математика (страница 60)

Автор: Группа авторов

A unique, integrated treatment of computer modeling and simulation «The future of science belongs to those willing to make the shift to simulation-based modeling,» predicts Rice Professor James Thompson, a leading modeler and computational statistician widely known for his original ideas and engaging style. He discusses methods, available to anyone with a fast desktop computer, for integrating simulation into the modeling process in order to create meaningful models of real phenomena. Drawing from a wealth of experience, he gives examples from trading markets, oncology, epidemiology, statistical process control, physics, public policy, combat, real-world optimization, Bayesian analyses, and population dynamics. Dr. Thompson believes that, so far from liberating us from the necessity of modeling, the fast computer enables us to engage in realistic models of processes in , for example, economics, which have not been possible earlier because simple stochastic models in the forward temporal direction generally become quite unmanageably complex when one is looking for such things as likelihoods. Thompson shows how simulation may be used to bypass the necessity of obtaining likelihood functions or moment-generating functions as a precursor to parameter estimation. Simulation: A Modeler's Approach is a provocative and practical guide for professionals in applied statistics as well as engineers, scientists, computer scientists, financial analysts, and anyone with an interest in the synergy between data, models, and the digital computer.

Купить

Автор: Группа авторов

Купить

Автор: Группа авторов

Written and edited by a group of renowned specialists in the field, this outstanding new volume addresses primary computational techniques for developing new technologies in soft computing. It also highlights the security, privacy, artificial intelligence, and practical approaches needed by engineers and scientists in all fields of science and technology. It highlights the current research, which is intended to advance not only mathematics but all areas of science, research, and development, and where these disciplines intersect. As the book is focused on emerging concepts in machine learning and artificial intelligence algorithmic approaches and soft computing techniques, it is an invaluable tool for researchers, academicians, data scientists, and technology developers. The newest and most comprehensive volume in the area of mathematical methods for use in real-time engineering, this groundbreaking new work is a must-have for any engineer or scientist’s library. Also useful as a textbook for the student, it is a valuable contribution to the advancement of the science, both a working handbook for the new hire or student, and a reference for the veteran engineer.

Купить

Автор: Группа авторов

Simulation and Monte Carlo is aimed at students studying for degrees in Mathematics, Statistics, Financial Mathematics, Operational Research, Computer Science, and allied subjects, who wish an up-to-date account of the theory and practice of Simulation. Its distinguishing features are in-depth accounts of the theory of Simulation, including the important topic of variance reduction techniques, together with illustrative applications in Financial Mathematics, Markov chain Monte Carlo, and Discrete Event Simulation. Each chapter contains a good selection of exercises and solutions with an accompanying appendix comprising a Maple worksheet containing simulation procedures. The worksheets can also be downloaded from the web site supporting the book. This encourages readers to adopt a hands-on approach in the effective design of simulation experiments. Arising from a course taught at Edinburgh University over several years, the book will also appeal to practitioners working in the finance industry, statistics and operations research.

Купить

Автор: Reuven Y. Rubinstein

This accessible new edition explores the major topics in Monte Carlo simulation that have arisen over the past 30 years and presents a sound foundation for problem solving Simulation and the Monte Carlo Method, Third Edition reflects the latest developments in the field and presents a fully updated and comprehensive account of the state-of-the-art theory, methods and applications that have emerged in Monte Carlo simulation since the publication of the classic First Edition over more than a quarter of a century ago. While maintaining its accessible and intuitive approach, this revised edition features a wealth of up-to-date information that facilitates a deeper understanding of problem solving across a wide array of subject areas, such as engineering, statistics, computer science, mathematics, and the physical and life sciences. The book begins with a modernized introduction that addresses the basic concepts of probability, Markov processes, and convex optimization. Subsequent chapters discuss the dramatic changes that have occurred in the field of the Monte Carlo method, with coverage of many modern topics including: Markov Chain Monte Carlo, variance reduction techniques such as importance (re-)sampling, and the transform likelihood ratio method, the score function method for sensitivity analysis, the stochastic approximation method and the stochastic counter-part method for Monte Carlo optimization, the cross-entropy method for rare events estimation and combinatorial optimization, and application of Monte Carlo techniques for counting problems. An extensive range of exercises is provided at the end of each chapter, as well as a generous sampling of applied examples. The Third Edition features a new chapter on the highly versatile splitting method, with applications to rare-event estimation, counting, sampling, and optimization. A second new chapter introduces the stochastic enumeration method, which is a new fast sequential Monte Carlo method for tree search. In addition, the Third Edition features new material on: • Random number generation, including multiple-recursive generators and the Mersenne Twister • Simulation of Gaussian processes, Brownian motion, and diffusion processes • Multilevel Monte Carlo method • New enhancements of the cross-entropy (CE) method, including the “improved” CE method, which uses sampling from the zero-variance distribution to find the optimal importance sampling parameters • Over 100 algorithms in modern pseudo code with flow control • Over 25 new exercises Simulation and the Monte Carlo Method, Third Edition is an excellent text for upper-undergraduate and beginning graduate courses in stochastic simulation and Monte Carlo techniques. The book also serves as a valuable reference for professionals who would like to achieve a more formal understanding of the Monte Carlo method. Reuven Y. Rubinstein, DSc, was Professor Emeritus in the Faculty of Industrial Engineering and Management at Technion-Israel Institute of Technology. He served as a consultant at numerous large-scale organizations, such as IBM, Motorola, and NEC. The author of over 100 articles and six books, Dr. Rubinstein was also the inventor of the popular score-function method in simulation analysis and generic cross-entropy methods for combinatorial optimization and counting. Dirk P. Kroese, PhD, is a Professor of Mathematics and Statistics in the School of Mathematics and Physics of The University of Queensland, Australia. He has published over 100 articles and four books in a wide range of areas in applied probability and statistics, including Monte Carlo methods, cross-entropy, randomized algorithms, tele-traffic c theory, reliability, computational statistics, applied probability, and stochastic modeling.

Купить

Автор: Dirk Kroese P

This accessible new edition explores the major topics in Monte Carlo simulation Simulation and the Monte Carlo Method, Second Edition reflects the latest developments in the field and presents a fully updated and comprehensive account of the major topics that have emerged in Monte Carlo simulation since the publication of the classic First Edition over twenty-five years ago. While maintaining its accessible and intuitive approach, this revised edition features a wealth of up-to-date information that facilitates a deeper understanding of problem solving across a wide array of subject areas, such as engineering, statistics, computer science, mathematics, and the physical and life sciences. The book begins with a modernized introduction that addresses the basic concepts of probability, Markov processes, and convex optimization. Subsequent chapters discuss the dramatic changes that have occurred in the field of the Monte Carlo method, with coverage of many modern topics including: Markov Chain Monte Carlo Variance reduction techniques such as the transform likelihood ratio method and the screening method The score function method for sensitivity analysis The stochastic approximation method and the stochastic counter-part method for Monte Carlo optimization The cross-entropy method to rare events estimation and combinatorial optimization Application of Monte Carlo techniques for counting problems, with an emphasis on the parametric minimum cross-entropy method An extensive range of exercises is provided at the end of each chapter, with more difficult sections and exercises marked accordingly for advanced readers. A generous sampling of applied examples is positioned throughout the book, emphasizing various areas of application, and a detailed appendix presents an introduction to exponential families, a discussion of the computational complexity of stochastic programming problems, and sample MATLAB programs. Requiring only a basic, introductory knowledge of probability and statistics, Simulation and the Monte Carlo Method, Second Edition is an excellent text for upper-undergraduate and beginning graduate courses in simulation and Monte Carlo techniques. The book also serves as a valuable reference for professionals who would like to achieve a more formal understanding of the Monte Carlo method.

Купить

Автор: ManuelGuillermo Fl?rez

Este libro, Sistema operativo GNU Linux, ha sido redactado a partir de una amplia experiencia, y por lo tanto es una excelente contribuci?n al estudio de ?stas ?reas, que tiene en cuenta la din?mica tecnol?gica, los avances en el conocimiento, y la posibilidad de autoaprendizaje tan necesaria en la actualidad. El libro logra introducir te?ricamente al usuario en el sistema operativo GNU Linux, y movitarlo para enfrentar la pr?ctica. Adem?s, mediante ejercicios, el lector-estudiante, podr? evaluar su capacidad de asimilaci?n de los conocimientos t?cnicos, explotar su creatividad, y plantearse nuevas preguntas.

Купить

Автор: Gabriel Carmona Romera

– Conocer el funcionamiento b?sico de los elementos que conforman el equipo inform?tico disponible en el desarrollo de la actividad administrativa, con el fin de garantizar su operatividad. – Utilizar las herramientas de b?squeda, recuperaci?n y organizaci?n de la informaci?n dentro del sistema, y en la red –intranet o Internet–, de forma precisa y eficiente. – Utilizar las funciones de las aplicaciones de correo y en procesos tipo de recepci?n, emisi?n y registro de informaci?n.

Купить

Автор: Gabriel Carmona Romera

– Conocer el funcionamiento b?sico de los elementos que conforman el equipo inform?tico disponible en el desarrollo de la actividad administrativa, con el fin de garantizar su operatividad. – Utilizar las herramientas de b?squeda, recuperaci?n y organizaci?n de la informaci?n dentro del sistema, y en la red –intranet o Internet–, de forma precisa y eficiente. – Utilizar las funciones de las aplicaciones de correo y en procesos tipo de recepci?n, emisi?n y registro de informaci?n.

Купить

Автор: Группа авторов

Купить

Автор: Molina Isabel

Praise for the First Edition «This pioneering work, in which Rao provides a comprehensive and up-to-date treatment of small area estimation, will become a classic…I believe that it has the potential to turn small area estimation…into a larger area of importance to both researchers and practitioners.» —Journal of the American Statistical Association Written by two experts in the field, Small Area Estimation, Second Edition provides a comprehensive and up-to-date account of the methods and theory of small area estimation (SAE), particularly indirect estimation based on explicit small area linking models. The model-based approach to small area estimation offers several advantages including increased precision, the derivation of «optimal» estimates and associated measures of variability under an assumed model, and the validation of models from the sample data. Emphasizing real data throughout, the Second Edition maintains a self-contained account of crucial theoretical and methodological developments in the field of SAE. The new edition provides extensive accounts of new and updated research, which often involves complex theory to handle model misspecifications and other complexities. Including information on survey design issues and traditional methods employing indirect estimates based on implicit linking models, Small Area Estimation, Second Edition also features: Additional sections describing the use of R code data sets for readers to use when replicating applications Numerous examples of SAE applications throughout each chapter, including recent applications in U.S. Federal programs New topical coverage on extended design issues, synthetic estimation, further refinements and solutions to the Fay-Herriot area level model, basic unit level models, and spatial and time series models A discussion of the advantages and limitations of various SAE methods for model selection from data as well as comparisons of estimates derived from models to reliable values obtained from external sources, such as previous census or administrative data Small Area Estimation, Second Edition is an excellent reference for practicing statisticians and survey methodologists as well as practitioners interested in learning SAE methods. The Second Edition is also an ideal textbook for graduate-level courses in SAE and reliable small area statistics.

Купить

Автор: Eric Tyson

Make big sense of small business Small Business For Dummies has been a leading resource for starting and running a small business. Calling upon their six decades-plus of combined experience running small businesses, Eric Tyson and Jim Schell once again provide readers with their time-tested advice and the latest information on starting and growing a small business. This new edition covers all aspects of small business from the initial business plan to the everyday realities of financing, marketing, employing technology and management—and what it takes to achieve and maintain success in an ever-changing entrepreneurial landscape. Write a strategic business plan Start, establish, or rejuvenate a small business Hire and retain the best employees Get a small business loan If you’re a beginning entrepreneur looking to start and run your own small business, this book gives you all the tools of the trade you’ll need to make it a success.

Купить

Автор: Sergio Colado

El desarrollo de la econom?a mundial ha llegado a un punto en el que se hace necesario un replanteamiento profundo, no solo de las formas productivas de las empresas o de la misma concepci?n de las l?neas de negocio, sino tambi?n de los modelos de gesti?n de las ciudades. El crecimiento y la evoluci?n de sus necesidades, ha obligado a las ciudades a aplicar diferentes soluciones de gesti?n de sus recursos, pero normalmente de forma individual y no coordinadas. El concepto Smart City nace como idea global de la gesti?n de los recursos de una ciudad dirigidos a mejorar la calidad de vida de los ciudadanos. En este libro se ha tomando como punto de partida un modelo de Smart City en torno a seis caracter?sticas: Econom?a, Gesti?n de gobierno, Ciudadan?a, Entorno, Calidad de vida y Movilidad. A partir de este modelo se han desarrollado unos objetivos que se han agrupado en una serie de servicios, para los que se han descrito las principales tecnolog?as que disponemos en la actualidad, destacando la aportaci?n de las TIC y NTIC. Obteniendo una serie de plataformas de servicios, que se deben integrar y conectar entre s?, facilitando que el ciudadano forme parte activa del proceso de gesti?n de su ciudad. Finalmente, se analiza el grado de implantaci?n del modelo Smart City a nivel mundial a trav?s de casos pr?cticos y de las experiencias de algunas ciudades. Este libro es el primer tomo de una serie que tiene como objetivo profundizar en el concepto de la Smart City.

Купить

Автор: Jutta Schmidt

Купить

Автор: Sabonnadi?re Jean-Claude

On a worldwide basis, the development of SmartGrids is a consistent answer to the problem of an efficient and sustainable delivery of electric energy through distribution grids. SmartGrids are a combination of information and communication technologies and new energy technologies. There are many different definitions of the concept of SmartGrids and thus it appears indispensable to gather the knowledge available from both industry and research laboratories in one book. Distributed generation is rightly receiving an increased amount of attention and will become an integral part of urban energy systems, providing consumers and energy providers with safe, affordable, clean, reliable, flexible and readily-accessible energy services. The aim of this book is to describe future electricity networks that will enable all energy services to become sustainable. The traditional design of network control systems with a centralized structure is not in-line with the paradigm of the unbundled electricity system and decentralized control; this is highlighted by looking at how future active networks will efficiently link small- and medium-scale power sources with consumer demands, allowing decisions to be made on how best to operate in real time. It also looks at the level of control required: power flow assessment, voltage control and protection require cost-competitive technologies and new communication systems with more sensors and actuators than presently used, certainly in relation to the distribution systems. To manage active networks, a vision of grid computing is created that assures universal access to computing resources. An intelligent grid infrastructure gives more flexibility concerning demand and supply, providing new instruments for optimal and cost-effective grid operation at the same time.

Купить

Автор: O. Thas

In this fully revised and expanded edition of Smooth Tests of Goodness of Fit, the latest powerful techniques for assessing statistical and probabilistic models using this proven class of procedures are presented in a practical and easily accessible manner. Emphasis is placed on modern developments such as data-driven tests, diagnostic properties, and model selection techniques. Applicable to most statistical distributions, the methodology described in this book is optimal for deriving tests of fit for new distributions and complex probabilistic models, and is a standard against which new procedures should be compared. New features of the second edition include: Expansion of the methodology to cover virtually any statistical distribution, including exponential families Discussion and application of data-driven smooth tests Techniques for the selection of the best model for the data, with a guide to acceptable alternatives Numerous new, revised, and expanded examples, generated using R code Smooth Tests of Goodness of Fit is an invaluable resource for all methodological researchers as well as graduate students undertaking goodness-of-fit, statistical, and probabilistic model assessment courses. Practitioners wishing to make an informed choice of goodness-of-fit test will also find this book an indispensible guide. Reviews of the first edition: «This book gives a very readable account of the smooth tests of goodness of fit. The book can be read by scientists having only an introductory knowledge of statistics. It contains a fairly extensive list of references; research will find it helpful for the further development of smooth tests.» –T.K. Chandra, Zentralblatt f?r Mathematik und ihre Grenzgebiete, Band 73, 1/92' «An excellent job of showing how smooth tests (a class of goodness of fit tests) are generally and easily applicable in assessing the validity of models involving statistical distributions....Highly recommended for undergraduate and graduate libraries.» –Choice «The book can be read by scientists having only an introductory knowledge of statistics. It contains a fairly extensive list of references; researchers will find it helpful for the further development of smooth tests.»–Mathematical Reviews «Very rich in examples . . . Should find its way to the desks of many statisticians.» –Technometrics

Купить

Автор: Группа авторов

An applied treatment of the key methods and state-of-the-art tools for visualizing and understanding statistical data Smoothing of Multivariate Data provides an illustrative and hands-on approach to the multivariate aspects of density estimation, emphasizing the use of visualization tools. Rather than outlining the theoretical concepts of classification and regression, this book focuses on the procedures for estimating a multivariate distribution via smoothing. The author first provides an introduction to various visualization tools that can be used to construct representations of multivariate functions, sets, data, and scales of multivariate density estimates. Next, readers are presented with an extensive review of the basic mathematical tools that are needed to asymptotically analyze the behavior of multivariate density estimators, with coverage of density classes, lower bounds, empirical processes, and manipulation of density estimates. The book concludes with an extensive toolbox of multivariate density estimators, including anisotropic kernel estimators, minimization estimators, multivariate adaptive histograms, and wavelet estimators. A completely interactive experience is encouraged, as all examples and figurescan be easily replicated using the R software package, and every chapter concludes with numerous exercises that allow readers to test their understanding of the presented techniques. The R software is freely available on the book's related Web site along with «Code» sections for each chapter that provide short instructions for working in the R environment. Combining mathematical analysis with practical implementations, Smoothing of Multivariate Data is an excellent book for courses in multivariate analysis, data analysis, and nonparametric statistics at the upper-undergraduate and graduatelevels. It also serves as a valuable reference for practitioners and researchers in the fields of statistics, computer science, economics, and engineering.

Купить

Автор: Franziska Brandt-Biesler

Серия: Dein Business

Купить

Автор: Jorge Enrique Altieri

De v?ctimas y victimarios. Relatos de tiempos b?rbaros.
"La incomprensi?n del presente nace fatalmente de la ignorancia del pasado. Pero no es, quiz?s, menos vano esforzarse por comprender el pasado si no se sabe nada del presente." – Marc Bloch.
Apelando a relatos cortos, Jorge Altieri narra hechos hist?ricos que tuvieron lugar en ambas m?rgenes del R?o de la Plata durante el per?odo que abarc? nuestras guerras civiles en el siglo XIX. Algunos de los hombres y mujeres que dan vida a los mismos, probablemente sean conocidos por el lector, pero otros se presentar?n a su consideraci?n, tal vez por vez primera. La relaci?n entre las v?ctimas y victimarios est? signada por la tragedia y los vaivenes del destino. El hilo conductor de los relatos es la barbarie, la crueldad y el salvajismo. La forma de matar o morir no dejar? a nadie imperturbable. As?, el autor pretende ofrecer a sus lectores una visi?n de la ?poca, potente en su esencia, pero a la vez entretenida. En estas p?ginas escritas con estilo llano y directo no hay lugar para personajes de ficci?n sino de carne y hueso, tampoco se apela a una descripci?n almibarada de los hechos, por el contrario, hay violencia, sufrimiento, abuso y maltrato. Los ajustes de cuentas, no dejan lugar a dudas que, en esa ?poca, la manera de hacer justicia era sumar?sima, pragm?tica y carente de todo remordimiento. En pleno siglo XXI y pese a todos los esfuerzos por lograr la ansiada uni?n nacional, la Argentina se muestra tan dividida como hace doscientos a?os.

Купить

Автор: Daniel Birke

Reveals how consumer choice can be better understood and influenced using social networks analysis (SNA) Intuitively, we all appreciate that we can be influenced by our friends and peers in what we do, how we behave, and what products we consume. Until recently, it has been difficult to measure this interdependence, mainly because data on social networks was difficult to collect and not readily available. More and more companies such as mobile phone carriers or social networking sites such as Facebook are collecting such data electronically. Daniel Birke illustrates in compelling real-world case studies how companies use social networks for marketing purposes and which statistical analysis and unique datasets can be used. Social Networks and their Economics: Explores network effects and the analysis of social networks, whilst providing an overview of the state-of-the art research. Looks at consumption interdependences between friends and peers: Who is influencing who through which channels and to what degree? Presents statistical methods and research techniques that can be used in the analysis of social networks. Examines SNA and its practical application for marketing purposes. Features a supporting website www.wiley.com/go/social_networks featuring SNA visualizations and business case studies. Aimed at post-graduate students involved in social network analysis, industrial economics, innovation and consumer marketing, this book offers a unique perspective from both an academic and practitioner point of view on how social networks can help understand and influence consumer behaviour. This book will prove to be a useful resource for marketing practitioners from companies where social network data is available and for consulting companies who advise businesses on marketing and social media related issues.

Купить

Автор: Manuel Antonio Vivanco Arancibia

El desarrollo del conocimiento ha impuesto la necesidad de poner en juego nuevos principios y procedimientos. No se trata s?lo de nuevas l?gicas, geometr?as, lenguajes y algoritmos sino tambi?n de promover un nuevo paradigma.

Купить

Автор: Sabine Bernecker-Bendixen

Серия: Shortcuts

Купить

Автор: Johann Georg Zimmermann

La soledad es ese estado intelectual en el que la mente se entrega voluntariamente a sus propios reflejos. El fil?sofo, por lo tanto, que retira su atenci?n de cada objeto externo a la contemplaci?n de sus propias ideas, no es menos solitario que el que abandona la sociedad y se resigna por completo a los placeres tranquilos de la vida solitaria. La palabra «soledad» no necesariamente importa un retiro total del mundo y sus preocupaciones: la c?pula de la sociedad dom?stica, una aldea rural o la biblioteca de un amigo erudito, respectivamente, pueden convertirse en la sede de la soledad, as? como el silencio sombra de alg?n lugar secuestrado muy alejado de toda conexi?n con la humanidad. Una persona puede ser frecuentemente solitaria sin estar sola. El altivo bar?n, orgulloso de su ilustre descenso, es solitario a menos que est? rodeado de sus iguales: un profundo razonador es solitario en las mesas de los ingeniosos y los homosexuales. La mente puede estar tan abstra?da en medio de una numerosa asamblea; tanto retirado de cada objeto circundante; como retirado y concentrado en s? mismo; tan solitario, en resumen, como un monje en su claustro o un ermita?o en su cueva. La soledad, de hecho, puede existir en medio de la tumultuosa relaci?n sexual de una ciudad agitada, as? como en las sombras pac?ficas de la jubilaci?n rural; en Londres y en Par?s, as? como en las llanuras de Tebas y los desiertos de Nitria. La mente, cuando se retira de los objetos externos, adopta, libre y extensamente, los dictados de sus propias ideas, y sigue impl?citamente el gusto, el temperamento, la inclinaci?n y el genio de su poseedor. Mientras paseaba por los claustros del convento de Magdalen en Hidelshiem, no pude observar, sin una sonrisa, un aviario de p?jaros canarios, que hab?a sido criado en la celda de una devota. Un caballero de Brabante, vivi? veinticinco a?os sin salir de su casa, entreteni?ndose durante ese largo per?odo formando un magn?fico gabinete de cuadros y pinturas. Incluso los cautivos desafortunados, que est?n condenados al encarcelamiento perpetuo, pueden suavizar los rigores de su destino, resign?ndose, hasta donde su situaci?n lo permita, a la pasi?n dominante de sus almas. Michael Ducret, el fil?sofo suizo, mientras estaba confinado en el castillo de Aarburg, en el cant?n de Berna, en Suiza, midi? la altura de los Alpes: y mientras la mente del bar?n Trenck, durante su encarcelamiento en Magdebourg, permanec?a incesante Ansiedad, inventando proyectos para escapar, el general Walrave, el compa?ero de su cautiverio, pas? su tiempo contento alimentando pollos. La mente humana, en la medida en que se ve privada de recursos externos, trabaja arduamente para encontrar en s? misma los medios de la felicidad, aprende a confiar con confianza en sus propios esfuerzos y gana con mayor certeza el poder de ser feliz. Por lo tanto, me pareci? que un trabajo sobre el tema de la soledad facilitar?a al hombre en su b?squeda de la verdadera felicidad. Sin embargo, indigno, como me parecen ser la disipaci?n y los placeres del mundo, de la avidez con la que se persiguen, desapruebo igualmente el sistema extravagante que inculca un abandono total de la sociedad; que se considerar?, cuando se examine seriamente, que es igualmente rom?ntico e impracticable. Ser capaz de vivir independientemente de toda asistencia, excepto de nuestro propio poder, es, lo reconozco, un noble esfuerzo de la mente humana; pero es igualmente grandioso y digno aprender el arte de disfrutar las comodidades de la sociedad con felicidad para nosotros mismos y con utilidad para los dem?s.

Исполнители: Сергей Ларионов

Купить

Автор: James F. Epperson

Купить

Автор: Carla C. Morris

A solutions manual to accompany Finite Mathematics: Models and Applications In order to emphasize the main concepts of each chapter, Finite Mathematics: Models and Applications features plentiful pedagogical elements throughout such as special exercises, end notes, hints, select solutions, biographies of key mathematicians, boxed key principles, a glossary of important terms and topics, and an overview of use of technology. The book encourages the modeling of linear programs and their solutions and uses common computer software programs such as LINDO. In addition to extensive chapters on probability and statistics, principles and applications of matrices are included as well as topics for enrichment such as the Monte Carlo method, game theory, kinship matrices, and dynamic programming. Supplemented with online instructional support materials, the book features coverage including: Algebra Skills Mathematics of Finance Matrix Algebra Geometric Solutions Simplex Methods Application Models Set and Probability Relationships Random Variables and Probability Distributions Markov Chains Mathematical Statistics Enrichment in Finite Mathematics

Купить

Автор: J. E. Lewis

Solutions Manual to accompany Classical Geometry: Euclidean, Transformational, Inversive, and Projective Written by well-known mathematical problem solvers, Classical Geometry: Euclidean, Transformational, Inversive, and Projective features up-to-date and applicable coverage of the wide spectrum of geometry and aids readers in learning the art of logical reasoning, modeling, and proof. With its reader-friendly approach, this undergraduate text features self-contained topical coverage and provides a large selection of solved exercises to aid in reader comprehension. Material in this text can be tailored for a one-, two-, or three-semester sequence.

Купить

Автор: James Epperson F

A solutions manual to accompany An Introduction to Numerical Methods and Analysis, Second Edition An Introduction to Numerical Methods and Analysis, Second Edition reflects the latest trends in the field, includes new material and revised exercises, and offers a unique emphasis on applications. The author clearly explains how to both construct and evaluate approximations for accuracy and performance, which are key skills in a variety of fields. A wide range of higher-level methods and solutions, including new topics such as the roots of polynomials, spectral collocation, finite element ideas, and Clenshaw-Curtis quadrature, are presented from an introductory perspective, and theSecond Edition also features: Chapters and sections that begin with basic, elementary material followed by gradual coverage of more advanced material Exercises ranging from simple hand computations to challenging derivations and minor proofs to programming exercises Widespread exposure and utilization of MATLAB® An appendix that contains proofs of various theorems and other material

Купить

Автор: James F. Epperson

A solutions manual to accompany An Introduction to Numerical Methods and Analysis, Third Edition An Introduction to Numerical Methods and Analysis helps students gain a solid understanding of a wide range of numerical approximation methods for solving problems of mathematical analysis. Designed for entry-level courses on the subject, this popular textbook maximizes teaching flexibility by first covering basic topics before gradually moving to more advanced material in each chapter and section. Throughout the text, students are provided clear and accessible guidance on a wide range of numerical methods and analysis techniques, including root-finding, numerical integration, interpolation, solution of systems of equations, and many others. This fully revised third edition contains new sections on higher-order difference methods, the bisection and inertia method for computing eigenvalues of a symmetric matrix, a completely re-written section on different methods for Poisson equations, and spectral methods for higher-dimensional problems. New problem sets—ranging in difficulty from simple computations to challenging derivations and proofs—are complemented by computer programming exercises, illustrative examples, and sample code. This acclaimed textbook: Explains how to both construct and evaluate approximations for accuracy and performance Covers both elementary concepts and tools and higher-level methods and solutions Features new and updated material reflecting new trends and applications in the field Contains an introduction to key concepts, a calculus review, an updated primer on computer arithmetic, a brief history of scientific computing, a survey of computer languages and software, and a revised literature review Includes an appendix of proofs of selected theorems and author-hosted companion website with additional exercises, application models, and supplemental resources

Купить

Автор: Группа авторов

An introductory perspective on statistical applications in the field of engineering Modern Engineering Statistics presents state-of-the-art statistical methodology germane to engineering applications. With a nice blend of methodology and applications, this book provides and carefully explains the concepts necessary for students to fully grasp and appreciate contemporary statistical techniques in the context of engineering. With almost thirty years of teaching experience, many of which were spent teaching engineering statistics courses, the author has successfully developed a book that displays modern statistical techniques and provides effective tools for student use. This book features: Examples demonstrating the use of statistical thinking and methodology for practicing engineers A large number of chapter exercises that provide the opportunity for readers to solve engineering-related problems, often using real data sets Clear illustrations of the relationship between hypothesis tests and confidence intervals Extensive use of Minitab and JMP to illustrate statistical analyses The book is written in an engaging style that interconnects and builds on discussions, examples, and methods as readers progress from chapter to chapter. The assumptions on which the methodology is based are stated and tested in applications. Each chapter concludes with a summary highlighting the key points that are needed in order to advance in the text, as well as a list of references for further reading. Certain chapters that contain more than a few methods also provide end-of-chapter guidelines on the proper selection and use of those methods. Bridging the gap between statistics education and real-world applications, Modern Engineering Statistics is ideal for either a one- or two-semester course in engineering statistics.

Купить

Автор: Granville Sewell

Solve engineering and scientific partial differential equation applications using the PDE2D software developed by the author Solving Partial Differential Equation Applications with PDE2D derives and solves a range of ordinary and partial differential equation (PDE) applications. This book describes an easy-to-use, general purpose, and time-tested PDE solver developed by the author that can be applied to a wide variety of science and engineering problems. The equations studied include many time-dependent, steady-state and eigenvalue applications such as diffusion, heat conduction and convection, image processing, math finance, fluid flow, and elasticity and quantum mechanics, in one, two, and three space dimensions. The author begins with some simple «0D» problems that give the reader an opportunity to become familiar with PDE2D before proceeding to more difficult problems. The book ends with the solution of a very difficult nonlinear problem, which requires a moving adaptive grid because the solution has sharp, moving peaks. This important book: Describes a finite-element program, PDE2D, developed by the author over the course of 40 years Derives the ordinary and partial differential equations, with appropriate initial and boundary conditions, for a wide variety of applications Offers free access to the Windows version of the PDE2D software through the author’s website at www.pde2d.com Offers free access to the Linux and MacOSX versions of the PDE2D software also, for instructors who adopt the book for their course and contact the author at www.pde2d.com Written for graduate applied mathematics or computational science classes, Solving Partial Differential Equation Applications with PDE2D offers students the opportunity to actually solve interesting engineering and scientific applications using the accessible PDE2D.

Купить

Автор: Группа авторов

Купить

Автор: Silvia Friedrich

"Das ist Zauberei", fl?stert Egon.
"So etwas gibt es doch gar nicht", sagt Oma Krummbein. Das, was Egon, Lotte, der dicke Fritz und Kater Minkus in diesem Sommer erleben, glaubt ihnen kein Mensch. Denn pl?tzlich gibt es in ihrem beschaulichen Ort sprechende Katzen, m?ffelnde Zauberer und ziemlich viel Verwirrung! Und alles nur, weil Lotte aus der Schule ein St?ckchen Kreide gemopst hat …

Купить

Автор: Nico Quindt

Купить

Автор: Адриан Вебстер

Купить

Автор: Группа авторов

A cutting-edge look at the emerging distributional theory of sorting Research on distributions associated with sorting algorithms has grown dramatically over the last few decades, spawning many exact and limiting distributions of complexity measures for many sorting algorithms. Yet much of this information has been scattered in disparate and highly specialized sources throughout the literature. In Sorting: A Distribution Theory, leading authority Hosam Mahmoud compiles, consolidates, and clarifies the large volume of available research, providing a much-needed, comprehensive treatment of the entire emerging distributional theory of sorting. Mahmoud carefully constructs a logical framework for the analysis of all standard sorting algorithms, focusing on the development of the probability distributions associated with the algorithms, as well as other issues in probability theory such as measures of concentration and rates of convergence. With an emphasis on narrative rather than technical explanations, this exceptionally well-written book makes new results easily accessible to a broad spectrum of readers, including computer professionals, scientists, mathematicians, and engineers. Sorting: A Distribution Theory: * Contains introductory material on complete and partial sorting * Explains insertion sort, quick sort, and merge sort, among other methods * Offers verbal descriptions of the mechanics of the algorithms as well as the necessary code * Illustrates the distribution theory of sorting using a broad array of both classical and modern techniques * Features a variety of end-of-chapter exercises

Купить

Автор: Kate Harrison

Серия: Soul Beach

Купить

Автор: Victoria Eugenia Cabrera Garc?a

Купить

Автор: Eugen Reichl

Серия: SPACE - Die Raumfahrtjahrb?cher

Купить

Автор: Eugen Reichl

Die 17. Ausgabe des Raumfahrt-Klassikers. Nehmen Sie teil am gro?en Abenteuer unserer Zeit… Raumfahrt im 21. Jahrhundert: Spannender als Science Fiction. In den SPACE-Jahrb?chern halten wir f?r Sie die aktuellen Entwicklungen in der Raumfahrt fest. Sachkundig, pointiert, aktuell und spannend
ARTEMIS: Bemannte Mondlandung vorverleg *** Starlink: Begeisterte Kunden, geschockte Astronomen *** Vision SPACE 2040: Ihr Zeittunnel in die Zukunft *** SpaceX: Big Fucking Rocket wird zum Starship *** Hermann Noordung: Vergessener Pionier *** Lunar Gemini: Reserveplan der NASA *** Ein Helikopter auf Titan *** Bemannt zur Venus? *** Science-Fiction Wettbewerb *** Raumfahrtchronik mit Statistik 2018 & 2019 *** SPACE-Panorama – kurz notiert *** und vieles mehr…

Серия: SPACE Raumfahrtjahrb?cher

Купить

Автор: Eugen Reichl

Die 19. Ausgabe des Raumfahrt-Klassikers. Nehmen Sie teil am gro?en Abenteuer unserer Zeit… Raumfahrt im 21. Jahrhundert: Spannender als Science Fiction. In den SPACE-Jahrb?chern halten wir f?r Sie die aktuellen Entwicklungen in der Raumfahrt fest. Sachkundig, pointiert, aktuell und spannend
Deutsche Kleintr?ger – Ein Erfolgsmodell? *** Der Glenn Pilot Report *** Wettflug Branson gegen Bezos *** Mit dem Starship nach Hawaii *** Japan fliegt zu Phobos und Deimos *** China – Das Neueste von der Raumfahrtsupermacht *** W?rzburger Kleinsatelliten im Formationsflug *** Spaceports in Europa *** Die Vision: Zu Mond und Mars *** SF-Wettbewerb 2021 *** Raumfahrtchronik und Raumfahrtstatistik *** Raumfahrt-Panorama *** und vieles mehr…

Серия: SPACE Raumfahrtjahrb?cher

Купить

Автор: Группа авторов

Купить

Автор: Jean-Luc Lefebvre

Strategy is the art of thinking about war before it occurs. Noting that space already plays a role in all of today’s wars, Space Strategy studies how conflicts are extending into this new domain. The book defines extra-atmospheric space and focuses on its varying features and constraints. By exploring the opportunities for action provided by different strategic positions, the book analyzes the most plausible combat scenarios from, against and within space. It explains the concepts of militarization, weaponization and martialization of space and shows how space systems constitute an essential component of information literacy – the key to power in the 21st Century. Space Strategy then demonstrates why our society, having become space-dependent, must take appropriate measures to develop its spatioresilience. Finally, the author summarizes his reflections in the form of a mnemonic listing twelve principles of space strategy. Completed by educational appendices and a glossary containing one thousand entries, Space Strategy meets the needs of students, researchers or any other reader curious about expanding their knowledge of strategy.

Купить

Автор: Eugen Reichl

Серия: SPACE Raumfahrtjahrb?cher

Купить

Автор: Eugen Reichl

Серия: SPACE Raumfahrtjahrb?cher

Купить

Автор: Eugen Reichl

Серия: SPACE Raumfahrtjahrb?cher

Купить

Автор: Eugen Reichl

Серия: SPACE Raumfahrtjahrb?cher

Купить

Автор: Kanti V. Mardia

Купить

Автор: Okabe Atsuyuki

In the real world, there are numerous and various events that occur on and alongside networks, including the occurrence of traffic accidents on highways, the location of stores alongside roads, the incidence of crime on streets and the contamination along rivers. In order to carry out analyses of those events, the researcher needs to be familiar with a range of specific techniques. Spatial Analysis Along Networks provides a practical guide to the necessary statistical techniques and their computational implementation. Each chapter illustrates a specific technique, from Stochastic Point Processes on a Network and Network Voronoi Diagrams, to Network K-function and Point Density Estimation Methods, and the Network Huff Model. The authors also discuss and illustrate the undertaking of the statistical tests described in a Geographical Information System (GIS) environment as well as demonstrating the user-friendly free software package SANET. Spatial Analysis Along Networks: Presents a much-needed practical guide to statistical spatial analysis of events on and alongside a network, in a logical, user-friendly order. Introduces the preliminary methods involved, before detailing the advanced, computational methods, enabling the readers a complete understanding of the advanced topics. Dedicates a separate chapter to each of the major techniques involved. Demonstrates the practicalities of undertaking the tests described in the book, using a GIS. Is supported by a supplementary website, providing readers with a link to the free software package SANET, so they can execute the statistical methods described in the book. Students and researchers studying spatial statistics, spatial analysis, geography, GIS, OR, traffic accident analysis, criminology, retail marketing, facility management and ecology will benefit from this book.

Купить

Автор: Группа авторов

The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. «Books such as this that bring together, clarify, and summarize recent research can lead to a great increase of interest in the area. . . . a major achievement in describing many aspects of spatial data and discussing, with examples, different methods of analysis.» –Royal Statistical Society «Dr. Ripley’s book is an excellent survey of the spatial statistical methodology. It is very well illustrated with examples [that] give a clear view of the wide scope of the subject, the way in which techniques often have to be tailored to particular applications, and the different sorts of spatial data that arise.» –The Bulletin of the London Mathematics Society Spatial Statistics provides a comprehensive guide to the analysis of spatial data. Each chapter covers a particular data format and the associated class of problems, introducing theory, giving computational suggestions, and providing examples. Methods are illustrated by computer-drawn figures. The book serves as an introduction to this rapidly growing research area for mathematicians and statisticians, and as a reference to new computer methods for researchers in ecology, geology, archaeology, and the earth sciences.

Купить

Автор: Группа авторов

This book gives an introduction to the classical, well-known special functions which play a role in mathematical physics, especially in boundary value problems. Calculus and complex function theory form the basis of the book and numerous formulas are given. Particular attention is given to asymptomatic and numerical aspects of special functions, with numerous references to recent literature provided.

Купить

Автор: Marianna Bolla

Explores regular structures in graphs and contingency tables by spectral theory and statistical methods This book bridges the gap between graph theory and statistics by giving answers to the demanding questions which arise when statisticians are confronted with large weighted graphs or rectangular arrays. Classical and modern statistical methods applicable to biological, social, communication networks, or microarrays are presented together with the theoretical background and proofs. This book is suitable for a one-semester course for graduate students in data mining, multivariate statistics, or applied graph theory; but by skipping the proofs, the algorithms can also be used by specialists who just want to retrieve information from their data when analysing communication, social, or biological networks. Spectral Clustering and Biclustering: Provides a unified treatment for edge-weighted graphs and contingency tables via methods of multivariate statistical analysis (factoring, clustering, and biclustering). Uses spectral embedding and relaxation to estimate multiway cuts of edge-weighted graphs and bicuts of contingency tables. Goes beyond the expanders by describing the structure of dense graphs with a small spectral gap via the structural eigenvalues and eigen-subspaces of the normalized modularity matrix. Treats graphs like statistical data by combining methods of graph theory and statistics. Establishes a common outline structure for the contents of each algorithm, applicable to networks and microarrays, with unified notions and principles.

Купить