benefit from this book finding the applicability of large scale optimization in asynchronous parallel optimization, real-time distributed network, and optimizing the knowledge-based expert system for convex and non-convex problems.
Автор: Shao Yingxia, Cui Bin, Chen Lei Название: Large-Scale Graph Analysis: System, Algorithm and Optimization ISBN: 9811539278 ISBN-13(EAN): 9789811539275 Издательство: Springer Рейтинг: Цена: 102480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book introduces readers to a workload-aware methodology for large-scale graph algorithm optimization in graph-computing systems, and proposes several optimization techniques that can enable these systems to handle advanced graph algorithms efficiently.
Автор: Ding Tao Название: Power System Operation with Large Scale Stochastic Wind Power Integration: Interval Arithmetic Based Analysis and Optimization Methods ISBN: 9811096511 ISBN-13(EAN): 9789811096518 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book addresses the uncertainties of wind power modeled as interval numbers and assesses the physical modeling and methods for interval power flow, interval economic dispatch and interval robust economic dispatch.
Автор: Jizhong Zhu Название: Optimization of Power System Operation 2e ISBN: 1118854152 ISBN-13(EAN): 9781118854150 Издательство: Wiley Рейтинг: Цена: 128780.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Optimization of Power System Operation, 2 nd Edition, offers a practical, hands-on guide to theoretical developments and to the application of advanced optimization methods to realistic electric power engineering problems.
Автор: F.Carl Knopf Название: Modeling, Analysis and Optimization of Process and Energy Systems ISBN: 0470624213 ISBN-13(EAN): 9780470624210 Издательство: Wiley Рейтинг: Цена: 118220.00 T Наличие на складе: Нет в наличии. Описание: Energy costs impact the profitability of virtually all industrial processes.
Автор: Cichocki, Andrzej, Namgil Lee, Ivan Oseledets, Anh Название: Tensor networks for dimensionality reduction and large-scale optimization: Part 1 low-rank tensor decompositions ISBN: 1680832220 ISBN-13(EAN): 9781680832228 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 87780.00 T Наличие на складе: Нет в наличии. Описание: Provides a systematic and example-rich guide to the basic properties and applications of tensor network methodologies, and demonstrates their promise as a tool for the analysis of extreme-scale multidimensional data. The book demonstrates the ability of tensor networks to provide linearly or even super-linearly, scalable solutions.
Автор: Cichocki Andrzej, Lee Namgil, Oseledets Ivan Название: Tensor Networks for Dimensionality Reduction and Large-Scale Optimization: Part 2 Applications and Future Perspectives ISBN: 168083276X ISBN-13(EAN): 9781680832761 Издательство: Неизвестно Рейтинг: Цена: 91040.00 T Наличие на складе: Невозможна поставка. Описание: This monograph builds on Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions by discussing tensor network models for super-compressed higher-order representation of data/parameters and cost functions, together with an outline of their applications in machine learning and data analytics. A particular emphasis is on elucidating, through graphical illustrations, that by virtue of the underlying low-rank tensor approximations and sophisticated contractions of core tensors, tensor networks have the ability to perform distributed computations on otherwise prohibitively large volume of data/parameters, thereby alleviating the curse of dimensionality. The usefulness of this concept is illustrated over a number of applied areas, including generalized regression and classification, generalized eigenvalue decomposition and in the optimization of deep neural networks. The monograph focuses on tensor train (TT) and Hierarchical Tucker (HT) decompositions and their extensions, and on demonstrating the ability of tensor networks to provide scalable solutions for a variety of otherwise intractable large-scale optimization problems. Tensor Networks for Dimensionality Reduction and Large-scale Optimization Parts 1 and 2 can be used as stand-alone texts, or together as a comprehensive review of the exciting field of low-rank tensor networks and tensor decompositions. See also: Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions. ISBN 978-1-68083-222-8
Автор: Anatoly Lisnianski; Ilia Frenkel; Yi Ding Название: Multi-state System Reliability Analysis and Optimization for Engineers and Industrial Managers ISBN: 1447157044 ISBN-13(EAN): 9781447157045 Издательство: Springer Рейтинг: Цена: 156720.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This practically oriented book presents a comprehensive, up-to-date description of multi-state system (MSS) reliability as a natural extension of classical binary-state reliability. It presents all essential theoretical achievements in the field.
Автор: Brevault Loпc, Balesdent Mathieu, Morio Jйrфme Название: Aerospace System Analysis and Optimization in Uncertainty ISBN: 3030391256 ISBN-13(EAN): 9783030391256 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Spotlighting the field of Multidisciplinary Design Optimization (MDO), this book illustrates and implements state-of-the-art methodologies within the complex process of aerospace system design under uncertainties.
Автор: Xu, Jun Название: Block trace analysis and storage system optimization ISBN: 148423927X ISBN-13(EAN): 9781484239278 Издательство: Springer Рейтинг: Цена: 32600.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Understand the fundamental factors of data storage system performance and master an essential analytical skill using block trace via applications such as MATLAB and Python tools. You will increase your productivity and learn the best techniques for doing specific tasks (such as analyzing the IO pattern in a quantitative way, identifying the storage system bottleneck, and designing the cache policy).
In the new era of IoT, big data, and cloud systems, better performance and higher density of storage systems has become crucial. To increase data storage density, new techniques have evolved and hybrid and parallel access techniques—together with specially designed IO scheduling and data migration algorithms—are being deployed to develop high-performance data storage solutions. Among the various storage system performance analysis techniques, IO event trace analysis (block-level trace analysis particularly) is one of the most common approaches for system optimization and design. However, the task of completing a systematic survey is challenging and very few works on this topic exist.Block Trace Analysis and Storage System Optimization brings together theoretical analysis (such as IO qualitative properties and quantitative metrics) and practical tools (such as trace parsing, analysis, and results reporting perspectives). The book provides content on block-level trace analysis techniques, and includes case studies to illustrate how these techniques and tools can be applied in real applications (such as SSHD, RAID, Hadoop, and Ceph systems).What You’ll LearnUnderstand the fundamental factors of data storage system performanceMaster an essential analytical skill using block trace via various applicationsDistinguish how the IO pattern differs in the block level from the file levelKnow how the sequential HDFS request becomes “fragmented” in final storage devicesPerform trace analysis tasks with a tool based on the MATLAB and Python platformsWho This Book Is ForIT professionals interested in storage system performance optimization: network administrators, data storage managers, data storage engineers, storage network engineers, systems engineers
