High Speed Railway Track Dynamics: Models, Algorithms and Applications, Lei Xiaoyan
Автор: Ilias S. Kotsireas; Anna Nagurney; Panos M. Pardal Название: Dynamics of Disasters—Key Concepts, Models, Algorithms, and Insights ISBN: 3319437070 ISBN-13(EAN): 9783319437071 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume results from the “Second International Conference on Dynamics of Disasters” held in Kalamata, Greece, June 29-July 2, 2015. The conference covered particular topics involved in natural and man-made disasters such as war, chemical spills, and wildfires. Papers in this volume examine the finer points of disasters through: * Critical infrastructure protection * Resiliency * Humanitarian logistic * Relief supply chains * Cooperative game theory * Dynamical systems * Decision making under risk and uncertainty * Spread of diseases * Contagion * Funding for disaster relief * Tools for emergency preparedness * Response, and risk mitigation Multi-disciplinary theories, tools, techniques and methodologies are linked with disasters from mitigation and preparedness to response and recovery. The interdisciplinary approach to problems in economics, optimization, government, management, business, humanities, engineering, medicine, mathematics, computer science, behavioral studies, emergency services, and environmental studies will engage readers from a wide variety of fields and backgrounds.
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.
Описание: Highlights the latest research innovations and applications of algorithms designed for optimization applications within the fields of engineering, IT, and economics. Focusing on a variety of methods and systems as well as practical examples, this book is a significant resource for graduate-level students, decision makers, and researchers in both public and private sectors.
Автор: Bogdan Dumitrescu; Paul Irofti Название: Dictionary Learning Algorithms and Applications ISBN: 3030087611 ISBN-13(EAN): 9783030087616 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Поставка под заказ.
Описание: This book covers all the relevant dictionary learning algorithms, presenting them in full detail and showing their distinct characteristics while also revealing the similarities. It gives implementation tricks that are often ignored but that are crucial for a successful program. Besides MOD, K-SVD, and other standard algorithms, it provides the significant dictionary learning problem variations, such as regularization, incoherence enforcing, finding an economical size, or learning adapted to specific problems like classification. Several types of dictionary structures are treated, including shift invariant; orthogonal blocks or factored dictionaries; and separable dictionaries for multidimensional signals. Nonlinear extensions such as kernel dictionary learning can also be found in the book. The discussion of all these dictionary types and algorithms is enriched with a thorough numerical comparison on several classic problems, thus showing the strengths and weaknesses of each algorithm. A few selected applications, related to classification, denoising and compression, complete the view on the capabilities of the presented dictionary learning algorithms. The book is accompanied by code for all algorithms and for reproducing most tables and figures.Presents all relevant dictionary learning algorithms - for the standard problem and its main variations - in detail and ready for implementation;Covers all dictionary structures that are meaningful in applications;Examines the numerical properties of the algorithms and shows how to choose the appropriate dictionary learning algorithm.
Описание: Taking the Qinghai–Tibet Railway as an example, this book introduces intelligent processing for Global Positioning Data (GPS) data. Combining theory with practical applications, it provides essential insights into the Chinese Qinghai–Tibet Railway and novel methods of data processing for GPS satellite positioning, making it a valuable resource for all those working with train control systems, train positioning systems, satellite positioning, and intelligent data processing. As satellite positioning guarantees the safe and efficient operation of train control systems, it focuses on how to best process the GPS data collected, including methods for error detection, reduction and information fusion.
Автор: Bogdan Dumitrescu; Paul Irofti Название: Dictionary Learning Algorithms and Applications ISBN: 3319786733 ISBN-13(EAN): 9783319786735 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers all the relevant dictionary learning algorithms, presenting them in full detail and showing their distinct characteristics while also revealing the similarities. It gives implementation tricks that are often ignored but that are crucial for a successful program. Besides MOD, K-SVD, and other standard algorithms, it provides the significant dictionary learning problem variations, such as regularization, incoherence enforcing, finding an economical size, or learning adapted to specific problems like classification. Several types of dictionary structures are treated, including shift invariant; orthogonal blocks or factored dictionaries; and separable dictionaries for multidimensional signals. Nonlinear extensions such as kernel dictionary learning can also be found in the book. The discussion of all these dictionary types and algorithms is enriched with a thorough numerical comparison on several classic problems, thus showing the strengths and weaknesses of each algorithm. A few selected applications, related to classification, denoising and compression, complete the view on the capabilities of the presented dictionary learning algorithms. The book is accompanied by code for all algorithms and for reproducing most tables and figures.Presents all relevant dictionary learning algorithms - for the standard problem and its main variations - in detail and ready for implementation;Covers all dictionary structures that are meaningful in applications;Examines the numerical properties of the algorithms and shows how to choose the appropriate dictionary learning algorithm.
Автор: Surma Zeynep Alparslan Gok, Duygy Arugaslan Cincin Название: Emerging Applications of Differential Equations and Game Theory ISBN: 1799801349 ISBN-13(EAN): 9781799801344 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 30215.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Branches of mathematics and advanced mathematical algorithms can help solve daily problems throughout various fields of applied sciences. Domains like economics, mechanical engineering, and multi-person decision making benefit from the inclusion of mathematics to maximize utility and cooperation across disciplines. There is a need for studies seeking to understand the theories and practice of using differential mathematics to increase efficiency and order in the modern world.
Emerging Applications of Differential Equations and Game Theory is a collection of innovative research that examines the recent advancements on interdisciplinary areas of applied mathematics. While highlighting topics such as artificial neuron networks, stochastic optimization, and dynamical systems, this publication is ideally designed for engineers, cryptologists, economists, computer scientists, business managers, mathematicians, mechanics, academicians, researchers, and students.
Описание: This textbook is aimed at newcomers to nonlinear dynamics and chaos, especially students taking a first course in the subject. The presentation stresses analytical methods, concrete examples, and geometric intuition. The theory is developed systematically, starting with first-order differential equations and their bifurcations.
Описание: This book includes original research findings in the field of memetic algorithms for image processing applications.
Автор: Zhai Wanming Название: Vehicle-Track Coupled Dynamics: Theory and Applications ISBN: 9813292857 ISBN-13(EAN): 9789813292857 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Representing a radical departure from classic vehicle system dynamics and track dynamics, the vehicle-track coupled dynamics theory considers the vehicle and track as one interactive and integrated system coupled through wheel-rail interaction.
Описание: An assessment of the impact of natural and technological disasters using a DEA approach.- Selective Routing for Post-Disaster Needs Assessments.- Bridging the Gap: Preparing for Long-Term Infrastructure Disruptions.- Multi-Hazard Scenarios and Impact Mapping for a Protected Built Area in Bucharest, as a base for Emergency Planning.- Lean thinking and UN field operations: A successful co-existence?.- Collaborative incident planning and the common operational picture.- Metaheuristic Optimization for Logistics in Natural Disasters.- Tsunami of the meteoric origin.- The Donation Collections Routing Problem.- Network criticality and network complexity indicators for the assessment of critical infrastructures during disasters.- Freight Service Provision for Disaster Relief: A Competitive Network Model with Computations.- A Mean-Variance Disaster Relief Supply Chain Network Model for Risk Reduction with Stochastic Link Costs, Time Targets, and Demand Uncertainty.- A Review of Current Earthquake and Fire Preparedness Campaigns: What works?.- The Impact of the Syria Crisis on Lebanon.- Absenteeism Impact on Local Economy During a Pandemic via Hybrid SIR Dynamics.- Tornado Detection with Kernel-Based Classifiers from WSR-88D Radar Data.- Evacuation modeling and betweenness centrality.- Ode to the Humanitarian Logistician: Humanistic Logistics through a Nurse's Eye.
Описание: The book presents recently developed efficient metaheuristic optimization algorithms and their applications for solving various optimization problems in civil engineering. The concepts can also be used for optimizing problems in mechanical and electrical engineering.
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