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Applied Mathematics for Environmental Problems (SEMA SIMAI Springer Series #6)
by María Isabel Asensio Albert Oliver José SarrateThis book contains some contributions presented at the Applied Mathematics for Environmental Problems minisymposium during the International Congress on Industrial and Applied Mathematics (ICIAM) held July 15-19, 2019 in Valencia, Spain. The first paper addresses a simplified physical wildfire spread model, based on partial differential equations solved with finite element methods and integrated into a GIS to provide a useful and efficient tool. The second paper focuses on one of the causes of the unpredictable behavior of wildfire, fire-spotting, through a statistical approach. The third paper addresses low -level wind shear which represents one of the most relevant hazards during aircraft takeoff and landing. It presents an experimental wind shear alert system that is based on predicting wind velocities obtained from the Harmonie-Arome model. The last paper addresses the environmental impact of oil reservoirs. It presents high-order hybridizable discontinuous Galerkin formulation combined with high-order diagonally implicit Runge-Kutta schemes to solve one-phase and two-phase flow problems through porous media. All the contributions collected in this volume are interesting examples of how mathematics and numerical modelling are effective tools in the field of environmental problems.
Applied Mathematics for Science and Engineering
by Larry A. GlasgowPrepare students for success in using applied mathematics for engineering practice and post-graduate studies * moves from one mathematical method to the next sustaining reader interest and easing the application of the techniques * Uses different examples from chemical, civil, mechanical and various other engineering fields * Based on a decade's worth of the authors lecture notes detailing the topic of applied mathematics for scientists and engineers * Concisely writing with numerous examples provided including historical perspectives as well as a solutions manual for academic adopters
Applied Mathematics for Scientists and Engineers (Textbooks in Mathematics)
by Youssef N. RaffoulAfter many years of teaching graduate courses in applied mathematics, Youssef N. Raffoul saw a need among his students for a book reviewing topics from undergraduate courses to help them recall what they had learned, while his students urged him to publish a brief and approachable book on the topic. Thus, the author used his lecture notes from his graduate course in applied mathematical methods, which comprises three chapters on linear algebra, calculus of variations, and integral equations, to serve as the foundation for this work. These notes have undergone continuous revision. Applied Mathematics for Scientists and Engineers is designed to be used as a graduate textbook for one semester. The five chapters in the book can be used by the instructor to create a one-semester, three-chapter course. The only prerequisites for this self-contained book are a basic understanding of calculus and differential equations. In order to make the book accessible to a broad audience, the author endeavored to strike a balance between rigor and presentation of the most challenging content in a simple format by adopting friendlier, more approachable notations and using numerous examples to clarify complex themes. The hope is both instructors and students will find, in this single volume, a refresher on topics necessary to further their courses and study.
Applied Mathematics for the Analysis of Biomedical Data: Models, Methods, and MATLAB
by Peter J. CostaFeatures a practical approach to the analysis of biomedical data via mathematical methods and provides a MATLAB® toolbox for the collection, visualization, and evaluation of experimental and real-life data Applied Mathematics for the Analysis of Biomedical Data: Models, Methods, and MATLAB® presents a practical approach to the task that biological scientists face when analyzing data.The primary focus is on the application of mathematical models and scientific computingmethods to provide insight into the behavior of biological systems. The author draws upon hisexperience in academia, industry, and government–sponsored research as well as his expertisein MATLAB to produce a suite of computer programs with applications in epidemiology,machine learning, and biostatistics. These models are derived from real–world data andconcerns. Among the topics included are the spread of infectious disease (HIV/AIDS) througha population, statistical pattern recognition methods to determine the presence of disease in adiagnostic sample, and the fundamentals of hypothesis testing. In addition, the author uses his professional experiences to present unique case studies whose analyses provide detailed insights into biological systems and the problems inherent in their examination. The book contains a well-developed and tested set of MATLAB functions that act as a general toolbox for practitioners of quantitative biology and biostatistics. This combination of MATLAB functions and practical tips amplifies the book’s technical merit and value to industry professionals. Through numerous examples and sample code blocks, the book provides readers with illustrations of MATLAB programming. Moreover, the associated toolbox permits readers to engage in the process of data analysis without needing to delve deeply into the mathematical theory. This gives an accessible view of the material for readers with varied backgrounds. As a result, the book provides a streamlined framework for the development of mathematical models, algorithms, and the corresponding computer code. In addition, the book features: • Real–world computational procedures that can be readily applied to similar problems without the need for keen mathematical acumen • Clear delineation of topics to accelerate access to data analysis • Access to a book companion website containing the MATLAB toolbox created for this book, as well as a Solutions Manual with solutions to selected exercises Applied Mathematics for the Analysis of Biomedical Data: Models, Methods, and MATLAB® is an excellent textbook for students in mathematics, biostatistics, the life and social sciences,and quantitative, computational, and mathematical biology. This book is also an ideal referencefor industrial scientists, biostatisticians, product development scientists, and practitionerswho use mathematical models of biological systems in biomedical research, medical devicedevelopment, and pharmaceutical submissions. PETER J. COSTA, PhD, is Senior Applied Mathematician at Hologic Incorporated in Marlborough, MA. Dr. Costa is the co-creator of MATLAB's Symbolic Math Toolbox. He has developed mathematical models for the spread of HIV, the outbreak of AIDS, the transmission of an infectious respiratory disease throughout a population, and the diagnosis of cervical cancer. His research interests include scientific computing and mathematical biology. He received a PhD in Applied Mathematics from the University of Massachusetts at Amherst. Edit
Applied Mathematics in Engineering and Reliability: Proceedings of the 1st International Conference on Applied Mathematics in Engineering and Reliability (Ho Chi Minh City, Vietnam, 4-6 May 2016)
by Radim Briš & Václav Snášel Chu Duc Khanh Phan DaoApplied Mathematics in Engineering and Reliability contains papers presented at the International Conference on Applied Mathematics in Engineering and Reliability (ICAMER 2016, Ho Chi Minh City, Viet Nam, 4-6 May 2016). The book covers a wide range of topics within mathematics applied in reliability, risk and engineering, including:- Risk and Relia
Applied Mathematics in Hydrogeology
by Tien-Chang LeeAs introduced in Dr. Lee's 10-week class, Applied Mathematics in Hydrogeology is written for professionals and graduate students who have a keen interest in the application of mathematics in hydrogeology.Its first seven chapters cover analytical solutions for problems commonly encountered in the study of quantitative hydrogeology, while the final three chapters focus on solving linear simultaneous equations, finite element analysis, and inversion for parameter determination.Dr. Lee provides various equation-solving methods that are of interest to hydrogeologists, geophysicists, soil scientists, and civil engineers, as well as applied physicists and mathematicians. In the classroom, this same information will help students realize how familiar equations in hydrogeology are derived-an important step toward development of a student's own mathematical models.Unlike other applied mathematics books that are structured according to systematic methodology, Applied Mathematics in Hydrogeology emphasizes equation-solving methods according to topics. Hydrogeological problems and governing differential equations are introduced, including hydraulic responses to pumping in confined and unconfined aquifers, as well as transport of heat and solute in flowing groundwater.
Applied Mathematics in Tunisia: International Conference on Advances in Applied Mathematics (ICAAM), Hammamet, Tunisia, December 2013 (Springer Proceedings in Mathematics & Statistics #131)
by Aref Jeribi Mohamed Ali Hammami Afif MasmoudiThis contributed volume presents some recent theoretical advances in mathematics and its applications in various areas of science and technology. Written by internationally recognized scientists and researchers, the chapters in this book are based on talks given at the International Conference on Advances in Applied Mathematics (ICAAM), which took place December 16-19, 2013, in Hammamet, Tunisia. Topics discussed at the conference included spectral theory, operator theory, optimization, numerical analysis, ordinary and partial differential equations, dynamical systems, control theory, probability, and statistics. These proceedings aim to foster and develop further growth in all areas of applied mathematics.
Applied Mathematics with Open-Source Software: Operational Research Problems with Python and R (Chapman & Hall/CRC Series in Operations Research)
by Vincent Knight Geraint PalmerApplied Mathematics with Open-source Software: Operational Research Problems with Python and R is aimed at a broad segment of readers who wish to learn how to use open-source software to solve problems in applied mathematics. The book has an innovative structure with 4 sections of two chapters covering a large range of applied mathematical techniques: probabilistic modelling, dynamical systems, emergent behaviour and optimisation. The pairs of chapters in each section demonstrate different families of solution approaches. Each chapter starts with a problem, gives an overview of the relevant theory, shows a solution approach in R and in Python, and finally gives wider context by including a number of published references. This structure will allow for maximum accessibility, with minimal prerequisites in mathematics or programming as well as giving the right opportunities for a reader wanting to delve deeper into a particular topic. Features An excellent resource for scholars of applied mathematics and operational research, and indeed any academics who want to learn how to use open-source software. Offers more general and accessible treatment of the subject than other texts, both in terms of programming language but also in terms of the subjects considered. The R and Python sections purposefully mirror each other so that a reader can read only the section that interests them. An accompanying open-source repository with source files and further examples is posted online at https://bit.ly/3kpoKSd.
Applied Matrix Acidizing of Carbonate Reservoir (Petroleum Engineering)
by Ehsan Khamehchi Mohammad Reza Khaleghi Amirhossein Abbasi Javad Mahdavi KalatehnoThis book enhances readers’ understanding of matrix acidizing and its pivotal role in the oil and gas industry. It is a comprehensive guide to maximizing reservoir performance. The book explores carbonate reservoirs, where acid meets rock, and indicates pathways to increased well productivity. Based on extensive research, the book has insights for students, professionals, and researchers and all those interesting in realizing the full potential of oil and gas reservoirs.
Applied Matrix Algebra in the Statistical Sciences
by Alexander BasilevskyThis comprehensive text covers both applied and theoretical branches of matrix algebra in the statistical sciences. It also provides a bridge between linear algebra and statistical models. Appropriate for advanced undergraduate and graduate students, the self-contained treatment also constitutes a handy reference for researchers. The only mathematical background necessary is a sound knowledge of high school mathematics and a first course in statistics.Consisting of two interrelated parts, this volume begins with the basic structure of vectors and vector spaces. The latter part emphasizes the diverse properties of matrices and their associated linear transformations--and how these, in turn, depend upon results derived from linear vector spaces. An overview of introductory concepts leads to more advanced topics such as latent roots and vectors, generalized inverses, and nonnegative matrices. Each chapter concludes with a section on real-world statistical applications, plus exercises that offer concrete examples of the applications of matrix algebra.
Applied Matrix and Tensor Variate Data Analysis (SpringerBriefs in Statistics)
by Toshio SakataThis book provides comprehensive reviews of recent progress in matrix variate and tensor variate data analysis from applied points of view. Matrix and tensor approaches for data analysis are known to be extremely useful for recently emerging complex and high-dimensional data in various applied fields. The reviews contained herein cover recent applications of these methods in psychology (Chap. 1), audio signals (Chap. 2) , image analysis from tensor principal component analysis (Chap. 3), and image analysis from decomposition (Chap. 4), and genetic data (Chap. 5) . Readers will be able to understand the present status of these techniques as applicable to their own fields. In Chapter 5 especially, a theory of tensor normal distributions, which is a basic in statistical inference, is developed, and multi-way regression, classification, clustering, and principal component analysis are exemplified under tensor normal distributions. Chapter 6 treats one-sided tests under matrix variate and tensor variate normal distributions, whose theory under multivariate normal distributions has been a popular topic in statistics since the books of Barlow et al. (1972) and Robertson et al. (1988). Chapters 1, 5, and 6 distinguish this book from ordinary engineering books on these topics.
Applied Measurement: Industrial Psychology in Human Resources Management
by Deborah L. Whetzel George R. WheatonAn updated version of Deborah Whetzel and George Wheaton's earlier volume, this text is a well-organized sourcebook for fundamental practices in industrial psychology and human resources management. Applied Measurement describes the process of job analysis and test development with practical examples and discusses various methods for measuring job performance. Its primary purpose is to provide practical, systematic guidance on how to develop the various kinds of measurement instruments frequently used in the fields of industrial psychology and human resources management to assess personnel. With easy to follow guidance written in straightforward language, Applied Measurement contains three new chapters focusing on training and experience measures, assessment centers, and methods for defending the content validity of tests; includes contributions from many prominent researchers in the field, all of whom have had a great deal of applied experience; begins each chapter with an overview describing the job analysis or measurement method; and uses one job, that of an electrician, as an example throughout the book so that readers can easily understand how to apply job analysis data for the purposes of test development and job performance measurement. This practical, concise book is recommended for students and entry-level practitioners in the fields of industrial psychology and human resources.
Applied Measurement with jMetrik
by J. Patrick MeyerjMetrik is a computer program for implementing classical and modern psychometric methods. It is designed to facilitate work in a production environment and to make advanced psychometric procedures accessible to every measurement practitioner. Applied Measurement with jMetrik reviews psychometric theory and describes how to use jMetrik to conduct a comprehensive psychometric analysis. Each chapter focuses on a topic in measurement, describes the steps for using jMetrik, and provides one or more examples of conducting an analysis on the topic. Recommendations and guidance for practice is provided throughout the book.
Applied Mechanical Design: Solved Case Studies And Projects
by Ammar GrousThis book is the result of lessons, tutorials and other laboratories dealing with applied mechanical design in the universities and colleges. In the classical literature of the mechanical design, there are quite a few books that deal directly and theory and case studies, with their solutions. All schools, engineering colleges (technical) industrial and research laboratories and design offices serve design works. However, the books on the market remain tight in the sense that they are often works of mechanical constructions. This is certainly beneficial to the ordinary user, but the organizational part of the functional specification items is also indispensable.
Applied Mechanics and Civil Engineering VI
by Liquan XieApplied Mechanics and Civil Engineering VI includes the contributions to the 6th International Conference on Applied Mechanics and Civil Engineering (AMCE 2016, Hong kong, China, 30-31 December 2016), and showcases the challenging developments in the areas of applied mechanics, civil engineering and associated engineering practice. The book covers a wide variety of topics:- Applied mechanics and its applications in civil engineering;- Bridge engineering;- Underground engineering;- Structural safety and reliability;- Reinforced concrete (RC) structures;- Rock mechanics and rock engineering;- Geotechnical in-situ testing & monitoring;- New construction materials and applications;- Computational mechanics;- Natural hazards and risk, and- Water and hydraulic engineering. Applied Mechanics and Civil Engineering VI will appeal to professionals and academics involved in the above mentioned areas, and it is expected that the book will stimulate new ideas, methods and applications in ongoing civil engineering advances.
Applied Mechanics, Behavior of Materials, and Engineering Systems: Selected contributions to the 5th Algerian Congress of Mechanics, CAM2015, El-Oued, Algeria, October 25 – 29 (Lecture Notes in Mechanical Engineering)
by Taoufik Boukharouba Guy Pluvinage Krimo AzouaouiThis book covers a variety of topics in mechanics, with a special emphasis on material mechanics. It reports on fracture mechanics, fatigue of materials, stress-strain behaviours, as well as transferability problems and constraint effects in fracture mechanics. It covers different kind of materials, from metallic materials such as ferritic and austenitic steels, to composites, concrete, polymers and nanomaterials. Additional topics include heat transfer, quality control and reliability of structures and components. Furthermore, the book gives particular attention to new welding technologies such as STIR welding and spray metal coating, and to novel methods for quality control, such as Taguchi design, fault diagnosis and wavelet analysis. Based on the 2015 edition of the Algerian Congress of Mechanics (Congrès Algérien de Mécanique, CAM), the book also covers energetics, in terms of simulation of turbulent reactive flow, behaviour of supersonic jet, turbulent combustion, fire induced smoke layer, and heat and mass transfer, as well as important concepts related to human reliability and safety of components and structures. All in all, the book represents a complete, practice-oriented reference guide for both academic and professionals in the field of mechanics.
Applied Mechanics of Solids
by Allan F. BowerModern computer simulations make stress analysis easy. As they continue to replace classical mathematical methods of analysis, these software programs require users to have a solid understanding of the fundamental principles on which they are based.Develop Intuitive Ability to Identify and Avoid Physically Meaningless PredictionsApplied Mechanics o
Applied Media Studies: Theory and Practice
by Kirsten OstherrIn the age of the maker movement, hackathons and do-it-yourself participatory culture, the boundaries between digital media theory and production have dissolved. Multidisciplinary humanities labs have sprung up around the globe, generating new forms of hands-on, critical and creative work. The scholars, artists, and scientists behind these projects are inventing new ways of doing media studies teaching and research, developing innovative techniques through experimental practice. This book of case studies brings together practitioners of applied media studies, providing a roadmap for how and why to do hands-on media work in the digital age.
Applied Medical Image Processing: A Basic Course
by Wolfgang BirkfellnerA widely used, classroom-tested text, Applied Medical Image Processing: A Basic Course delivers an ideal introduction to image processing in medicine, emphasizing the clinical relevance and special requirements of the field. Avoiding excessive mathematical formalisms, the book presents key principles by implementing algorithms from scratch and usin
Applied Medical Image Processing: A Basic Course
by Wolfgang BirkfellnerA widely used, classroom-tested text, Applied Medical Image Processing: A Basic Course delivers an ideal introduction to image processing in medicine, emphasizing the clinical relevance and special requirements of the field. Avoiding excessive mathematical formalisms, the book presents key principles by implementing algorithms from scratch and using simple MATLAB®/Octave scripts with image data and illustrations on an accompanying companion website. Organized as a complete textbook, it provides an overview of the physics of medical image processing and discusses imaging physics, clinical applications of image processing, image formats and data storage, intensity transforms, filtering of images and applications of the Fourier transform, three-dimensional spatial transforms, volume rendering, image registration, tomographic reconstruction and basic machine learning.This Third Edition of the bestseller: Contains a brand-new chapter on the basics of machine learning Devotes more attention to the subject of color space Includes additional examples from radiology, internal medicine, surgery, and radiation therapy Incorporates freely available programs in the public domain (e.g., GIMP, 3DSlicer, and ImageJ) when applicable Beneficial to students of medical physics, biomedical engineering, computer science, applied mathematics, and related fields, as well as medical physicists, radiographers, radiologists, and other professionals, Applied Medical Image Processing: A Basic Course, Third Edition is fully updated and expanded to ensure a perfect blend of theory and practice.Wolfgang Birkfellner studied theoretical physics at, and holds a Ph.D in medical physics from, the University of Vienna, Austria. Currently, he is heading the Digital Image Processing Laboratory at the Center for Biomedical Engineering and Physics at the Medical University of Vienna. He is also a reviewer and editorial board member for major journals in the field, program committee member for international conferences, and principal investigator for several third-party funded research projects. Previously, he served as senior researcher at the University Hospital Basel/Switzerland and associate professor of medical physics at the Center for Biomedical Engineering and Physics of Vienna Medical School.
Applied Medical Statistics
by Jingmei JiangAPPLIED MEDICAL STATISTICS An up-to-date exploration of foundational concepts in statistics and probability for medical students and researchers Medical journals and researchers are increasingly recognizing the need for improved statistical rigor in medical science. In Applied Medical Statistics, renowned statistician and researcher Dr. Jingmei Jiang delivers a clear, coherent, and accessible introduction to basic statistical concepts, ideal for medical students and medical research practitioners. The book will help readers master foundational concepts in statistical analysis and assist in the development of a critical understanding of the basic rationale of statistical analysis techniques. The distinguished author presents information without assuming the reader has a background in specialized mathematics, statistics, or probability. All of the described methods are illustrated with up-to-date examples based on real-world medical research, supplemented by exercises and case discussions to help solidify the concepts and give readers an opportunity to critically evaluate different research scenarios. Readers will also benefit from the inclusion of: A thorough introduction to basic concepts in statistics, including foundational terms and definitions, location and spread of data distributions, population parameters estimation, and statistical hypothesis tests Explorations of commonly used statistical methods, including t-tests,analysis of variance, and linear regression Discussions of advanced analysis topics, including multiple linear regression and correlation, logistic regression, and survival analysis Substantive exercises and case discussions at the end of each chapter Perfect for postgraduate medical students, clinicians, and medical and biomedical researchers, Applied Medical Statistics will also earn a place on the shelf of any researcher with an interest in biostatistics or applying statistical methods to their own field of research.
Applied Medical Statistics Using SAS
by Brian S. Everitt Geoff DerWritten with medical statisticians and medical researchers in mind, this intermediate-level reference explores the use of SAS for analyzing medical data. Applied Medical Statistics Using SAS covers the whole range of modern statistical methods used in the analysis of medical data, including regression, analysis of variance and covariance, longitudi
Applied Meisner for the 21st-Century Actor
by Kevin Otos Kim ShivelyApplied Meisner for the 21st-Century Actor develops Meisner’s core principles for the contemporary actor and presents a Meisner-based acting technique that empowers practitioners to take ownership of their own creative process. In this book, the authors present the best, most applicable foundational components of Meisner’s technique in a clear, pragmatic, and ethical manner, and advance Meisner's core principles with their own innovations. Drawing on the best practices of consent-based work, they outline a specific approach to creating clear boundaries for the actor and establishing an ethical acting studio. Filled with practical exercises, useful definitions and explanations of foundational principles, and helpful advice on how to recognize and overcome common acting traps and pitfalls, this book provides a replicable and flexible technique that puts the actor at the center of their training. Applied Meisner for the 21st-Century Actor offers actors and students of acting courses a workable technique that will foster growth and discovery throughout their career. The text also includes links to the companion website www.21CActor.com, where readers can engage with the material covered in the book and with Otos’ and Shively’s most up-to-date research, supplemental materials, and training opportunities.
Applied Mergers and Acquisitions (Wiley Finance #807)
by Robert F. BrunerA comprehensive guide to the world of mergers and acquisitions Why do so many M&A transactions fail? And what drives the success of those deals that are consummated? Robert Bruner explains that M&A can be understood as a response by managers to forces of turbulence in their environment. Despite the material failure rates of mergers and acquisitions, those pulling the trigger on key strategic decisions can make them work if they spend great care and rigor in the development of their M&A deals. By addressing the key factors of M&A success and failure, Applied Mergers and Acquisitions can help readers do this. Written by one of the foremost thinkers and educators in the field, this invaluable resource teaches readers the art and science of M&A valuation, deal negotiation, and bargaining, and provides a framework for considering tradeoffs in an effort to optimize the value of any M&A deal.
Applied Mergers and Acquisitions Workbook (Wiley Finance #175)
by Robert F. BrunerThe Applied Mergers and Acquisitions Workbook provides a useful self-training study guide for readers of Applied Mergers and Acquisitions who want to review the drivers of M&A success and failure. Useful review questions as well as problems and answers are provided for both professionals and students. Readers will further their knowledge, build practical intuition, and learn the art and science of M&A by using this comprehensive self-study workbook in conjunction with the main text.