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Showing 15,801 through 15,825 of 54,467 results

Fourier Modal Method and Its Applications in Computational Nanophotonics

by Hwi Kim Junghyun Park Byoungho Lee

Most available books on computational electrodynamics are focused on FDTD, FEM, or other specific technique developed in microwave engineering. In contrast, Fourier Modal Method and Its Applications in Computational Nanophotonics is a complete guide to the principles and detailed mathematics of the up-to-date Fourier modal method of optical analysis. It takes readers through the implementation of MATLAB® codes for practical modeling of well-known and promising nanophotonic structures. The authors also address the limitations of the Fourier modal method.Features Provides a comprehensive guide to the principles, methods, and mathematics of the Fourier modal method Explores the emerging field of computational nanophotonics Presents clear, step-by-step, practical explanations on how to use the Fourier modal method for photonics and nanophotonics applications Includes the necessary MATLAB codes, enabling readers to construct their own code Using this book, graduate students and researchers can learn about nanophotonics simulations through a comprehensive treatment of the mathematics underlying the Fourier modal method and examples of practical problems solved with MATLAB codes.

Statistics of Medical Imaging

by Tianhu Lei

Statistical investigation into technology not only provides a better understanding of the intrinsic features of the technology (analysis), but also leads to an improved design of the technology (synthesis). Physical principles and mathematical procedures of medical imaging technologies have been extensively studied during past decades. However, les

Systems Evaluation: Methods, Models, and Applications

by Sifeng Liu Naiming Xie Chaoqing Yuan Zhigeng Fang

A book in the Systems Evaluation, Prediction, and Decision-Making Series, Systems Evaluation: Methods, Models, and Applications covers the evolutionary course of systems evaluation methods, clearly and concisely. Outlining a wide range of methods and models, it begins by examining the method of qualitative assessment. Next, it describes the process

Mathematical Methods for Accident Reconstruction: A Forensic Engineering Perspective

by Harold Franck Darren Franck

Over the past 25 years, Harold and Darren Franck have investigated hundreds of accidents involving vehicles of almost every shape, size, and type imaginable. In Mathematical Methods for Accident Reconstruction: A Forensic Engineering Perspective, these seasoned experts demonstrate the application of mathematics to modeling accident reconstructions

Computational Partial Differential Equations Using MATLAB (Chapman And Hall/crc Applied Mathematics And Nonlinear Science Ser.)

by Jichun Li

This textbook introduces several major numerical methods for solving various partial differential equations (PDEs) in science and engineering, including elliptic, parabolic, and hyperbolic equations. It covers traditional techniques that include the classic finite difference method and the finite element method as well as state-of-the-art numerical

Analysis of Industrial Clusters in China

by Zhu Yingming

Taking a close look at the national economic system of China, this book defines industrial clusters, then summarizes their measurement indices and identifies their methods. The author identifies 11 industrial clusters and analyses their structural relationships. He studies the relationships between structures and characters of industrial clusters u

The Top Ten Algorithms in Data Mining

by Xindong Wu Vipin Kumar

Identifying some of the most influential algorithms that are widely used in the data mining community, The Top Ten Algorithms in Data Mining provides a description of each algorithm, discusses its impact, and reviews current and future research. Thoroughly evaluated by independent reviewers, each chapter focuses on a particular algorithm and is wri

Essentials of Topology with Applications (Textbooks In Mathematics Ser.)

by Steven G. Krantz

Brings Readers Up to Speed in This Important and Rapidly Growing AreaSupported by many examples in mathematics, physics, economics, engineering, and other disciplines, Essentials of Topology with Applications provides a clear, insightful, and thorough introduction to the basics of modern topology. It presents the traditional concepts of topological

Temporal Data Mining

by Theophano Mitsa

Temporal data mining deals with the harvesting of useful information from temporal data. New initiatives in health care and business organizations have increased the importance of temporal information in data today.From basic data mining concepts to state-of-the-art advances, Temporal Data Mining covers the theory of this subject as well as its app

Interest Rate Modeling: Theory and Practice (Chapman And Hall/crc Financial Mathematics Ser.)

by Lixin Wu

Containing many results that are new or exist only in recent research articles, Interest Rate Modeling: Theory and Practice portrays the theory of interest rate modeling as a three-dimensional object of finance, mathematics, and computation. It introduces all models with financial-economical justifications, develops options along the martingale app

Linear and Nonlinear Programming with Maple: An Interactive, Applications-Based Approach (Textbooks In Mathematics Ser.)

by Paul E. Fishback

Helps Students Understand Mathematical Programming Principles and Solve Real-World ApplicationsSupplies enough mathematical rigor yet accessible enough for undergraduatesIntegrating a hands-on learning approach, a strong linear algebra focus, Maple� software, and real-world applications, Linear and Nonlinear Programming with Maple�: An Interactive,

An Introduction to Exotic Option Pricing (Chapman And Hall/crc Financial Mathematics Ser.)

by Peter Buchen

In an easy-to-understand, nontechnical yet mathematically elegant manner, An Introduction to Exotic Option Pricing shows how to price exotic options, including complex ones, without performing complicated integrations or formally solving partial differential equations (PDEs). The author incorporates much of his own unpublished work, including ideas

Essentials of Control Techniques and Theory

by John Billingsley

Carefully separating the essential from the ornamental, Essentials of Control Techniques and Theory presents the nuts and bolts for designing a successful controller. It discusses the theory required to support the art of designing a working controller as well as the various aspects to convince a client, employer, or examiner of your expertise. A Compelling Account of the Basics of Control TheoryControl solutions for practicing engineers Using the author’s own Javascript On-Line Learning Interactive Environment for Simulation (Jollies), the text relies on computer-based graphical analysis methods, such as Nyquist, Nichols, root locus, and phase-plane, to illustrate how useful computer simulation can be for analyzing both linear and nonlinear systems. It explains step-by-step the design and modeling of various control systems, including discrete time systems and an inverted pendulum. Along with offering many web-based simulations, the book shows how mathematics, such as vectors, matrices, and the differential equations that govern state variables, can help us understand the concepts that underpin the controller’s effects. From frequency domain analysis to time-domain state-space representation, this book covers many aspects of classical and modern control theory. It presents important methods for designing and analyzing linear systems and controllers.

Classical and Modern Numerical Analysis: Theory, Methods and Practice (Chapman And Hall/crc Numerical Analysis And Scientific Computing Ser.)

by Azmy S. Ackleh

Classical and Modern Numerical Analysis: Theory, Methods and Practice provides a sound foundation in numerical analysis for more specialized topics, such as finite element theory, advanced numerical linear algebra, and optimization. It prepares graduate students for taking doctoral examinations in numerical analysis.The text covers the main areas o

Regression Modeling: Methods, Theory, and Computation with SAS

by Michael Panik

Regression Modeling: Methods, Theory, and Computation with SAS provides an introduction to a diverse assortment of regression techniques using SAS to solve a wide variety of regression problems. The author fully documents the SAS programs and thoroughly explains the output produced by the programs.The text presents the popular ordinary least square

Scientific Method: Applications in Failure Investigation and Forensic Science (International Forensic Science and Investigation)

by Randall K. Noon

Most failure or accident investigations begin at the end of the story: after the explosion, after the fire has been extinguished, or after the collapse. In many instances, information about the last event and the starting event is known reasonably well. Information about what occurred between these endpoints, however, is often unclear, confusing, and perhaps contradictory. Scientific Method: Applications in Failure Investigation and Forensic Science explains how scientific investigative methods can best be used to determine why and how a particular event occurred.While employing examples from forensic engineering, the book uses principles and ideas applicable to most of the forensic sciences. The author examines the role of the failure investigator, describes the fundamental method for investigation, discusses the optimal way to organize evidence, and explores the four most common reasons why some investigations fail. The book provides three case studies that exemplify proper report writing, contains a special chapter profiling a criminal case by noted forensic specialist Jon J. Nordby, and offers a reading list of resources for further study.Concise and illustrative, this volume demonstrates how the scientific method can be applied to failure investigation in ways that avoid flawed reasoning while delivering convincing reconstruction scenarios. Investigators can pinpoint where things went wrong, providing valuable information that can prevent another catastrophe.

Numerical and Analytical Methods with MATLAB (Applied And Computational Mechanics Ser.)

by William Bober

Numerical and Analytical Methods with MATLAB presents extensive coverage of the MATLAB programming language for engineers. It demonstrates how the built-in functions of MATLAB can be used to solve systems of linear equations, ODEs, roots of transcendental equations, statistical problems, optimization problems, control systems problem

Ubiquitous Computing Fundamentals

by John Krumm

"…a must-read text that provides a historical lens to see how ubicomp has matured into a multidisciplinary endeavor. It will be an essential reference to researchers and those who want to learn more about this evolving field." -From the Foreword, Professor Gregory D. Abowd, Georgia Institute of Technology First introduced two decades ago, the term ubiquitous computing is now part of the common vernacular. Ubicomp, as it is commonly called, has grown not just quickly but broadly so as to encompass a wealth of concepts and technology that serves any number of purposes across all of human endeavor. While such growth is positive, the newest generation of ubicomp practitioners and researchers, isolated to specific tasks, are in danger of losing their sense of history and the broader perspective that has been so essential to the field’s creativity and brilliance. Under the guidance of John Krumm, an original ubicomp pioneer, Ubiquitous Computing Fundamentals brings together eleven ubiquitous computing trailblazers who each report on his or her area of expertise. Starting with a historical introduction, the book moves on to summarize a number of self-contained topics. Taking a decidedly human perspective, the book includes discussion on how to observe people in their natural environments and evaluate the critical points where ubiquitous computing technologies can improve their lives. Among a range of topics this book examines: How to build an infrastructure that supports ubiquitous computing applications Privacy protection in systems that connect personal devices and personal information Moving from the graphical to the ubiquitous computing user interface Techniques that are revolutionizing the way we determine a person’s location and understand other sensor measurements While we needn’t become expert in every sub-discipline of ubicomp, it is necessary that we appreciate all the perspectives that make up the field and understand how our work can influence and be influenced by those perspectives. This is important, if we are to encourage future generations to be as successfully innovative as the field’s originators.

Abstract Algebra: An Interactive Approach (Textbooks In Mathematics Ser.)

by William Paulsen

By integrating the use of GAP and Mathematica, Abstract Algebra: An Interactive Approach presents a hands-on approach to learning about groups, rings, and fields. Each chapter includes both GAP and Mathematica commands, corresponding Mathematica notebooks, traditional exercises, and several interactive computer problems that utilize GAP and Mathema

Advanced Linear Algebra for Engineers with MATLAB

by Sohail A. Dianat Eli Saber

Arming readers with both theoretical and practical knowledge, Advanced Linear Algebra for Engineers with MATLAB® provides real-life problems that readers can use to model and solve engineering and scientific problems in fields ranging from signal processing and communications to electromagnetics and social and health sciences. Facilitating a unique understanding of rapidly evolving linear algebra and matrix methods, this book: Outlines the basic concepts and definitions behind matrices, matrix algebra, elementary matrix operations, and matrix partitions, describing their potential use in signal and image processing applications Introduces concepts of determinants, inverses, and their use in solving linear equations that result from electrical and mechanical-type systems Presents special matrices, linear vector spaces, and fundamental principles of orthogonality, using an appropriate blend of abstract and concrete examples and then discussing associated applications to enhance readers’ visualization of presented concepts Discusses linear operators, eigenvalues, and eigenvectors, and explores their use in matrix diagonalization and singular value decomposition Extends presented concepts to define matrix polynomials and compute functions using several well-known methods, such as Sylvester’s expansion and Cayley-Hamilton Introduces state space analysis and modeling techniques for discrete and continuous linear systems, and explores applications in control and electromechanical systems, to provide a complete solution for the state space equation Shows readers how to solve engineering problems using least square, weighted least square, and total least square techniques Offers a rich selection of exercises and MATLAB® assignments that build a platform to enhance readers’ understanding of the material Striking the appropriate balance between theory and real-life applications, this book provides both advanced students and professionals in the field with a valuable reference that they will continually consult.

Foundations of Factor Analysis (Chapman And Hall/crc Statistics In The Social And Behavioral Sciences Ser.)

by Stanley A. Mulaik

Providing a practical, thorough understanding of how factor analysis works, Foundations of Factor Analysis, Second Edition discusses the assumptions underlying the equations and procedures of this method. It also explains the options in commercial computer programs for performing factor analysis and structural equation modeling. This long-awaited e

Applied Combinatorics

by Fred Roberts Barry Tesman

Now with solutions to selected problems, Applied Combinatorics, Second Edition presents the tools of combinatorics from an applied point of view. This bestselling textbook offers numerous references to the literature of combinatorics and its applications that enable readers to delve more deeply into the topics.After introducing fundamental counting

Statistical Thinking in Epidemiology

by Yu-Kang Tu Mark Gilthorpe

While biomedical researchers may be able to follow instructions in the manuals accompanying the statistical software packages, they do not always have sufficient knowledge to choose the appropriate statistical methods and correctly interpret their results. Statistical Thinking in Epidemiology examines common methodological and statistical problems

Quasi-Least Squares Regression

by Justine Shults Joseph M. Hilbe

Drawing on the authors' substantial expertise in modeling longitudinal and clustered data, Quasi-Least Squares Regression provides a thorough treatment of quasi-least squares (QLS) regression-a computational approach for the estimation of correlation parameters within the framework of generalized estimating equations (GEEs). The authors present a d

The Runmakers: A New Way to Rate Baseball Players

by Frederick E. Taylor

Statistics are the lifeblood of baseball. Managers pore over batting averages to determine game day lineups and batting orders; high number of runs batted in and low earned run averages receive praise from the press, higher salaries from the front office, and love from fans; and the fate of fantasy baseball players rises and falls with each statistical change. The prominence of the RC/27 and other more complex, formula-driven stats has made numbers even more important to understanding and appreciating the game. For all these baseball buffs and more, Frederick E. Taylor provides a new measure of hitting prowess that just might be a game changer. Taylor's potential runs per game (PRG) measure accounts for batters getting on base, advancing runners, and driving in runs, and it separates leadoff and second batters from those in the middle of the order. Taylor introduces the measure, explains how it works, and applies it to players past and present. He breaks the history of major league baseball into eight eras based on differences in runs scored per game. He systematically—player-by-player and position-by-position—compares the results of the PRG measure to those drawn from other statistics, such as on-base percentage and slugging average. Taylor shows that PRG is more accurate and that career clutch hitting is a myth.Sabermetricians, baseball fans of all stripes, and anyone who earns a living from the sport will find a wealth of information and a whole new set of stats to obsess over in The Runmakers. Measuring baseball will never be the same.

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