Algorithmic Methods for Railway Optimization

Named with a simple word meaning ‘cloth’, NUNO is one of Japan’s most important textile-design companies. Founded in 1984 by the legendary Junichi Arai and the company’s current director, Reiko Sudo, it is recognized as one of the world’s most innovative textile producers. Known for weaving together tradition and cutting-edge technology, NUNO designers are inspired by the past, present and future, integrating unexpected elements, such as paper or feathers or aluminium, with industrial methods, such as spatter-plating and chemical etching.All NUNO textiles – more than 2,500 have been created – are produced in Japan and are usually the handiwork of an individual craftsperson. Each bolt of cloth has a story to tell. Though their textiles appear regularly in books, textile exhibitions and museum collections, a comprehensive NUNO monograph has not existed - until now.Featuring the most outstanding, influential or experimental fabrics, the book is organized into seven chapters, each based on

Debates about the origins and effects of European rule in the non-European world have animated the field of economic history since the 1850s. This pioneering text provides a concise and accessible resource that introduces key readings, builds connections between ideas and helps students to develop informed views of colonialism as a force in shaping the modern world. With special reference to European colonialism of the nineteenth and twentieth centuries in both Asia and Africa, this book:• critically reviews the literature on colonialism and economic growth;• covers a range of different methods of analysis;• offers a comparative approach, as opposed to a collection of regional histories, deftly weaving together different themes.With debates around globalization, migration, global finance and environmental change intensifying, this authoritative account of the relationship between colonialism and economic development makes an invaluable contribution to several distinct literatures in ec

Peter, Phyllis and Roberta’s lives change overnight when their father is taken away by two strangers. They move from the comfort of their London home to a small country cottage, and are left to their

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This concise yet comprehensive textbook examines political, social, and cultural developments in the Soviet Union and the post-Soviet period. It begins by identifying the social tensions and political inconsistencies that spurred radical change in Russia's government, from the turn of the century to the revolution of 1917. Peter Kenez presents this revolution as a crisis of authority that the creation of the Soviet Union resolved. The text traces the progress of the Soviet Union through the 1920s, the years of the New Economic Policies, and into the Stalinist order. It illustrates how post-Stalin Soviet leaders struggled to find ways to rule the country without using Stalin's methods - but also without openly repudiating the past - and to negotiate a peaceful but antipathetic coexistence with the capitalist West. This updated third edition includes substantial new material, discussing the challenges Russia currently faces in the era of Putin.

Kant is the central figure of modern philosophy. He sought to rebuild philosophy from the ground up, and he succeeded in permanently changing its problems and methods. This revised edition of the Prolegomena, which is the best introduction to the theoretical side of his philosophy, presents his thought clearly by paying careful attention to his original language. Also included are selections from the Critique of Pure Reason, which fill out and explicate some of Kant's central arguments (including famous sections of the Schematism and Analogies), and in which Kant himself explains his special terminology. The first reviews of the Critique, to which Kant responded in the Prolegomena, are included in this revised edition. The volume is completed by a historical and philosophical introduction, explanatory notes, a chronology, and a guide to further reading.

New edition of a graduate-level textbook on that focuses on online convex optimization, a machine learning framework that views optimization as a process.In many practical applications, the environment is so complex that it is not feasible to lay out a comprehensive theoretical model and use classical algorithmic theory and/or mathematical optimization. Introduction to Online Convex Optimization presents a robust machine learning approach that contains elements of mathematical optimization, game theory, and learning theory: an optimization method that learns from experience as more aspects of the problem are observed. This view of optimization as a process has led to some spectacular successes in modeling and systems that have become part of our daily lives. Based on the “Theoretical Machine Learning” course taught by the author at Princeton University, the second edition of this widely used graduate level text features:Thoroughly updated material throughoutNew chapters on boosting, ad

Based on course-tested material, this rigorous yet accessible graduate textbook covers both fundamental and advanced optimization theory and algorithms. It covers a wide range of numerical methods and topics, including both gradient-based and gradient-free algorithms, multidisciplinary design optimization, and uncertainty, with instruction on how to determine which algorithm should be used for a given application. It also provides an overview of models and how to prepare them for use with numerical optimization, including derivative computation. Over 400 high-quality visualizations and numerous examples facilitate understanding of the theory, and practical tips address common issues encountered in practical engineering design optimization and how to address them. Numerous end-of-chapter homework problems, progressing in difficulty, help put knowledge into practice. Accompanied online by a solutions manual for instructors and source code for problems, this is ideal for a one- or two-sem

Since nonsmooth optimization problems arise in a diverse range of real-world applications, the potential impact of efficient methods for solving such problems is undeniable. Even solving difficult smo

This book is an introduction to relevant aspects of the foraging literature for algorithmic design, and an overview of key families of optimization algorithms that stem from a foraging metaphor. The a

This book contains thirty-five selected papers presented at the International Conference on Evolutionary and Deterministic Methods for Design, Optimization and Control with Applications to Industrial

This book covers various multiple-criteria decision making (mcdm) methods for modeling and optimization of advanced manufacturing processes (AMPs). Processes such as non-conventional machining, r

Fractional Order Systems: Optimization, Control, Circuit Realizations and Applications consists of 21 contributed chapters by subject experts. Chapters offer practical solutions and novel methods for

This book presents state-of-the-art research and survey articles that highlight work done within the Priority Program SPP 1489 “Algorithmic and Experimental Methods in Algebra, Geometry and Number The

Nonlinear Optimization of Vehicle Safety Structures: Modeling of Structures Subjected to Large Deformationsprovides a cutting-edge overview of the latest optimization methods for vehicle structural de

This book provides a thorough introduction to the mathematical and algorithmic aspects of certified reduced basis methods for parametrized partial differential equations. Central aspects ranging from

Earl J. Currie examines the standards, methods, and practices for railway operations that James J. Hill developed and applied so successfully for the Great Northern and other railways companies that h

Probabilistic Design for Optimization and Robustness:Presents the theory of modeling with variation using physical models and methods for practical applications on designs more insensitive to variatio

This volume contains thirteen articles on advances in applied mathematics and computing methods for engineering problems. Six papers are on optimization methods and algorithms with emphasis on problem

This book contains the 14th proceedings of the, very successful, International conference on Railway Engineering Design and Optimization (COMPRAIL 2014), which began in 1987.Encouraging the update and

Bringing together experts from research and practice, Shell Structures for Architecture: Form Finding and Optimization presents contemporary design methods for shell and gridshell structures, covering

Exploring methods and techniques to optimize processing energy efficiency in process plants, Energy Optimization for the Process Industries provides a holistic approach that considers changing process

The purpose of this book is to present the main methods of static and dynamic optimization. It has been written within the framework of the European Union project – ERRIC (Empowering Romanian Research

Newtonian Nonlinear Dynamics for Complex Linear and Optimization Problems explores how Newton's equation for the motion of one particle in classical mechanics combined with finite difference methods a

This monograph deals with a general class of solution approaches in deterministic global optimization, namely the geometric branch-and-bound methods which are popular algorithms, for instance, in Lips

The interplay between optimization and machine learning is one of the most importantdevelopments in modern computational science. Optimization formulations and methods are proving tobe vital in design

Finite element methods have become ever more important to engineers as tools for design and optimization, now even for solving non-linear technological problems. However, several aspects must be consi

This book--the first of its kind--presents general methods for feedback controller synthesis and optimization of multiscale systems, illustrating their application to thin-film growth, sputtering pro

Finite element methods have become ever more important to engineers as tools for design and optimization, now even for solving non-linear technological problems. However, several aspects must be consi

Discusses optimization problems encountered in financial models, describes the relevant theory and efficient solution methods, and shows how to apply them to practical problems in mathematical finance

An in-depth overview of polyhedral methods and efficient algorithms in combinatorial optimization. These methods form a broad, coherent and powerful kernel in combinatorial optimization, with strong l

This is the first comprehensive reference on trust-region methods, a class of numerical algorithms for the solution of nonlinear convex optimization methods. Its unified treatment covers both unconstr

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