Algorithmic Methods for Railway Optimization

Modern statistical methods allow the analyst to fit and assess models as well as to undertake supervised or unsupervised learning to extract information. Contemporary data science requires tight integ

This book, now in its second edition, provides a comprehensive overview of current re-irradiation strategies, with detailed discussion of re-irradiation methods, technical aspects, the role of combine

Presents the letters of the alphabet with elements from the industrial revolution representing each letter, from F is for factory and G is for gaslight to N is for newsboy and S is for steamboat.

Since the publication of the first edition in 2011, new security threats have come to the forefront. Among these, we have heard about terrorist weapons/delivery methods becoming increasingly sophistic

Are you ready to take your English skills to the next level?English for Everyone: Level 4: Advanced, Practice Book makes learning English as a second language easier. More than 700 exercises use graphics and visuals to develop English skills in speaking and pronunciation, reading, writing, vocabulary, and grammar.Exercises may include finding the errors in sample text messages, reading comprehension questions, fill-in-the-blanks, word order games, and listening questions.English for Everyone: Level 4: Advanced, Practice Book covers the skills and topics needed for the major global English-language exams, including TOEFL, and uses the same testing methods so you can practice your skills and measure your success.Use this practice book with English for Everyone: Level 4: Advanced, Course Book so you can work with the books together.Series Overview: English for Everyone series teaches all levels of English, from beginner to advanced, to speakers of English as a second language. Innovative

Today, artists are able to create using multiple methods of production―from painting to digital technologies to crowdsourcing―some of which would have been unheard of just a few decades ago. Yet, even

David Card and Alan B. Krueger have already made national news with their pathbreaking research on the minimum wage. Here they present a powerful new challenge to the conventional view that higher minimum wages reduce jobs for low-wage workers. In a work that has important implications for public policy as well as for the direction of economic research, the authors put standard economic theory to the test, using data from a series of recent episodes, including the 1992 increase in New Jersey's minimum wage, the 1988 rise in California's minimum wage, and the 1990-91 increases in the federal minimum wage. In each case they present a battery of evidence showing that increases in the minimum wage lead to increases in pay, but no loss in jobs.A distinctive feature of Card and Krueger's research is the use of empirical methods borrowed from the natural sciences, including comparisons between the "treatment" and "control" groups formed when the minimum wag

The invention of clocks and calendars has been very important in shaping the progress of human civilisation. This book tells their story, from early timekeeping methods and devices, and the formation

Valuation and Risk Management in Energy Markets surveys the mechanics of energy markets and the valuation of structures commonly arising in practice. The presentation balances quantitative issues and practicalities facing portfolio managers, with substantial attention paid to the ways in which common methods fail in practice and to alternative methods when they exist. The material spans basic fundamentals of markets, statistical analysis of price dynamics, and a sequence of increasingly challenging structures, concluding with issues arising at the enterprise level. In totality, the material has been selected to provide readers with the analytical foundation required to function in modern energy trading and risk management groups.

" This clear presentation of the most fundamental models of random phenomena employs methods that recognize computer-related aspects of theory. Topics include probability spaces and random variables,

Most sales professionals make the mistake of using the same sales patterns over and over. But since all customers are different, true pros know they must tailor their methods to the buyer if they want

Covering many techniques widely used in research, this book will help researchers in the physical sciences and engineering solve troublesome - and potentially very time consuming - problems in their work. The book deals with technical difficulties that often arise unexpectedly during the use of various common experimental methods, as well as with human error. It provides preventive measures and solutions for such problems, thereby saving valuable time for researchers. Some of the topics covered are: sudden leaks in vacuum systems, electromagnetic interference in electronic instruments, vibrations in sensitive equipment, and bugs in computer software. The book also discusses mistakes in mathematical calculations, and pitfalls in designing and carrying out experiments. Each chapter contains a summary of its key points, to give a quick overview of important potential problems and their solutions in a given area.

This graduate-level text gives a self-contained exposition of fundamental topics in equilibrium and nonequilibrium statistical thermodynamics. The text follows a balanced approach between the macroscopic (thermodynamic) and microscopic (statistical) points of view. The first half of the book deals with equilibrium thermodynamics and statistical mechanics. In addition to standard subjects, the reader will find a detailed account of broken symmetries, critical phenomena and the renormalization group, as well as an introduction to numerical methods. The second half of the book is devoted to nonequilibrium phenomena, first following a macroscopic approach, with hydrodynamics as an important example. Kinetic theory receives a thorough treatment through analysis of the Boltzmann-Lorentz model and the Boltzmann equation. The book concludes with general nonequilibrium methods such as linear response, projection method and the Langevin and Fokker-Planck equations, including numerical simulation

Focusing on the conceptual understanding of mechanics, this exciting new text addresses developments in the methods of analyzing mechanics problems. It fully incorporates the highly sophisticated comp

Focusing on the conceptual understanding of mechanics, this exciting new text addresses developments in the methods of analyzing mechanics problems. It fully incorporates the highly sophisticated comp

Fuzzy logic refers to a large subject dealing with a set of methods to characterize and quantify uncertainty in engineering systems that arise from ambiguity, imprecision, fuzziness, and lack of knowl

Adam Phillips uses the idea of flirtation to explore the virtues of being uncommitted - to people, to ideas, to methods - and the pleasures of uncertainty.

Huna philosophy is about learning to become a conscious cocreator with the Universe. Hawaiian shaman King uses Kahuna healing methods to help us access the hidden energy of life, develop powers of co

Proven educational methods reinforce what is taught in preschool through the elementary grades. Simple instructions and delightful graphics motivate your child to master the skills...and turn the page

Address vector and matrix methods necessary in numerical methods and optimization of linear systems in engineering with this unified text. Treats the mathematical models that describe and predict the evolution of our processes and systems, and the numerical methods required to obtain approximate solutions. Explores the dynamical systems theory used to describe and characterize system behaviour, alongside the techniques used to optimize their performance. Integrates and unifies matrix and eigenfunction methods with their applications in numerical and optimization methods. Consolidating, generalizing, and unifying these topics into a single coherent subject, this practical resource is suitable for advanced undergraduate students and graduate students in engineering, physical sciences, and applied mathematics.

Providing an up-to-date overview of the most popular global optimization methods used in interpreting geophysical observations, this new edition includes a detailed description of the theoretical development underlying each method and a thorough explanation of the design, implementation and limitations of algorithms. New and expanded chapters provide details of recently developed methods, such as the neighborhood algorithm, particle swarm optimization, hybrid Monte Carlo and multi-chain MCMC methods. Other chapters include new examples of applications, from uncertainty in climate modeling to whole Earth studies. Several different examples of geophysical inversion, including joint inversion of disparate geophysical datasets, are provided to help readers design algorithms for their own applications. This is an authoritative and valuable text for researchers and graduate students in geophysics, inverse theory and exploration geoscience, and an important resource for professionals working

Principles of Railway Location and Design examines classification and classing methods of railway networks and expresses theories and methods of railway route selection and design. Railway networks re

This book introduces novel methodological approaches to discrete optimization, providing both theoretical insights and algorithmic discoveries which lead to improvements over state-of-the-art technolo

Forty-two papers from the 2016 conference present recent research on the automation and control of railway systems, and the optimization of railway components and operations. The contributors propose

Various optimization methods for structural size, shape, topology designs have been developed and widely employed in engineering applications. Among which, topology optimization has been recognized as

This book presents various computationally efficient component- and system-level design optimization methods for advanced electrical machines and drive systems. Readers will discover novel design opti

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

Designing complex integrated circuits relies heavily on mathematical methods and calls for suitable simulation and optimization tools. The current design approach involves simulations and optimization

The purpose of this book is to present the main metaheuristics and approximate and stochastic methods for optimization of complex systems in Engineering Sciences. It has been written within the framew

Optimization Approaches for Solving String Selection Problems provides an overview of optimization methods for a wide class of genomics-related problems in relation to the string selection problems. T

Providing an up-to-date overview of the most popular global optimization methods used in interpreting geophysical observations, this new edition includes a detailed description of the theoretical development underlying each method and a thorough explanation of the design, implementation and limitations of algorithms. New and expanded chapters provide details of recently developed methods, such as the neighborhood algorithm, particle swarm optimization, hybrid Monte Carlo and multi-chain MCMC methods. Other chapters include new examples of applications, from uncertainty in climate modeling to whole Earth studies. Several different examples of geophysical inversion, including joint inversion of disparate geophysical datasets, are provided to help readers design algorithms for their own applications. This is an authoritative and valuable text for researchers and graduate students in geophysics, inverse theory and exploration geoscience, and an important resource for professionals working

Data Correcting Approaches in Combinatorial Optimization focuses on algorithmic applications of the well known polynomially solvable special cases of computationally intractable problems. The purpose

Control and Optimization Methods for Electric Smart Grids brings together leading experts in power, control and communication systems, and consolidates some of the most promising recent research in sm

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

Computational Optimization of Internal Combustion Engines presents the state of the art of computational models and optimization methods for internal combustion engine development using multi-dimensio

Discrete optimization problems are everywhere, from traditional operations research planning (scheduling, facility location and network design); to computer science databases; to advertising issues in viral marketing. Yet most such problems are NP-hard; unless P = NP, there are no efficient algorithms to find optimal solutions. This book shows how to design approximation algorithms: efficient algorithms that find provably near-optimal solutions. The book is organized around central algorithmic techniques for designing approximation algorithms, including greedy and local search algorithms, dynamic programming, linear and semidefinite programming, and randomization. Each chapter in the first section is devoted to a single algorithmic technique applied to several different problems, with more sophisticated treatment in the second section. The book also covers methods for proving that optimization problems are hard to approximate. Designed as a textbook for graduate-level algorithm courses

Biologically inspired optimization methods constitute a rapidly expanding field of research, with new applications appearing on an almost daily basis, as optimization problems of ever-increasing comp

Throughput Optimization In Robotic Cells provides practitioners, researchers, and students with up-to-date algorithmic results on sequencing of robot moves and scheduling of parts in robotic cells. It

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

Fully describes optimization methods that are currently most valuable in solving real-life problems. Since optimization has applications in almost every branch of science and technology, the text emph